{ "count" : 98064, "data" : [ { "id" : "6a2a56ef74d8ee00a0609157", "title" : "Computational Fluid Dynamics Applications Engineer", "company" : "AMA", "salary" : { "min" : 95000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Hampton, VA", "locations" : [ "Hampton, VA", "United States of America" ], "timestamp" : "2026-06-13T20:49:39.491", "fingerprint" : "affa7ea77b886ed8718864abd0d3518953a01fba9cb6b66cb2c0b2fd39daf2e2", "source" : "workday", "language" : "en", "applyUrl" : "https://amainc.wd12.myworkdayjobs.com/AMA_Careers/job/Hampton-VA/Computational-Fluid-Dynamics-Applications-Engineer_R-100636", "externalId" : "R-100636", "locationPoint" : "43.52479,-73.25178", "structuredLocations" : [ { "city" : "Hampton", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.0264414,-76.3442846" } ], "locationText" : "Hampton, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "CFD, Aerodynamic analysis, Aeropropulsive analysis, Flight dynamics analysis, OVERFLOW, eVTOL, RANS simulations, Turbulence modeling, Unix, HPC, Scripting, Process automation", "professionalSkills" : [ "Aerodynamics", "Flight dynamics", "Control systems", "Engineering insights", "Simulation workflows" ], "hardSkillsList" : [ "Computational fluid dynamics", "Aerodynamic modeling", "Aeropropulsive modeling", "Grid generation", "CFD solvers", "RANS simulations", "Turbulence modeling", "Flow phenomena", "High-performance computing", "Data visualization" ], "softSkillsList" : [ "Problem-solving", "Analytical capabilities" ], "hardSkills" : [ { "name" : "Computational fluid dynamics", "level" : "intermediate" }, { "name" : "Aerodynamic modeling", "level" : "intermediate" }, { "name" : "Aeropropulsive modeling", "level" : "intermediate" }, { "name" : "Grid generation", "level" : "intermediate" }, { "name" : "CFD solvers", "level" : "intermediate" }, { "name" : "RANS simulations", "level" : "intermediate" }, { "name" : "Turbulence modeling", "level" : "intermediate" }, { "name" : "Flow phenomena", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical capabilities" } ], "majorSkills" : "Computational Fluid Dynamics, Aerodynamic analysis, Flight dynamics modeling, Grid generation", "majorSkillsList" : [ "Computational Fluid Dynamics", "Aerodynamic analysis", "Flight dynamics modeling", "Grid generation" ], "coreResponsibilities" : "Perform CFD simulations for eVTOL vehicles, Develop aeropropulsive models, Predict forces and moments, Generate structured overset grids, Apply physical assumptions, Apply modeling assumptions, Work collaboratively with SMEs, Develop automated frameworks, Prescribe control effector deflections, Prescribe state variables, Assist Dynamics and Control teams, Interpret CFD results, Incorporate CFD results into models, Incorporate CFD results into systems, Analyze CFD results, Interpret CFD results, Provide engineering insights, Document analysis methodologies, Document automated workflows, Document results, Support development of best practices, Implement best practices for CFD workflows", "teamCollaboration" : "Interdisciplinary teams; Flight dynamics SMEs", "domainKnowledge" : "Aerospace engineering; Mechanical engineering; Aerodynamics; Aeropropulsion; Flight dynamics; eVTOL vehicles; Rotorcraft aerodynamics; Rotorcraft flight dynamics", "domainList" : [ "aerospace-engineering", "mechanical-engineering", "aerodynamics", "aeropropulsion", "flight-dynamics", "evtol-vehicles", "rotorcraft-aerodynamics", "rotorcraft-flight-dynamics" ], "domainSpecificKnowledge" : [ "Aerospace engineering", "Mechanical engineering", "Aerodynamics", "Aeropropulsion", "Flight dynamics", "eVTOL vehicles", "Rotorcraft aerodynamics", "Rotorcraft flight dynamics" ], "toolProficiency" : [ "OVERFLOW", "Tecplot", "ParaView", "FieldView", "Chimera Grid Tools", "Pegasus" ], "communicationSkills" : "Written communication; Verbal communication; Technical reports; Presentations", "documentationSkills" : "Technical documentation; Reporting", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Problem-solving; Analytical capabilities", "specialRequirements" : "U. 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Citizenship, Permanent Residence, Occasional travel", "qualificationsBasic" : "Master's degree in aerospace engineering, Bachelor's degree and equivalent work experience, Structured-overset grid generation, Running CFD solvers, Scripting and process automation, Steady and unsteady RANS simulations, Turbulence modeling, Complex flow phenomena, Unix environment, High-performance computing systems, Process and visualize large datasets, Excellent problem-solving capabilities, Excellent analytical capabilities, Written communication skills, Verbal communication skills, Ability to work independently, Closely collaborating with interdisciplinary teams, Technical documentation and reporting", "qualificationsPreferred" : "Overset grid generation tools, Chimera Grid Tools, Pegasus, Running OVERFLOW for rotorcraft, Automated workflow development, Parametric studies, Publications in peer-reviewed journals, Publications in conference proceedings", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "_**Job Description:**_ AMA is seeking a highly skilled Computational Fluid Dynamics (CFD) Applications Engineer to support aerodynamic, aeropropulsive and flight dynamics analysis using the structured, overset-grid code OVERFLOW for a NASA contract. The successful candidate will apply CFD methodologies to analyze complex electric Vertical Take Off and Landing (eVTOL) vehicles. This role bridges applied aerodynamics and flight dynamics to accurately and efficiently model these vehicles. These simulations will be used to inform flight campaigns and help design control systems. Approximate salary range for this role is $95,000-$115,000 commensurate with education and experience. ## **Key Responsibilities:** * Perform computational fluid dynamics simulations for complex eVTOL vehicles operating across multiple flight regimes (hover, transition, and forward flight). * Develop comprehensive aeropropulsive models to accurately predict forces and moments as functions of many aircraft states and control settings across the full flight envelope. * Generate computationally efficient, moderate-fidelity structured overset grids tailored for the application. Appropriate physical and modeling assumptions should be applied to ensure rapid computation while retaining sufficient accuracy. * Work collaboratively with flight dynamics subject matter experts to develop robust, automated frameworks for prescribing control effector deflections and state variables using statistically designed test matrices. * Assist Dynamics and Control teams to interpret and incorporate CFD results into flight dynamics models and flight control systems. * Analyze and interpret CFD results to provide engineering insights and document analysis methodologies, automated workflows, and results in technical reports and presentations. * Support the development and implementation of best practices for CFD simulation workflows. **Required Qualifications:** _Education_ * Master’s degree in aerospace engineering, mechanical engineering, or closely related field. A bachelor’s degree and equivalent work experience is acceptable. * Demonstrated proficiency with structured-overset grid generation and running CFD solvers. * Proficiency in scripting and process automation for robust, high-throughput simulation execution. * Experience with steady and unsteady RANS simulations, turbulence modeling, and complex flow phenomena. * Proficiency in Unix environment and high-performance computing systems. * Ability to process and visualize large datasets using relevant tools (Tecplot, ParaView, FieldView, or equivalent). * Excellent problem-solving and analytical capabilities. * Strong written and verbal communication skills. * Ability to work independently while closely collaborating with interdisciplinary teams. * Proven track record of technical documentation and reporting. ## **Desired Qualifications:** * Experience with overset grid generation tools like Chimera Grid Tools and Pegasus. * Experience running OVERFLOW for complex rotorcraft applications. * Experience with automated workflow development and parametric studies. * Publications in peer-reviewed journals or conference proceedings related to rotorcraft, eVTOL aerodynamics, or flight dynamics modeling. ## **Work Environment:** * Work will be performed in an office environment with access to high-performance computing resources. * May require occasional travel to other NASA centers, research facilities, or technical conferences. **This position requires U.S. Citizenship or Permanent Residence.** Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options. AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at [www.ama-inc.com/careers](https://www.ama-inc.com/careers) and follow us on [Facebook](https://www.facebook.com/AnalyticalMechanicsAssociatesInc) and [LinkedIn](https://www.linkedin.com/company/67029/admin/feed/posts/). AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.", "summaryDescription" : "Computational Fluid Dynamics Applications Engineer at AMA. Skills: Computational Fluid Dynamics, Aerodynamic analysis, Flight dynamics modeling, Grid generation. Perform CFD simulations for eVTOL vehicles. Develop aeropropulsive models", "postedDate" : "2026-06-09T15:59:34.904", "createdAt" : "2026-06-11T15:59:34.826", "lastUpdated" : "2026-06-13T20:49:39.491", "ingestTimestamp" : "2026-06-11T15:59:34.826", "mongoId" : "6a2a56ef74d8ee00a0609157", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://amainc.wd12.myworkdayjobs.com/AMA_Careers/job/Hampton-VA/Computational-Fluid-Dynamics-Applications-Engineer_R-100636", "salaryAnnualMin" : 95000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Computational fluid dynamics", "Aerodynamic modeling", "Aeropropulsive modeling", "Grid generation", "CFD solvers", "RANS simulations", "Turbulence modeling", "Flow phenomena", "High-performance computing", "Data visualization", "Problem-solving", "Analytical capabilities", "Computational Fluid Dynamics", "Aerodynamic analysis", "Flight dynamics modeling", "Aerodynamics", "Flight dynamics", "Control systems", "Engineering insights", "Simulation workflows", "Aerospace engineering", "Mechanical engineering", "Aeropropulsion", "eVTOL vehicles", "Rotorcraft aerodynamics", "Rotorcraft flight dynamics", "OVERFLOW", "Tecplot", "ParaView", "FieldView", "Chimera Grid Tools", "Pegasus" ], "skillCount" : 32, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 1742.4563, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a670b74d8ee00a062e333", "title" : "Senior Thermal Simulation Engineer", "company" : "Johnson Controls", "industry" : "Thermal Management", "salary" : { "min" : 105000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-14T22:22:30.494", "fingerprint" : "e061b0a5b7699c7ce38c98af0b7a8af158202990d95aed6ba28f3019723a6ca5", "source" : "workday", "language" : "en", "applyUrl" : "https://jci.wd5.myworkdayjobs.com/JCI/job/Burlington-Massachusetts-United-States-of-America/Senior-Thermal-Simulation-Engineer--onsite-_EB000753174", "externalId" : "EB000753174", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CFD", "professionalSkills" : [ "Thermal management", "Decarbonization", "Performance analysis" ], "hardSkillsList" : [ "Hand calculations", "Scaling models", "Thermo-fluid simulations", "Pressure drop prediction", "Thermal performance prediction", "Mesh refinement studies", "Model error estimation", "Dimensionless correlation extraction" ], "hardSkills" : [ { "name" : "Hand calculations", "level" : "intermediate" }, { "name" : "Scaling models", "level" : "intermediate" }, { "name" : "Thermo-fluid simulations", "level" : "intermediate" }, { "name" : "Pressure drop prediction", "level" : "intermediate" }, { "name" : "Thermal performance prediction", "level" : "intermediate" }, { "name" : "Mesh refinement studies", "level" : "intermediate" }, { "name" : "Model error estimation", "level" : "intermediate" }, { "name" : "Dimensionless correlation extraction", "level" : "intermediate" } ], "majorSkills" : "Thermal simulation, CFD analysis, Fluid dynamics", "majorSkillsList" : [ "Thermal simulation", "CFD analysis", "Fluid dynamics" ], "coreResponsibilities" : "Perform hand calculations, Select correlation coefficients, Build scaling models, Perform coupled thermo-fluid simulations, Predict pressure drop, Predict thermal performance, Provide guidance on customer projects, Develop simulation best practices, Improve simulation best practices", "teamCollaboration" : "Solutions Engineers; Thermal Design Engineers", "domainKnowledge" : "AI infrastructure; Semiconductor equipment; Power electronics; Defense systems; HPC environments; Thermal components; Cooling loop solutions; Turbulence closures", "domainList" : [ "ai-infrastructure", "semiconductor-equipment", "power-electronics", "defense-systems", "hpc-environments", "thermal-components", "cooling-loop-solutions", "turbulence-closures" ], "domainSpecificKnowledge" : [ "AI infrastructure", "Semiconductor equipment", "Power electronics", "Defense systems", "HPC environments", "Thermal components", "Cooling loop solutions", "Turbulence closures" ], "toolProficiency" : [ "CFD software" ], "continuousLearning" : "Learn alongside industry talent", "innovationCreativity" : "Redefine what's possible", "problemSolvingSkills" : "Solve complex challenges; Optimize designs", "specialRequirements" : "Onsite 4 days/week, US citizen/Permanent Resident", "outcomesObjectives" : "Meet customer requirements; Exceed customer requirements", "qualificationsBasic" : "Bachelors in Mechanical Engineering or relevant field, Experience with CFD simulation software, 7+ years thermal-fluid simulation and analysis, Experience with reference literature on thermal/fluid behavior, Ability to deliver thermal performance estimates quickly, Familiarity with design engineering process", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**About Johnson Controls** Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. Visit [ _johnsoncontrols.com_](http://www.johnsoncontrols.com/) for more information and follow @Johnsoncontrols on social platforms. **What you will do** Thermal limits are the hidden bottleneck holding back the world’s most advanced technologies—AI infrastructure, semiconductor equipment, power electronics, and mission-critical defense systems. At Johnson Controls, we don’t work around those limits—we eliminate them. Powered by our breakthrough Stack Forging™ process, we engineer high-performance thermal components and integrated cooling loop solutions designed for direct deployment into AI, HPC, and other demanding environments. The result: a best-in-class thermal management platform built for the systems that push performance to the edge—and beyond. In this role, you won’t just model performance—you’ll help redefine what’s possible. Leveraging both first-principles analysis and advanced computational tools, you’ll predict and push the limits of JCI’s cutting-edge thermal management technologies.You’ll collaborate closely with Solutions Engineers and Thermal Design Engineers to solve complex, high-stakes challenges and optimize designs that meet—and exceed—demanding customer requirements. Along the way, you’ll play a key role in shaping our simulation best practices, influencing how we scale excellence, and continuing to learn alongside some of the industry’s top simulation talent. This position requires an onsite presence 4 days a week, with an option to work remotely 1 day a week. Candidates must be commuting distance to the facility, or able to relocate. Only US citizens and/or Permanent Residents of the US will be considered, as sponsorship is not available for this position. **How you will do it** * Hand calculations, select appropriate correlation coefficients, and build simple scaling models * Perform coupled thermo-fluid simulations using CFD software to predict pressure drop and thermal performance * Provide guidance and input on customer development projects * Develop and improve best practices around simulation **What you will need Required ** * Bachelors in Mechanical Engineering, Aerospace Engineering, or other relevant field * Experience with CFD simulation software * 7+ years of experience in thermal-fluid simulation and analysis, including but not limited to comfort with selecting turbulence closures, running mesh refinement studies, estimating model error, and extracting dimensionless correlation coefficients from simulations * Experience with a wide range of reference literature on calculating thermal and fluid behavior of components * Ability to deliver results in a quickly evolving environment, delivering estimates for thermal performance of a design within a few days to accelerate customer-facing projects * Familiarity with design engineering work, specifically, an understanding of what an engineering design process looks like and how their work informs that process HIRING SALARY RANGE: $105,000 - $160,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit [EEO is the Law](https://www.johnsoncontrols.com/-/media/jci/careers/landing/eeo-is-the-law.pdf). If you are an individual with a disability and you require an accommodation during the application process, please visit [here](mailto:SpecialAccommodations@jci.com?subject=Candidate%20Accommodated%20Requested&body=Hello%2C%20%0A%0AI've%20applied%20to%20an%20opportunity%20and%20require%20an%20accommodation%20during%20the%20application%20process.).", "summaryDescription" : "Senior Thermal Simulation Engineer at Johnson Controls. Skills: Thermal simulation, CFD analysis, Fluid dynamics. Perform hand calculations. Select correlation coefficients", "postedDate" : "2026-06-11T16:28:51.608", "createdAt" : "2026-06-11T16:28:51.492", "lastUpdated" : "2026-06-14T22:22:30.494", "ingestTimestamp" : "2026-06-11T16:28:51.492", "mongoId" : "6a2a670b74d8ee00a062e333", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://jci.wd5.myworkdayjobs.com/JCI/job/Burlington-Massachusetts-United-States-of-America/Senior-Thermal-Simulation-Engineer--onsite-_EB000753174", "salaryAnnualMin" : 105000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hand calculations", "Scaling models", "Thermo-fluid simulations", "Pressure drop prediction", "Thermal performance prediction", "Mesh refinement studies", "Model error estimation", "Dimensionless correlation extraction", "Thermal simulation", "CFD analysis", "Fluid dynamics", "Thermal management", "Decarbonization", "Performance analysis", "AI infrastructure", "Semiconductor equipment", "Power electronics", "Defense systems", "HPC environments", "Thermal components", "Cooling loop solutions", "Turbulence closures", "CFD software" ], "skillCount" : 23, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 1650.591, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Thermal Management" }, { "id" : "6a2176e574d8ee00a0c1b435", "title" : "Sr. Mechanical Engineer - CFD", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:36:57.331", "fingerprint" : "8e111430926bc3e753033afe0ce0e6977f8973f13fbd762db8ee14d8d005d267", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437257/apply", "externalId" : "4c7dd105-35cf-4047-a850-5d0c003d8f6f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Global Engineering Strategy team (GES) is looking for a results-oriented, inventive Computational Fluid Dynamics (CFD) focused Sr. Mechanical Engineer to drive front end engineering CFD studies, mechanical system selection, and site design strategy for new owned and leased site developments. In this role you will perform front end site planning related work including site and building CFD modelling, building water use calculations, equipment selection, concept sketches, and more. You will develop site CFD Scopes of Work (SoW) and manage external vendors to deliver studies and reports. As the CFD subject matter expert, you will provide detailed report documents and assist in the design specifications as a part of a team which operates within multiple geographic regions, and be an integral part of our work to change the world through technology. You will work with the GES project leads to support their site design strategy, as well as other design and site planning partner/stakeholder teams on maters related to site CFD design strategy implementation. Our CFD focused Sr. Mechanical Engineers understand key problems, propose and analyze multiple solutions to produce the most energy efficient, cost effective, and rapidly scalable site designs achievable. They also provide the vision and rationale for Amazon’s data center mechanical designs to leadership, while ensuring current systems meet performance and operational standards. The Sr. Mechanical Engineer - CFD responsibilities include: • Performing CFD models on innovative new and existing site designs. • Driving process improvements across the organization. • Providing reports to senior leadership on the results of those models • Performing water efficiency use calculations to determine quantity of water needed on site. • Working with global ME teams to achieve alignment of design and CFD modeling standards • Understands the key aspects of status quo data center mechanical systems to the extent that key sources of: high capital/operational costs, reduced efficiencies, high-levels of maintenance, security issues and safety risks can be identified as improvement areas in next-generation data center designs. • Actively define, scope and participate in project & product teams focused on delivering innovations in next-generation data centers • Provide direct influence over the mechanical design and construction of new data centers and general capital endeavors • A strong understanding of business analysis and practices including Total Cost of Ownership and Return on Investment models • Work closely with hardware designers to optimize the interfaces between the IT equipment and the facility as well as understand the future trends and initiatives in IT equipment technology • Provide total CFD project management and oversight of the project scope, timeline, and budget • Record and report key metrics to team members and management • For issues that arise in data centers, drive teams to supply: root-cause analysis, quantify customer exposure, provide remediation, long-term corrective measures as well as ensuring these efforts are documented such that the issue doesn’t reoccur. Travel will occasionally be necessary but shouldn’t be more than 25%. International support will be part of the job. About the team o Why AWS o Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. o Diverse Experiences o Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. o Work/Life Balance o We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. o Inclusive Team Culture o Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. o Mentorship and Career Growth o We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree or above in Mechanical Engineering Preferred Qualifications: - Knowledge of continuously operating redundant electrical systems, cooling systems, air flow containment systems, and building management systems - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Professional Engineer License Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Sr. Mechanical Engineer - CFD at Amazon Data Services, Inc.", "postedDate" : "2026-06-13T18:10:21.452", "createdAt" : "2026-06-13T18:10:21.452", "lastUpdated" : "2026-06-15T07:36:57.331", "ingestTimestamp" : "2026-06-13T18:10:21.452", "mongoId" : "6a2176e574d8ee00a0c1b435", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437257/apply", "salaryAnnualMin" : 136600, "salaryAnnualMax" : 184800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1100.0913, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a670b74d8ee00a062e331", "title" : "Thermal Simulation Engineer", "company" : "Johnson Controls", "industry" : "Thermal Management", "salary" : { "min" : 90000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-12T20:06:18.254", "fingerprint" : "0594e8091fa940f3c813ff8a3ee7752e45d0cea8bb6346ff3557f70e24083799", "source" : "workday", "language" : "en", "applyUrl" : "https://jci.wd5.myworkdayjobs.com/JCI/job/Burlington-Massachusetts-United-States-of-America/Thermal-Simulation-Engineer--onsite-_EB000753160-1", "externalId" : "EB000753160", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Burlington", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.5048167,-71.1956111" } ], "locationText" : "Burlington, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "CFD", "professionalSkills" : [ "Thermal management", "Cooling solutions", "First-principles calculations", "Computational tools" ], "hardSkillsList" : [ "Thermo-fluid simulation", "Hand calculations", "Scaling models" ], "hardSkills" : [ { "name" : "Thermo-fluid simulation", "level" : "intermediate" }, { "name" : "Hand calculations", "level" : "intermediate" }, { "name" : "Scaling models", "level" : "intermediate" } ], "majorSkills" : "Thermal simulation, CFD analysis, Performance prediction", "majorSkillsList" : [ "Thermal simulation", "CFD analysis", "Performance prediction" ], "coreResponsibilities" : "Perform hand calculations, Select appropriate correlation coefficients, Build simple scaling models, Perform coupled thermo-fluid simulations, Predict pressure drop, Predict thermal performance, Provide guidance on projects, Input on customer projects, Develop simulation best practices, Improve simulation best practices", "teamCollaboration" : "Solutions Engineers; Thermal Design Engineers; Simulation experts", "domainKnowledge" : "Thermal limits; AI infrastructure; Semiconductor equipment; Power electronics; Defense systems; Thermal components; Cooling loop solutions; AI environments; HPC environments", "domainList" : [ "thermal-limits", "ai-infrastructure", "semiconductor-equipment", "power-electronics", "defense-systems", "thermal-components", "cooling-loop-solutions", "ai-environments", "hpc-environments" ], "domainSpecificKnowledge" : [ "Thermal limits", "AI infrastructure", "Semiconductor equipment", "Power electronics", "Defense systems", "Thermal components", "Cooling loop solutions", "AI environments", "HPC environments" ], "toolProficiency" : [ "CFD software" ], "problemSolvingSkills" : "Troubleshooting complex challenges", "specialRequirements" : "Onsite 4 days/week, US citizen, Permanent Resident", "outcomesObjectives" : "Elevate performance of technologies; Optimize designs for requirements", "qualificationsBasic" : "Bachelors in Mechanical Engineering, 3+ years of industry experience, Experience with CFD simulation software, Experience in thermal-fluid simulation and analysis, Comfort with selecting turbulence closures, Running mesh refinement studies, Estimating model error, Extracting dimensionless correlation coefficients", "qualificationsPreferred" : "Experience with Siemens SimCenter, Experience with reference literature on thermal and fluid behavior, Ability to deliver estimates quickly, Familiarity with design engineering process", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**About Johnson Controls** Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. Visit [ _johnsoncontrols.com_](http://www.johnsoncontrols.com/) for more information and follow @Johnsoncontrols on social platforms. **What you will do** Thermal limits are the hidden bottleneck holding back the world’s most advanced technologies—AI infrastructure, semiconductor equipment, power electronics, and mission-critical defense systems. At Johnson Controls, we don’t work around those limits—we eliminate them. Powered by our breakthrough Stack Forging™ process, we engineer high-performance thermal components and integrated cooling loop solutions designed for direct deployment into AI, HPC, and other demanding environments. The result: a best-in-class thermal management platform built for the systems that push performance to the edge—and beyond. Join the movement as a Builder on the Stack Forging Thermal Solutions team at Johnson Controls, as a Thermal Simulation Engineer located in Burlington, MA. In this role, you won’t just analyze performance—you’ll help unlock it. Using a blend of first-principles calculations and advanced computational tools, you’ll predict and elevate the performance of JCI’s industry-leading thermal management technologies. Working side-by-side with Solutions Engineers and Thermal Design Engineers, you’ll tackle complex challenges and optimize designs to meet some of the most demanding customer requirements in the industry. You’ll also play a key role in strengthening and evolving our simulation best practices, while learning from and collaborating with a team of top-tier simulation experts. You bring precision, curiosity, and a drive to get it right. You thrive on turning new and complex designs into accurate, actionable insights. With experience in coupled thermo-fluid simulations, you know how to translate detailed analysis into clear, impactful results for engineering teams. Comfortable navigating across projects, technologies, and functions, you’re at your best when collaborating in a fast-moving, cross-functional environment. This position requires an onsite presence 4 days a week, with an option to work remotely 1 day a week. Candidates must be commuting distance to the facility, or able to relocate. Only US citizens and/or Permanent Residents of the US will be considered, as sponsorship is not available for this position. **How you will do it** * Do hand calculations, select appropriate correlation coefficients, and build simple scaling models * Perform coupled thermo-fluid simulations using CFD software to predict pressure drop and thermal performance * Provide guidance and input on customer development projects * Develop and improve best practices around simulation **What you will need Required ** * Bachelors in Mechanical Engineering, Aerospace Engineering, or other relevant field * 3+ years of industry experience * Experience with CFD simulation software * Experience in thermal-fluid simulation and analysis, including but not limited to comfort with selecting turbulence closures, running mesh refinement studies, estimating model error, and extracting dimensionless correlation coefficients from simulations **Preferred** * Experience with Siemens SimCenter * Experience with a wide range of reference literature on calculating thermal and fluid behavior of components * Ability to deliver results in a quickly evolving environment, delivering estimates for thermal performance of a design within a few days to accelerate customer-facing projects * Familiarity with design engineering work, specifically, an understanding of what an engineering design process looks like and how their work informs that process HIRING SALARY RANGE: $90,000 - $130,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit [EEO is the Law](https://www.johnsoncontrols.com/-/media/jci/careers/landing/eeo-is-the-law.pdf). If you are an individual with a disability and you require an accommodation during the application process, please visit [here](mailto:SpecialAccommodations@jci.com?subject=Candidate%20Accommodated%20Requested&body=Hello%2C%20%0A%0AI've%20applied%20to%20an%20opportunity%20and%20require%20an%20accommodation%20during%20the%20application%20process.).", "summaryDescription" : "Thermal Simulation Engineer at Johnson Controls. Skills: Thermal simulation, CFD analysis, Performance prediction. Perform hand calculations. 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Robotics; Manufacturing engineering; Assembly systems; Industrial engineering; Safety; Ergonomics", "domainList" : [ "automotive-industry", "robotics", "manufacturing-engineering", "assembly-systems", "industrial-engineering", "safety", "ergonomics" ], "domainSpecificKnowledge" : [ "Automotive industry", "Robotics", "Manufacturing engineering", "Assembly systems", "Industrial engineering", "Safety", "Ergonomics" ], "toolProficiency" : [ "DELMIA V5", "3DEXPERIENCE", "Process Simulate", "MicroStation", "Siemens NX", "MS Office" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Documentation", "innovationCreativity" : "Idea generation", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "3-5 years experience, Robotics Simulation experience, Manufacturing Engineering experience, Automotive industry experience, DELMIA V5 expertise, 3DEXPERIENCE expertise, Process Simulate expertise, Robotic process simulation knowledge, Automotive assembly systems knowledge, MicroStation experience, Siemens NX experience, Assembly equipment design experience, Assembly equipment installation experience, Assembly equipment commissioning experience, Process planning exposure, Documentation exposure, Issue resolution exposure, Industrial engineering knowledge, Safety knowledge, Ergonomics knowledge, English proficiency", "qualificationsPreferred" : "Pre-engineering experience, Layout planning experience, Cycle time optimization experience, Jig and fixture design exposure, Research-oriented mindset, Idea generation skills, Virtual validation experience, Global automotive project environments familiarity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Conduct robotic process simulations and concept validation using DELMIA V5 • Build and validate simulation cells, ensuring feasibility and reachability • Perform cycle time analysis and prepare detailed reports • Execute dynamic and static clearance analysis studies • Validate assembly processes in workcells and stations • Collaborate with stakeholders for seamless project execution • Develop 3D layouts using MicroStation and support equipment concept design • Recommend process improvements and cost reduction initiatives • Perform offline programming, configure RCS (RRS), and generate program downloads • Conduct quality checks and reviews in line with simulation standards Required Skills and Experience: • 3–5 years of experience in Robotics Simulation / Manufacturing Engineering in the automotive industry • Strong expertise in digital manufacturing tools (DELMIA V5, 3DEXPERIENCE, Process Simulate) • Knowledge of robotic process simulation and automotive assembly systems • Experience with tools such as MicroStation and Siemens NX • Hands-on experience in assembly equipment design, installation, and commissioning • Exposure to process planning, documentation, and issue resolution • Strong analytical, problem-solving, and project management skills • Knowledge of industrial engineering, safety, and ergonomics • Excellent communication skills and teamwork orientation • Proficiency in English (German is an added advantage) • Good working knowledge of MS Office Educational Qualifications: • Bachelor’s degree (B.E./B.Tech) in Mechanical / Production / Industrial Engineering Preferred Qualifications (Good to Have): • Experience in pre-engineering, layout planning, and cycle time optimization • Exposure to jig and fixture design • Research-oriented mindset with strong idea generation skills • Experience in virtual validation of plant tools and equipment • Familiarity with global automotive project environments Why Join Us? • Be part of a purpose-driven organization that’s shaping the future of mobility. • Work on cutting-edge technologies and global projects. • Thrive in a collaborative, diverse, and inclusive environment. • Access world-class infrastructure and learning opportunities. 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Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. We are looking for simulation engineers interested in designing elegant solutions to difficult problems in the autonomy and mobility space. Simulation Application Engineers work with external and internal users to develop VehicleSim and ADP based applications and models. Our engineers source valuable feedback from users to effectively drive and influence product direction. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied, you will: - Develop new applications that can be used and then modified by automotive customers to improve their simulations - Collaborate closely with our automotive customers to provide technical support and collect data for new feature development - Create thorough documentation for new and existing software applications - Test and provide feedback for new versions of our software - Work closely with cross functional team to develop and conduct customer training remotely and onsite We're looking for someone who has: - A MS in Mechanical Engineering or a BS with relevant industry experience - 5+ years of hands on experience in the automotive industry - Experience using simulation software such as CarSim, Simulink, CarMaker, Adams, or similar tools - Evaluated vehicle dynamics behavior at the system level such as response to driver controls - Experience evaluating Advanced Driver Assistance Systems at the system level - Familiarity using AI tooling to accelerate development safely Nice to have: - Familiarity or experience using our products (CarSim, BikeSim, TruckSim, and SuspensionSim) - Experience creating new projects (steering, braking, or other AV/ADAS enabling controllers) using our products and MATLAB/Simulink. - Ability to program as needed to support automation and integration of multiple software tools - Worked with automotive driving simulators and real-time simulation systems such as DSPACE, Concurrent, NI, and VI-Grade. - Experience with Unreal Game Engine Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Simulation Engineer at Applied Intuition. Skills: Software Engineering, Distributed Systems, Scalability. Design and implement scalable software systems. 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Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team The Lethality Modeling DOE, DoD, NNSA, or classified computing experience strongly preferred Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment Experience with Slurm or comparable HPC scheduling and cluster management tools Experience developing tools that improve analyst, researcher, or engineering productivity US Salary Range $132,000—$198,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "HPC Systems Engineer, Modeling & Simulation at Anduril Industries. Skills: HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology. Develop tools that improve analyst, researcher, or engineering productivity.", "postedDate" : "2026-06-14T20:01:04.151", "createdAt" : "2026-06-14T20:01:04.151", "lastUpdated" : "2026-06-15T09:42:53.742", "ingestTimestamp" : "2026-06-14T20:01:04.151", "mongoId" : "6a2c6bcf74d8ee00a0914cbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Slurm", "HPC scheduling", "cluster management", "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology", "DOE, DoD, NNSA, or classified computing experience strongly preferred." ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 976.7546, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950cbb", "title" : "SI Simulation Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior SI Simulation Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-16T05:39:23.593", "fingerprint" : "5578abfb09286b801e7436ab9d0efa6650418fbf3bcdf8835f8538b06acd531b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4251914009", "externalId" : "4251914009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "DDR4, DDR5, PCIe Gen3, PCIe Gen4, PCIe Gen5, 100G Ethernet, 400G Ethernet, 800G Ethernet, IBIS-AMI", "professionalSkills" : [ "Channel design", "Design recommendations" ], "hardSkillsList" : [ "Signal integrity simulation", "PCB channel design", "Channel modeling", "Loss analysis", "Impedance analysis", "Crosstalk analysis", "Jitter analysis", "Eye diagram analysis", "BER performance analysis", "Layout guidelines", "Routing constraints", "Simulation-to-measurement correlation", "Lab validation", "Debugging" ], "hardSkills" : [ { "name" : "Signal integrity simulation", "level" : "intermediate" }, { "name" : "PCB channel design", "level" : "intermediate" }, { "name" : "Channel modeling", "level" : "intermediate" }, { "name" : "Loss analysis", "level" : "intermediate" }, { "name" : "Impedance analysis", "level" : "intermediate" }, { "name" : "Crosstalk analysis", "level" : "intermediate" }, { "name" : "Jitter analysis", "level" : "intermediate" }, { "name" : "Eye diagram analysis", "level" : "intermediate" }, { "name" : "BER performance analysis", "level" : "intermediate" }, { "name" : "Layout guidelines", "level" : "intermediate" }, { "name" : "Routing constraints", "level" : "intermediate" }, { "name" : "Simulation-to-measurement correlation", "level" : "intermediate" }, { "name" : "Lab validation", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "coreResponsibilities" : "Perform pre-layout simulation, Perform post-layout simulation, Evaluate channel loss, Evaluate PCB material, Evaluate stack-up, Evaluate IC placement, Evaluate routing constraints, Build channel models, Analyze channel models, Optimize channel structures, Analyze insertion loss, Analyze return loss, Analyze crosstalk, Analyze impedance discontinuity, Analyze jitter, Analyze eye diagram, Analyze BER performance, Define PCB layout guidelines, Define routing constraints, Work with EE teams, Work with layout teams, Work with mechanical teams, Work with vendor teams, Work with validation teams, Review designs, Resolve SI issues, Support simulation-to-measurement correlation", "domainKnowledge" : "High-speed interfaces; High-speed channel behavior; PCB materials; Dk/Df; Copper roughness; Glass weave effects; IBIS-AMI models; S-parameters; Equalization tuning; Channel operating margin analysis", "domainList" : [ "high-speed-interfaces", "high-speed-channel-behavior", "pcb-materials", "dk-df", "copper-roughness", "glass-weave-effects", "ibis-ami-models", "s-parameters", "equalization-tuning", "channel-operating-margin-analysis" ], "domainSpecificKnowledge" : [ "High-speed interfaces", "High-speed channel behavior", "PCB materials", "Dk/Df", "Copper roughness", "Glass weave effects", "IBIS-AMI models", "S-parameters", "Equalization tuning", "Channel operating margin analysis" ], "toolProficiency" : [ "Ansys HFSS", "Ansys SIwave", "Ansys Q3D", "Ansys AEDT", "VNA", "TDR", "Oscilloscope", "BERT", "Compliance test" ], "qualificationsBasic" : "Bachelor's degree or above, 5+ years experience, High-speed signal integrity simulation, PCB channel design, Ansys simulation tools, Familiar with high-speed interfaces, DDR4, DDR5, PCIe up to Gen5, 100G / 400G / 800G Ethernet, Understanding of high-speed channel behavior, Insertion loss, Return loss, Crosstalk, Impedance discontinuity, Jitter, Eye diagram, BER, Define practical PCB routing constraints, Provide design recommendations", "qualificationsPreferred" : "Experience with 25G SerDes, Experience with 56G SerDes, Experience with 112G SerDes, 25G / 56G / 112G SerDes channel design, Experience with switch products, Experience with router products, Experience with server products, Experience with NIC products, Experience with AI server products, Experience with high-speed backplane products, Knowledge of low-loss PCB materials, Knowledge of Dk/Df, Knowledge of copper roughness, Knowledge of glass weave effects, Familiar with IBIS-AMI models, Familiar with S-parameters, Familiar with equalization tuning, Familiar with channel operating margin analysis, Experience creating SI simulation reports, Experience creating layout guidelines, Experience creating design checklists, Experience supporting lab validation, Experience debugging SI-related issues", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Perform pre-layout and post-layout signal integrity simulation for high-speed interfaces, including DDR4/DDR5, PCIe Gen3–Gen5, and 100G/400G/800G Ethernet. Evaluate channel loss, PCB material, stack-up, IC placement, and routing constraints during the early design stage. Build and analyze end-to-end channel models, including PCB traces, vias, connectors, cables, packages, and IC models. Optimize high-speed channel structures, including vias, anti-pads, connector launches, cables, and routing topology. Analyze insertion loss, return loss, crosstalk, impedance discontinuity, jitter, eye diagram, and BER performance. Define PCB layout guidelines and routing constraints for high-speed interfaces. Work with EE, layout, mechanical, vendor, and validation teams to review designs and resolve SI issues. Support simulation-to-measurement correlation using VNA, TDR, oscilloscope, BERT, or compliance test results. Qualifications Bachelor’s degree or above in Electrical Engineering, Electronics Engineering, or a related field. 5+ years of experience in high-speed signal integrity simulation and PCB channel design. Hands-on experience with Ansys simulation tools, such as HFSS, SIwave, Q3D, or AEDT. Familiar with high-speed interfaces, including: DDR4,DDR5 PCIe up to Gen5 IEEE 802.3by / 802.3bm / 802.3bs / 802.3cd,100G / 400G / 800G Ethernet Strong understanding of high-speed channel behavior, including insertion loss, return loss, crosstalk, impedance discontinuity, jitter, eye diagram, and BER. Ability to define practical PCB routing constraints and provide design recommendations. Preferred Qualifications Experience with 25G / 56G / 112G SerDes channel design. Experience with switch, router, server, NIC, AI server, or high-speed backplane products. Knowledge of low-loss PCB materials, Dk/Df, copper roughness, and glass weave effects. Familiar with IBIS-AMI models, S-parameters, equalization tuning, and channel operating margin analysis. Experience creating SI simulation reports, layout guidelines, and design checklists. Experience supporting lab validation and debugging SI-related issues.", "summaryDescription" : "SI Simulation Engineer at Ubiquiti. Perform pre-layout simulation. Perform post-layout simulation", "postedDate" : "2026-06-14T19:19:58.396", "createdAt" : "2026-06-14T19:19:58.396", "lastUpdated" : "2026-06-16T05:39:23.593", "ingestTimestamp" : "2026-06-14T19:19:58.396", "mongoId" : "6a2c7dc574d8ee00a0950cbb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Signal integrity simulation", "PCB channel design", "Channel modeling", "Loss analysis", "Impedance analysis", "Crosstalk analysis", "Jitter analysis", "Eye diagram analysis", "BER performance analysis", "Layout guidelines", "Routing constraints", "Simulation-to-measurement correlation", "Lab validation", "Debugging", "Channel design", "Design recommendations", "High-speed interfaces", "High-speed channel behavior", "PCB materials", "Dk/Df", "Copper roughness", "Glass weave effects", "IBIS-AMI models", "S-parameters", "Equalization tuning", "Channel operating margin analysis", "Ansys HFSS", "Ansys SIwave", "Ansys Q3D", "Ansys AEDT", "VNA", "TDR", "Oscilloscope", "BERT", "Compliance test" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 965.612, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ae774d8ee00a0947533", "title" : "Battery Simulation Engineer", "company" : "Gotion, Inc.", "salary" : { "min" : 100000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Fremont, California, United States", "locations" : [ "Fremont", "California", "United States" ], "timestamp" : "2026-06-16T04:37:34.703", "fingerprint" : "7965fb784d73421ceaa39bb97f0f04404d0868056cb633212564d67896c00a6f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/7049541002", "externalId" : "7049541002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fremont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5482697,-121.9885710" } ], "locationText" : "Fremont, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's Degree", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. As a Battery Cell Engineer at Gotion Inc, you will play a pivotal role in leading the engineering decisions for new battery cell designs in collaboration with US OEM customers and our internal cell team. This position requires a deep understanding of cell technology and a strong background in engineering project leadership. Essential Duties and Responsibilities: Collaborate with US OEM customers and the internal cell team to drive new cell designs from concept to mass production. Work in partnership with internal teams to define performance criteria for cell designs, including electrochemical, mechanical, and safety requirements. Negotiate requirements and final product specifications directly with US OEM customers. Develop and implement test plans for validating new cell designs, analyzing and addressing failure modes. Synthesize test results into program level impacts and regularly report to leadership. Required Qualifications: Master's Degree in a related technical discipline, PhD preferred. At least 3 years of experience in hardware development, with roles available for more experienced candidates. Strong foundation in engineering principles and a history of applying this knowledge to solve complex problems. Proven success in working with cross-functional engineering and manufacturing teams. Experience in lithium-ion cell design, cell qualification, cell manufacturing, and project management is advantageous. Quarterly overseas travel expected. Excellent communication skills, both verbal and written. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $100,000—$180,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Battery Simulation Engineer at Gotion, Inc.", "postedDate" : "2026-06-14T20:10:57.429", "createdAt" : "2026-06-14T20:10:57.429", "lastUpdated" : "2026-06-16T04:37:34.703", "ingestTimestamp" : "2026-06-14T20:10:57.429", "mongoId" : "6a2c7ae774d8ee00a0947533", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 956.0947, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca66574d8ee00a09bb21f", "title" : "Simulation Engineer I", "company" : "Inversion", "salary" : { "min" : 71000.0, "max" : 124000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-16T03:07:22.803", "fingerprint" : "d97df63378303b524c992ba2e9cc9a76e0f1e1ade3526c7122d77f457855a673", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inversionspace/jobs/4705496005", "externalId" : "4705496005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U. S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As a Simulation Engineer at Inversion, you will focus on developing, automating, and maintaining the simulation and testing environments that validate our flight systems. You will play a key role in bridging the gap between GNC, Software, and Simulation teams, specifically supporting the pipeline that translates MATLAB-based GNC algorithms into autocoded C/C++ flight software. Working under the guidance of senior simulation engineers, you will build tools and workflows that enable fast, repeatable verification of flight software and hardware under realistic flight conditions using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments. Key Responsibilities Develop, test, and maintain simulation models for spacecraft subsystems, environmental dynamics, and hardware interfaces. Support the execution, automation, and scaling of Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing runs. Write and optimize data-processing pipelines and visualization scripts to analyze simulation outputs and verify vehicle-level requirements. Integrate internal guidance, navigation, and control (GNC) algorithms, aerodynamic databases, and sensor models into the core simulation platform. Develop and run automated unit tests, integration tests, and regression suites to ensure simulation platform stability. Maintain and troubleshoot simulation backend infrastructure, high-performance computing (HPC) nodes, and physical testbeds. Document simulation setups, API interfaces, and user guides to empower product engineering teams to run self-service simulation workflows. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent technical experience. Typically 1+ years of internship, academic research, or professional experience developing software, physics-based simulations, or numerical models. Proficiency in programming languages such as C++ or Python in a Linux environment. Strong foundational understanding of physics, classical mechanics, dynamics, and numerical analysis. Familiarity with standard software development practices, including version control (Git). Excellent verbal and written communication skills with a strong motivation to learn and take on technical ownership of complex codebases. Desired Qualifications Familiarity with aerospace simulation tools, physics engines, or numerical frameworks (such as MATLAB/Simulink, ROS/ROS2, or custom C++ engines). Familiarity with continuous integration (CI/CD) pipelines, containerization (Docker), and cloud or HPC infrastructure. Familiarity with hardware-in-the-loop (HIL) testing, processors-in-the-loop (PIL), or interfacing hardware with software simulations. Demonstrated technical execution through collegiate engineering teams (such as Formula SAE, rocket clubs, or robotics design groups). Prior internship experience in a fast-paced aerospace, robotics, or high-tech startup environment. Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $71,000 - $124,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity: Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Notice for further details.", "summaryDescription" : "Simulation Engineer I at Inversion", "postedDate" : "2026-06-14T18:37:32.114", "createdAt" : "2026-06-14T18:37:32.114", "lastUpdated" : "2026-06-16T03:07:22.803", "ingestTimestamp" : "2026-06-14T18:37:32.114", "mongoId" : "6a2ca66574d8ee00a09bb21f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 71000, "salaryAnnualMax" : 124000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 944.27, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "69fd34af4c40e2acd1b2f452", "title" : "Simulation Integration Engineer", "company" : "Amentum", "industry" : "Government", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Simulation Integration Engineer in Huntsville, United States, adjusted for industry and company size." }, "location" : "United States-Alabama-Huntsville", "locations" : [ "United States-Alabama-Huntsville" ], "timestamp" : "2026-06-15T08:08:41.124", "fingerprint" : "9d319c7def139f90f048d510ee17a615a2ce7f9671706a9ece2f669ffb06a53a", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324798", "externalId" : "324798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntsville", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.7298470,-86.5859011" } ], "locationText" : "Huntsville, Alabama, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Java, XML, Object-oriented development", "professionalSkills" : [ "Engineering assessments", "Technical reviews", "Stakeholder coordination", "Discrepancy resolution", "Systems engineering", "Agile methods" ], "hardSkillsList" : [ "Hardware/software integration", "Flight software", "Avionics architectures", "RF communications", "Spacecraft Ethernet", "Embedded systems", "Electronics", "Instrumentation", "Avionics control systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Hardware/software integration", "level" : "intermediate" }, { "name" : "Flight software", "level" : "intermediate" }, { "name" : "Avionics architectures", "level" : "intermediate" }, { "name" : "RF communications", "level" : "intermediate" }, { "name" : "Spacecraft Ethernet", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Electronics", "level" : "intermediate" }, { "name" : "Instrumentation", "level" : "intermediate" }, { "name" : "Avionics control systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Simulation integration, Hardware emulation, Flight software testing, Systems engineering", "majorSkillsList" : [ "Simulation integration", "Hardware emulation", "Flight software testing", "Systems engineering" ], "coreResponsibilities" : "Lead hardware/software integration, Support hardware/software integration, Conduct engineering assessments, Oversee emulator/simulator development, Define emulator capability, Oversee pre-ship checkout, Oversee acceptance documentation, Act as SME across technical reviews, Coordinate with stakeholders, Support integration of emulators, Support troubleshooting of emulators, Support deployment of emulators, Participate in reviews, Participate in interchange meetings, Participate in working groups, Participate in software life-cycle activities, Provide status to leadership, Identify risks, Work proactively with minimal oversight", "teamCollaboration" : "Cross-program testing; Multidisciplinary technical coordination", "projectManagementSkills" : [ "Agile methods" ], "domainKnowledge" : "Human Landing System; Spaceflight; Avionics architectures; Flight software; RF communications; Spacecraft Ethernet; Real-time embedded systems; Systems engineering; Closed-loop avionics control systems", "domainList" : [ "human-landing-system", "spaceflight", "avionics-architectures", "flight-software", "rf-communications", "spacecraft-ethernet", "real-time-embedded-systems", "systems-engineering", "closed-loop-avionics-control-systems" ], "domainSpecificKnowledge" : [ "Human Landing System", "Spaceflight", "Avionics architectures", "Flight software", "RF communications", "Spacecraft Ethernet", "Real-time embedded systems", "Systems engineering", "Closed-loop avionics control systems" ], "toolProficiency" : [ "HLA" ], "communicationSkills" : "Clear communication; Concise communication; Accurate communication; Timely communication; Verbal communication; Written communication; Professional interaction", "documentationSkills" : "Acceptance documentation; Non-conformance documentation", "continuousLearning" : "Professional development; Leadership development; Education reimbursement; Mentoring; Networking events", "problemSolvingSkills" : "Discrepancy resolution; Troubleshooting", "specialRequirements" : "Requires travel, Work at computer, Sitting for extended periods, Use stairs or elevators, Operate personal computer, Minimal overtime, Proof of U.S. Citizenship", "qualificationsBasic" : "Bachelor's degree or higher, Minimum 10 years experience SIM-to-SIM integration, Minimum 10 years experience software end-to-end testing, Experience supporting NASA space programs, Background in simulator design, Ability to work on-site, US Citizen", "qualificationsPreferred" : "Experience developing procedures, Familiarity with C, C++, Java, Familiarity with scripting languages, Familiarity with XML, Familiarity with object-oriented development, Working knowledge of NASA NPR 7150.2, Working knowledge of real-time embedded systems, Working knowledge of systems engineering, Working knowledge of Agile methods, Working knowledge of electronics, Working knowledge of instrumentation, Working knowledge of closed-loop avionics control systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Description Create Your Career: Grow With Us Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like Team Lead Academy, education reimbursement, mentoring, and company sponsored networking events, you can take control of your own career path on your own terms with a company that believes in you. A Place Where You Belong People are at the heart of our business. We reflect a diversity of cultures, backgrounds, and experiences. We expect our people, clients, and partners to treat one another with dignity and respect. This means promoting inclusion, celebrating diversity, and appreciating the differences we all bring to our workplace. Support Your Well-Being Our comprehensive benefits package includes wellness programs, 11 paid holidays, paid time off, employee perks and much more. With these benefits, plus the option for flexible schedules, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. Our team is comprised of 10 companies working together on one mission, Moon to Mars and then beyond Senior Simulation Integration Engineer Join Amentum Space Exploration Division as a Simulation Integration Engineer and play a pivotal role in the cutting-edge Human Landing System (HLS) program at Marshall Space Flight Center! Step into an environment where innovation meets exploration, as you spearhead the development, integration, and management of advanced software simulations and hardware emulations. Your work will be at the heart of HLS cross-program testing—directly contributing to the missions that are shaping the future of human spaceflight. Be part of the team making history! Key Responsibilities: Lead and support hardware/software integration efforts for HLS. Conduct independent engineering assessments of flight software from requirements through operations. Serve as Emulator/Simulator Lead, overseeing development, capability definition, pre‑ship checkout, and acceptance documentation. Act as SME across technical reviews (PSRs, TRRs) and coordinate with stakeholders on design, integration, testing, delivery, and discrepancy resolution. Support integration, troubleshooting, and deployment of emulators/simulators across facilities. Participate in internal/external reviews, technical interchange meetings, working groups, and software life‑cycle activities. Provide regular status to leadership, identify risks, and work proactively with minimal oversight. Required Skills & Experience: Bachelor’s degree or higher in Mechanical Engineering, Aerospace Engineering, or related field. Minimum 10 years of experience in cross‑program SIM‑to‑SIM integration and testing, including HWIL and HLA. Minimum 10 years of experience in software end‑to‑end testing and HWIL testing for avionics and software systems. Experience supporting NASA space programs. Strong background in simulator/emulator design, development, and use for integration and V&V. Knowledge of avionics architectures, flight software, requirements development, RF communications, and spacecraft Ethernet implementations. Experience developing procedures, specifications, and non‑conformance documentation. Familiarity with C, C++, Java, scripting languages, XML, and object‑oriented development. Strong communication skills for multidisciplinary technical coordination. Working knowledge of NASA NPR 7150.2, real‑time embedded systems, systems engineering, Agile methods, electronics, instrumentation, and closed‑loop avionics control systems. Ability to work on‑site at Marshall Space Flight Center. Must be a US Citizen Essential Functions Work Environment: Office environment. Requires ability to provide clear, concise, accurate and timely communication, both verbally and in writing (100%). Requires ability to interact professionally with co-workers, management, and client (100%). Requires travel in the domestic USA (5%). Requires ability to work at a computer for long periods of time (100%). Physical Requirements: Requires sitting for extended periods of time in meetings with peers, management, and with our client at NASA facilities to discuss technical issues (10%). Also, requires sitting for extended periods of time at a desk to write reports and perform engineering tasks (80%). Requires ability to use stairs or elevators for access between floors and multiple buildings at NASA and our facilities (10%). Equipment and Machines: Requires ability to operate a personal computer, a telephone, fax machine, copier, calculator, and other general office equipment (100%). Attendance: Normal workday 7:30-4:30, Monday thru Friday. Minimal overtime may be required (10%) to meet schedule milestones and to support technical demands of the job. Regular attendance is a necessity, and adequate arrangements for delegating duties during absences are required. Other Essential Functions: The ability to work independently with minimal supervision, and to make rational decisions, and to exercise good judgment is essential (100%). Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. Proof of U.S. Citizenship is required. #ESSCA #ASED United States-Alabama-Huntsville-20320-MSFC", "summaryDescription" : "Simulation Integration Engineer at Amentum. Skills: Simulation integration, Hardware emulation, Flight software testing, Systems engineering. Lead hardware/software integration. Support hardware/software integration", "createdAt" : "2026-06-14T01:48:09.567", "lastUpdated" : "2026-06-15T08:08:41.124", "ingestTimestamp" : "2026-06-14T01:48:09.567", "mongoId" : "69fd34af4c40e2acd1b2f452", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hardware/software integration", "Flight software", "Avionics architectures", "RF communications", "Spacecraft Ethernet", "Embedded systems", "Electronics", "Instrumentation", "Avionics control systems", "Leadership", "Simulation integration", "Hardware emulation", "Flight software testing", "Systems engineering", "Engineering assessments", "Technical reviews", "Stakeholder coordination", "Discrepancy resolution", "Agile methods", "Human Landing System", "Spaceflight", "Real-time embedded systems", "Closed-loop avionics control systems", "HLA" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 934.9192, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176e474d8ee00a0c1b3e2", "title" : "Process Simulation Engineer", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, Product Design, operations", "salary" : { "min" : 124000.0, "max" : 167900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Westborough, Massachusetts, USA", "locations" : [ "Westborough, Massachusetts, USA" ], "timestamp" : "2026-06-15T04:22:09.565", "fingerprint" : "468bd5bedf34ef9725ba77c1ab33d47246b33e2a4aea175ed7cd11606a9da6e1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437345/apply", "externalId" : "fc83c840-f85c-4b4b-8505-a9ad9288764b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westborough", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2694308,-71.6129907" } ], "locationText" : "Westborough, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "3D CAD, Process simulation", "professionalSkills" : [ "Assembly process planning", "DfA", "DfM", "Manufacturing engineering", "Dimensional Variation Analysis", "Tolerance chain modeling", "Ergonomics assessment" ], "hardSkillsList" : [ "Physics-based simulations", "Rigid body kinematics", "Spatial fit analysis", "Tool accessibility analysis", "Assembly feasibility", "Ergonomics analysis", "3D scanning", "Point cloud data", "GD&T", "Tolerance analysis" ], "hardSkills" : [ { "name" : "Physics-based simulations", "level" : "intermediate" }, { "name" : "Rigid body kinematics", "level" : "intermediate" }, { "name" : "Spatial fit analysis", "level" : "intermediate" }, { "name" : "Tool accessibility analysis", "level" : "intermediate" }, { "name" : "Assembly feasibility", "level" : "intermediate" }, { "name" : "Ergonomics analysis", "level" : "intermediate" }, { "name" : "3D scanning", "level" : "intermediate" }, { "name" : "Point cloud data", "level" : "intermediate" }, { "name" : "GD&T", "level" : "intermediate" }, { "name" : "Tolerance analysis", "level" : "intermediate" } ], "majorSkills" : "Process simulation, Assembly simulation, DfD feedback", "majorSkillsList" : [ "Process simulation", "Assembly simulation", "DfD feedback" ], "coreResponsibilities" : "Build physics-based simulations, Model rigid body kinematics, Analyze force and load distributions, Verify mechanical interfaces, Provide data-driven feedback, Build and execute assembly simulations, Evaluate installation sequences, Evaluate tool clearance, Evaluate material movement paths, Evaluate assembly feasibility, Develop scalable simulation workflows, Develop simulation templates, Review hardware CAD models, Provide DfD feedback, Build 3D library of tools, Maintain 3D library of tools, Integrate building envelope data, Support Dimensional Variation Analysis efforts, Provide simulation inputs, Collaborate on tolerance chain modeling, Establish DfD as core accountability, Design field experiments, Execute field experiments, Characterize construction tolerances, Translate findings into design guidelines", "teamCollaboration" : "Reality Capture engineers; Systems engineering team; Hardware teams; Tech Deploy teams; Manufacturing teams", "domainKnowledge" : "Amazon Robotics products; Robotic workcells; Automated fulfillment systems; Hardware design; Deployment engineering; Manufacturing engineering; Field engineering; Automated systems; Robotic systems", "domainList" : [ "amazon-robotics-products", "robotic-workcells", "automated-fulfillment-systems", "hardware-design", "deployment-engineering", "manufacturing-engineering", "field-engineering", "automated-systems", "robotic-systems" ], "domainSpecificKnowledge" : [ "Amazon Robotics products", "Robotic workcells", "Automated fulfillment systems", "Hardware design", "Deployment engineering", "Manufacturing engineering", "Field engineering", "Automated systems", "Robotic systems" ], "toolProficiency" : [ "Tecnomatix Process Simulate", "SolidWorks simulation", "Leica RTC360", "NavVis" ], "innovationCreativity" : "Building new capability; Founding engineer", "problemSolvingSkills" : "Spatial fit analysis; Tool accessibility analysis; Assembly feasibility analysis; Ergonomics analysis; Tolerance analysis", "outcomesObjectives" : "Influence hardware design decisions; Shift deployment engineering proactive", "qualificationsBasic" : "4+ years mechanical engineering, Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or equivalent, Experience in 3D CAD, Experience with assembly process planning, DfA/DfM, or manufacturing engineering, 2+ years experience using process simulation tools", "qualificationsPreferred" : "Knowledge of SolidWorks simulation, Knowledge of Ansys Finite Element analysis tools, Experience in design of complex mechanical products and equipment at volume, Familiarity with 3D scanning / point cloud data, Experience in deployment, installation, or field engineering for automated/robotic systems, Understanding of GD&T, Understanding of tolerance analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Tech Transformation is building a new capability to evaluate the deployability of Amazon Robotics products virtually — before the first physical prototype is built. This role is the founding engineer for that capability. You will use Tecnomatix Process Simulate to build physics-based simulations of field installation processes: modeling rigid body kinematics to validate assembly sequences, analyzing force and load distributions during lifting and rigging operations, and verifying that mechanical interfaces achieve required fits under real-world tolerance conditions. Your work will directly influence hardware design decisions by providing data-driven feedback on spatial fit, tool accessibility, assembly feasibility, and ergonomics — shifting deployment engineering from reactive to proactive. Key job responsibilities - Build and execute assembly simulations of robotic workcells using Tecnomatix Process Simulate to evaluate installation sequences, tool clearance, material movement paths, and assembly feasibility - Develop scalable simulation workflows and templates for DfD reviews across multiple product programs - Review hardware CAD models against deployment requirements, providing actionable DfD feedback at Prototype and Alpha phases - Build and maintain a 3D library of common deployment tools (alignment tools, impact drills, rigging equipment, forklifts) with spatial operating envelopes for automated accessibility analysis - Collaborate with Reality Capture engineers to integrate building envelope data (VRC dimensions, MHE clearance, floor flatness, column positions) into deployment simulations - Support Dimensional Variation Analysis (DVA) efforts by providing simulation inputs and collaborating with the systems engineering team on tolerance chain modeling - Partner with Hardware, Tech Deploy, and Manufacturing teams to establish DfD as a core accountability within TfX - Design and execute field experiments to characterize construction tolerances (floor flatness, drilling accuracy, MHE as-built accuracy) and translate findings into design guidelines for Hardware About the team Tech Transformation (TfX) is part of the Global Engineering organization within Amazon Robotics. We enable the deployment of robotic solutions into Amazon's fulfillment network, working across a range of technologies from autonomous mobile robots to robotic workcells and automated fulfillment systems. Basic Qualifications: - 4+ years of working in mechanical engineering or equivalent experience - Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field - Experience in 3D CAD - Experience with assembly process planning, DfA/DfM, or manufacturing engineering - 2+ years of experience using process simulation tools (Tecnomatix Process Simulate or equivalent) Preferred Qualifications: - Knowledge of SolidWorks simulation or Ansys Finite Element analysis tools - Experience in the design of complex mechanical products and equipment at volume - Familiarity with 3D scanning / point cloud data (Leica RTC360, NavVis, or similar) - Experience in deployment, installation, or field engineering for automated/robotic systems - Understanding of GD&T and tolerance analysis - Experience with ergonomic assessment tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Westborough - 124,100.00 - 167,900.00 USD annually", "summaryDescription" : "Process Simulation Engineer at Amazon.com Services LLC. Skills: Process simulation, Assembly simulation, DfD feedback. Build physics-based simulations. Model rigid body kinematics", "postedDate" : "2026-06-13T10:43:18.846", "createdAt" : "2026-06-13T10:43:18.846", "lastUpdated" : "2026-06-15T04:22:09.565", "ingestTimestamp" : "2026-06-13T10:43:18.846", "mongoId" : "6a2176e474d8ee00a0c1b3e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437345/apply", "salaryAnnualMin" : 124000, "salaryAnnualMax" : 167900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Physics-based simulations", "Rigid body kinematics", "Spatial fit analysis", "Tool accessibility analysis", "Assembly feasibility", "Ergonomics analysis", "3D scanning", "Point cloud data", "GD&T", "Tolerance analysis", "Process simulation", "Assembly simulation", "DfD feedback", "Assembly process planning", "DfA", "DfM", "Manufacturing engineering", "Dimensional Variation Analysis", "Tolerance chain modeling", "Ergonomics assessment", "Amazon Robotics products", "Robotic workcells", "Automated fulfillment systems", "Hardware design", "Deployment engineering", "Field engineering", "Automated systems", "Robotic systems", "Tecnomatix Process Simulate", "SolidWorks simulation", "Leica RTC360", "NavVis" ], "skillCount" : 32, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 922.675, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306774f292fd229cfbd742", "title" : "Launch Engineer - Fluids", "company" : "Stoke Space", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Launch Engineer - Fluids in Florida, United States, adjusted for industry and company size." }, "location" : "Florida, United States", "locations" : [ "Florida", "United States" ], "timestamp" : "2026-06-16T07:02:30.062", "fingerprint" : "20dd1eb2f2bce9216c3b902d2ea9c3b93cfcdda998922c104f2733577c696ec0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stokespace.com/careers/current-openings?gh_jid=6030638004", "externalId" : "6030638004", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Florida", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Florida, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we’re building Nova, our fully and rapidly reusable launch vehicle. Designed for daily flight, Nova tackles the core challenges of space transportation by reducing cost, increasing availability, and improving reliability. By radically lowering launch costs and increasing flight cadence, we’re helping create a truly scalable space industry. Our team is mission-driven, collaborative, and empowered to take ownership of their work. If you want to work alongside some of the most dedicated and talented people on Earth, we’d love to have you join us. Description Reusable systems with frequent launch cadence are the key to seamlessly connecting Earth and space. A highly operable, reliable, and robust ground system is an integral part of a fully reusable launch system. As a design engineer for ground fluid systems for our dedicated launch complex at Cape Canaveral Space Force Station, you will be responsible for developing and commissioning a new launch pad from scratch. You will be responsible for all phases of the product lifecycle including schematic definition, component selection, detailed mechanical design, component procurement, integration, commissioning, and operations. As part of a small, well-supported team, you will have access to the resources you need to get the job done right while simultaneously boosting your skills at a pace that can’t be matched in most other roles. You must be ready to stay focused, move fast, self-direct, and learn on the fly. Responsibilities Develop and maintain interface requirements and performance requirements for the ground fluid systems in coordination with the launch vehicle development team Develop fluid system schematics and architectural design to implement functional requirements Perform analysis to size fluid system components for cryogenic propellant systems, high pressure pneumatics, and water systems Specify and select components from vendors, then manage the procurement process Design components and routed systems, from initial layout through detailed component design, and create CAD models and drawings using Siemens NX Support technicians with mechanical installation and integration of your designs, both with engineering oversight and hands-on assembly as needed Develop the test plan for commissioning and activation of the ground fluid systems and execute the testing in coordination with the launch site development and operations team Conduct test and launch operations on console in an engineering support and/or operational role Continuously maintain and improve the design configuration and physical configuration of the system throughout ongoing operations and maintenance Qualifications 5+ years of experience in a related role working on high pressure systems in an aerospace or similar high-performance application (oil & gas, heavy equipment, energy systems, etc.) Practical and theoretical knowledge of mechanical design, thermodynamics, and fluids engineering principles Knowledge of ASME B31.3 Process Piping Proficient with 3D CAD software (Siemens NX preferred) Proficient with developing and maintaining a Piping and Instrumentation Diagram (P&ID) Knowledge of the working principles of common fluid components such as valves, regulators, and instrumentation Ability to prioritize and execute Excellent written and verbal communication Ability to lead Ability to follow Bachelor’s degree in mechanical engineering, aerospace engineering, or similar field Willing to relocate to Cape Canaveral, FL Preferred Qualifications 10+ years of experience in a related role engineering, building, and operating cryogenic fluids systems in aerospace or similar high-performance application (oil & gas, heavy equipment, energy systems, etc.) Familiarity with AFSPCMAN 91-710 range requirements as well as DoD explosive siting for launch vehicle programs Experience working with 45th SW, 30th SW, and/or NASA and other government agencies Master’s degree in mechanical engineering, aerospace engineering, or similar field Professional Engineering (P.E.) license Benefits Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees. Comprehensive benefits program including subsidized medical, dental, and vision insurance Company-paid life and disability insurance 401(k) plan with employer match 4 weeks’ Paid Time Off Holidays – 10 days (including an end-of-year closure) Paid Family/Parental Leave On-site gym or monthly wellness stipend (depending on location) Dog friendly offices! Compensation Target Levels: Level 3 Range: $129,150 - $193,620 Level 4 Range: $151,305 - $252,105 Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. Your actual level and base salary will be decided based on your specific experience and skill level. ITAR Requirements To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Equal Opportunity The Company is an Equal Opportunity Employer, including with respect to disability and veteran status. It is committed to compliance with all equal opportunity laws, including the Immigration and Nationality Act (INA) and Title VII. It does not discriminate on the basis of nationality, race, citizenship, immigration status, or any other protected class when it comes to employment practices, including hiring. Employment at the Company is contingent upon satisfactory completion of reference and background checks, and on your ability to prove your identity and authorization to work in the U. S. for the Company. Employees must comply with the United States Citizenship and Immigration Services employment verification requirements, and, therefore, they must complete an Employment Eligibility Verification Form I-9 at the start of employment and re-verify authorization to work periodically. Separate from this I-9 process, this position entails access to certain technology and technical data that is restricted under U. S. export control laws and regulations. Employment or continued employment may be conditioned on your legal authorization to work with or have access to export control materials as necessary to perform your job. Candidate Rights & Accommodations If you require a reasonable accommodation to complete the application or participate in the interview process, please contact careers@stokespace.com. Requests will be handled in accordance with applicable laws. Please do not include medical or other confidential information in your initial request. For more information about your rights, please refer to the \"Know Your Rights\" notice here. E-Verify Stoke Space uses E-Verify to confirm the identity and employment eligibility of all new hires.", "summaryDescription" : "Launch Engineer - Fluids at Stoke Space", "postedDate" : "2026-06-15T23:27:07.130", "createdAt" : "2026-06-15T23:27:07.130", "lastUpdated" : "2026-06-16T07:02:30.062", "ingestTimestamp" : "2026-06-15T23:27:07.130", "mongoId" : "6a306774f292fd229cfbd742", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 912.63983, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca59074d8ee00a09b71dd", "title" : "Engineer, Ride Comfort Objectivation & Simulation", "company" : "Scout Motors", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC", "Novi", "Michigan", "United States" ], "timestamp" : "2026-06-16T01:55:10.542", "fingerprint" : "4a14f4f63b375463f6da7a99119154559ba002fb35c89e84734384ccf3f286a6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5160784007", "externalId" : "5160784007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Novi", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.4805900,-83.4754913" } ], "locationText" : "Novi, Michigan, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Simulation, Objectivation, Vehicle dynamics, Data analysis, Python", "professionalSkills" : [ "Problem-solving", "Analytical thinking", "Technical communication" ], "hardSkillsList" : [ "Ride comfort analysis", "Simulation modeling", "Data interpretation" ], "hardSkills" : [ { "name" : "Ride comfort analysis", "level" : "intermediate" }, { "name" : "Simulation modeling", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Ride Comfort, Simulation, Objectivation", "majorSkillsList" : [ "Ride Comfort", "Simulation", "Objectivation" ], "coreResponsibilities" : "Develop and validate simulation models, Define and implement objectivation methods, Analyze simulation results, Interpret ride comfort data, Collaborate with engineering teams, Document findings and recommendations, Contribute to vehicle development process", "teamCollaboration" : "Cross-functional engineering teams; Vehicle development teams", "domainKnowledge" : "Vehicle dynamics; Ride comfort; Automotive engineering", "domainList" : [ "vehicle-dynamics", "ride-comfort", "automotive-engineering" ], "domainSpecificKnowledge" : [ "Vehicle dynamics", "Ride comfort", "Automotive engineering" ], "toolProficiency" : [ "MATLAB", "Simulink", "Python" ], "communicationSkills" : "Technical reporting; Present findings", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting simulation issues", "outcomesObjectives" : "Improve ride comfort simulation accuracy; Enhance vehicle development efficiency", "qualificationsBasic" : "Bachelor's degree in a relevant field, 5+ years of experience in simulation and objectivation, Experience with vehicle dynamics simulation, Experience with data analysis and interpretation", "qualificationsPreferred" : "Master's or PhD degree, Experience with ride comfort metrics, Experience with CAE tools, Experience with scripting languages (e.g., Python)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do At Scout Motors, you don't just design vehicles- you shape the future of the road. Our Engineering team is where bold ideas meet rigorous execution, building machines that are as durable and capable as the people who drive them. You'll work shoulder-to-shoulder with brilliant minds across disciplines, turning complex challenges into elegant, scalable solutions that meet the highest standards of safety, performance, and user experience. This is a place where your fingerprints are found on metal – where what you design gets built, driven, and remembered. If you're hungry to engineer something that matters, Scout Motors is where that ambition finds its highest gear. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Virtual Development & Correlation (MBS) Develop and utilize multi-body simulation (MBS) models (e.g., Adams, CarSim, or equivalent) to represent vehicle ride behavior (primary & secondary ride). Correlate simulation results with physical test data to ensure alignment between virtual and real-world ride comfort performance. Support model tuning, validation, and parameter identification based on measurement data and simulation results. Enable frontloading of ride comfort development through predictive simulation and scenario studies. Collaborate with simulation and CAE teams to continuously improve model fidelity and robustness. Vehicle ride comfort objectivation Own the end-to-end ride comfort objectivation process, from instrumentation concept through testing, analysis, and target definition. Define and implement vehicle instrumentation strategies for ride comfort measurement, including accelerometers, gyros, displacement sensors, seat rail sensors, steering inputs, and wheel force transducers. Specify sensor layouts, orientations, sampling strategies, and validation methods to ensure high-quality, repeatable data. Plan and execute ride comfort testing campaigns at proving grounds using development vehicles, mules, and benchmark competitor vehicles. Conduct standardized ride events (e.g., cobblestones, rough roads, impacts, highway profiles) with strict control of boundary conditions and repeatability. Lead data acquisition and validation activities, ensuring completeness, accuracy, and traceability of test data. Analyze measurement data using time-domain and frequency-domain methods (RMS, PSD, ISO weighting, shock response, etc.). Develop and apply objective ride comfort metrics at vehicle, body, and seat level, including correlation to subjective assessments. Identify ride comfort strengths, weaknesses, and differentiation opportunities across vehicles. Conduct competitive benchmarking and derive clear positioning versus key competitors. Define and propose quantitative ride comfort targets aligned with vehicle character and brand positioning. Work closely with chassis, ride tuning, NVH, tires, body, and vehicle integration teams to translate results into actionable engineering direction. Create clear technical reports, dashboards, and presentations to communicate findings and recommendations to stakeholders and leadership. Support development of internal standards, objectivation methodologies, and best practices for ride comfort evaluation. Location & Travel Expectations: This role will be based out of the Scout Motors location in Novi, Michigan. This role requires 4-5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering, Mechatronics, or related field. 8+ years of experience in ride comfort, vehicle dynamics, chassis development, or vehicle testing within OEM or Tier 1 environments. Strong understanding of ride comfort fundamentals, vibration theory, and vehicle dynamics. Hands-on experience with vehicle instrumentation, proving ground testing, and data acquisition systems. Proficiency with measurement and analysis tools such as CANape, INCA, Diadem, MATLAB, Python, or similar. Solid experience analyzing time-series measurement data and applying standardized comfort metrics. Strong experience with multi-body simulation tools (e.g., Adams, CarSim, Simpack, or equivalent). Proven ability to correlate simulation models with physical test data and improve model accuracy. Understanding of suspension kinematics, compliances, and system behavior in virtual environments. Experience integrating simulation into development workflows for ride comfort and vehicle dynamics. What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $130,000.00 - $160,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Engineer, Ride Comfort Objectivation & Simulation at Scout Motors. Skills: Ride Comfort, Simulation, Objectivation. Develop and validate simulation models. Define and implement objectivation methods", "postedDate" : "2026-06-14T18:37:24.242", "createdAt" : "2026-06-14T18:37:24.242", "lastUpdated" : "2026-06-16T01:55:10.542", "ingestTimestamp" : "2026-06-14T18:37:24.242", "mongoId" : "6a2ca59074d8ee00a09b71dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Ride comfort analysis", "Simulation modeling", "Data interpretation", "Ride Comfort", "Simulation", "Objectivation", "Problem-solving", "Analytical thinking", "Technical communication", "Vehicle dynamics", "Ride comfort", "Automotive engineering", "MATLAB", "Simulink", "Python" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 907.79645, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc38274d8ee00a0a09953", "title" : "Senior Flight Dynamics Engineer", "company" : "Cowboy Space Corp.", "industry" : "Launch & Propulsion Engineering", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Flight Dynamics Engineer in Seattle, adjusted for the aerospace industry and company size." }, "location" : "Seattle, WA", "locations" : [ "Seattle, WA" ], "timestamp" : "2026-06-16T02:25:42.742", "fingerprint" : "b58101ff4d4517b31eadcdc784d3a7aaef6b57d7bc6d5f9733efb71b05e7c0ca", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cowboyspace/9328e6bf-fa5d-4d04-956b-fe61c76ca32d/application", "externalId" : "9328e6bf-fa5d-4d04-956b-fe61c76ca32d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python", "professionalSkills" : [ "Systems engineering", "Mission design", "Autonomous control" ], "hardSkillsList" : [ "Orbital mechanics", "Classical dynamics", "Modeling", "Simulation", "Mission analysis", "Launch window analysis", "Delta-V budgets", "Contingency planning", "Guidance profiles", "Vehicle systems investigations", "Analysis methodologies", "Flight termination system", "Orbit determination" ], "hardSkills" : [ { "name" : "Orbital mechanics", "level" : "intermediate" }, { "name" : "Classical dynamics", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Simulation", "level" : "intermediate" }, { "name" : "Mission analysis", "level" : "intermediate" }, { "name" : "Launch window analysis", "level" : "intermediate" }, { "name" : "Delta-V budgets", "level" : "intermediate" }, { "name" : "Contingency planning", "level" : "intermediate" }, { "name" : "Guidance profiles", "level" : "intermediate" }, { "name" : "Vehicle systems investigations", "level" : "intermediate" }, { "name" : "Analysis methodologies", "level" : "intermediate" }, { "name" : "Flight termination system", "level" : "intermediate" }, { "name" : "Orbit determination", "level" : "intermediate" } ], "majorSkills" : "Flight dynamics, Orbital mechanics, Mission design", "majorSkillsList" : [ "Flight dynamics", "Orbital mechanics", "Mission design" ], "coreResponsibilities" : "Develop and analyze launch vehicle and spacecraft trajectories, Perform orbital propagation and station-keeping analysis, Support mission design, Interface with flight software and GNC teams, Contribute to development of in-house simulation tools, Engage in multi-disciplinary vehicle systems investigations, Develop and evaluate flight termination system mission rules", "teamCollaboration" : "Flight software teams; GNC teams; Multi-disciplinary teams", "domainKnowledge" : "Orbital economy; Space systems; Aerospace systems; Launch vehicles; Spacecraft operations; On-orbit compute; Infrared lasers; Optical data; Space infrastructure; Flight software; Vehicle architecture; Defense systems; Missiles; Hypersonics; UAVs; Export Control; ITAR", "domainList" : [ "orbital-economy", "space-systems", "aerospace-systems", "launch-vehicles", "spacecraft-operations", "on-orbit-compute", "infrared-lasers", "optical-data", "space-infrastructure", "flight-software", "vehicle-architecture", "defense-systems", "missiles", "hypersonics", "uavs", "export-control", "itar" ], "domainSpecificKnowledge" : [ "Orbital economy", "Space systems", "Aerospace systems", "Launch vehicles", "Spacecraft operations", "On-orbit compute", "Infrared lasers", "Optical data", "Space infrastructure", "Flight software", "Vehicle architecture", "Defense systems", "Missiles", "Hypersonics", "UAVs", "Export Control", "ITAR" ], "toolProficiency" : [ "STK", "Astrogator", "GMAT", "Monte", "Copernicus", "ODTK", "Orekit" ], "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "U. S. citizen, Permanent resident, Protected individual", "qualificationsBasic" : "Bachelor's degree in Aerospace, Mechanical, Space Systems, or Software Engineering, or an equivalent Engineering or Applied Physics degree, Experience with orbital mechanics, classical dynamics, modeling, and simulation, Mission analysis with STK, Astrogator, GMAT, Monte, Copernicus, or equivalent, Python software development", "qualificationsPreferred" : "Experience with launch vehicles, spacecraft, missiles, hypersonics, UAVs, or defense systems, Orbit determination analysis with ODTK, Orekit, or equivalent, Team and/or software project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cowboy Space Corp. is building the infrastructure to power and connect the orbital economy. Our satellites operate in Low Earth Orbit to collect sunlight and enable a new class of capabilities—from powering on-orbit compute, to transmitting energy via infrared lasers (space-to-earth and space-to-space), powering on-orbit compute to delivering secure, high-bandwidth optical data. By rethinking how energy and data are generated and distributed in space, we’re unlocking entirely new ways to operate both in orbit and on Earth. Founded in 2024 by Baiju Bhatt (co-founder of Robinhood), Cowboy Space Corp. is backed by leading investors and built by a team from top aerospace and defense organizations. We’re moving quickly to solve complex technical challenges and build a new category of space infrastructure. About the Role: We are seeking a highly motivated Senior Flight Dynamics Engineer to support the development, analysis, and validation of advanced aerospace systems. The ideal candidate combines strong analytical skills with hands-on simulation and systems engineering experience to support mission design, flight dynamics, and autonomous control system development. This position is located onsite in Seattle WA. Responsibilities: - Develop and analyze launch vehicle and spacecraft trajectories, including ascent, orbit insertion, and orbital maneuvers - Perform orbital propagation and station-keeping analysis for spacecraft operations - Support mission design including launch window analysis, delta-V budgets, and contingency planning - Interface with flight software and GNC teams to validate and optimize guidance profiles - Contribute to development of in-house simulation tools and flight dynamics infrastructure - Engage in multi-disciplinary vehicle systems investigations to motivate mission design, vehicle architecture, and analysis methodologies - Develop and evaluate flight termination system mission rules Basic Qualifications: - Bachelor's degree in Aerospace, Mechanical, Space Systems, or Software Engineering, or an equivalent Engineering or Applied Physics degree. - Experience with orbital mechanics, classical dynamics, modeling, and simulation - Mission analysis with STK, Astrogator, GMAT, Monte, Copernicus, or equivalent. - Python software development Preferred Qualifications: - Experience with launch vehicles, spacecraft, missiles, hypersonics, UAVs, or defense systems - Orbit determination analysis with ODTK, Orekit, or equivalent - Team and/or software project management experience COMPENSATION AND BENEFITS The salary range for this position is $150,000 – $200,000 annually. The actual base salary offered will depend on factors such as job-related skills, experience, qualifications, and internal equity. - Equity in Cowboy Space Corp. - Employees and their eligible dependents may enroll in medical, dental, and vision insurance - 401(k) retirement savings plan - Paid time off - 10 paid holidays per calendar year - Paid parental leave - Relocation assistance if applicable - Daily lunch in the office and a fully stocked kitchen with beverages and snacks ITAR Requirements - Export Control Requirement: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), applicants must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about ITAR here https://deccs.pmddtc.state.gov/deccs. Disclaimer This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at Cowboy Space Corp.’s discretion. Cowboy Space Corp. is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. Cowboy Space Corp. is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions relating to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.", "summaryDescription" : "Senior Flight Dynamics Engineer at Cowboy Space Corp.. Skills: Flight dynamics, Orbital mechanics, Mission design. Develop and analyze launch vehicle and spacecraft trajectories. 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"Object-oriented programming", "Software design principles" ], "softSkillsList" : [ "Openness", "Ethical team culture" ], "hardSkills" : [ { "name" : "Simulation models", "level" : "intermediate" }, { "name" : "Simulation visualizations", "level" : "intermediate" }, { "name" : "Virtual environments", "level" : "intermediate" }, { "name" : "Virtual platforms", "level" : "intermediate" }, { "name" : "Frameworks development", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "System capabilities", "level" : "intermediate" }, { "name" : "Version control systems", "level" : "intermediate" }, { "name" : "Agile development methodologies", "level" : "intermediate" }, { "name" : "DevOps concepts", "level" : "intermediate" }, { "name" : "Automation concepts", "level" : "intermediate" }, { "name" : "CICD concepts", "level" : "intermediate" }, { "name" : "Testing frameworks", "level" : "intermediate" }, { "name" : "Unit testing practices", "level" 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"Virtual platforms" ], "coreResponsibilities" : "Support design of simulation models, Support architecture of simulation models, Support development of simulation models, Support design of simulation visualizations, Support architecture of simulation visualizations, Support development of simulation visualizations, Support design of virtual environments, Support architecture of virtual environments, Support development of virtual environments, Support design of virtual platforms, Support architecture of virtual platforms, Support development of virtual platforms, Support design of frameworks, Support architecture of frameworks, Support development of frameworks, Support partnership with stakeholders, Review simulation requirements, Identify simulation requirements, Review system dynamics, Identify system dynamics, Support designing systems, Support modeling systems, Support simulation systems, Support testing systems, Support analysis systems, Optimize system performance, Optimize system capabilities", "teamCollaboration" : "Engineering Capability; Software Engineering portfolio; Ethical team culture; Openness; Collaboration; Innovation; Safety; First time quality", "projectManagementSkills" : [ "Agile development methodologies" ], "domainKnowledge" : "Defence platforms; Commercial Airplanes; Global services; Uncrewed technologies; Defence and Security domains; Autonomous Systems; Training and Simulation; Cyber; Space; Intelligence; Security; Air domain; Land domain; Maritime domain; Physics based Modelling; Simulation system Engineering; Distributed interoperability simulation protocols; Defence collective training; COTS simulation; Training environment development", "domainList" : [ "defence-platforms", "commercial-airplanes", "global-services", "uncrewed-technologies", "defence-and-security-domains", "autonomous-systems", "training-and-simulation", "cyber", "space", "intelligence", "security", "air-domain", "land-domain", "maritime-domain", 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clearance, UK CITIZEN, LEGAL AUTHORIZATION TO WORK IN THE UK, SECURITY CHECK, UK security Clearance, Security Clearance (SC)", "outcomesObjectives" : "Enhance test performance; Enhance safety; Enhance durability; Optimize overall system performance; Optimize system capabilities", "qualificationsBasic" : "Bachelor of Science degree or higher, Ability to obtain security clearance", "qualificationsPreferred" : "Experience as Software Simulation Engineer, Experience across Software Development Lifecycle, Experience with Software standards such as ISO9001, Understanding of DIS and HLA, Experience of COTS simulation and training environment development, Understanding of OOP, Understanding of software design principles", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Software Engineer–Simulation (Simulation) **Company:** Boeing Defence United Kingdom Limited At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. **The team:** The Software Engineering and Systems Integration team in the UK is actively working across Boeing Defence, Commercial Airplanes, Global services and Uncrewed technologies. The Software Engineering team works in the development of Synthetic Environment Sub-systems, Mission Systems Capability, Autonomous Behaviours, enhancement of Ground Control Systems, Technical Publications and various in-house proprietary tools for the Defence platforms. The team is also contributing to Commercial Modification of aircrafts, development of Onboard Network Systems, Cabin Interiors and supporting Supplemental Type Certification effort. **About the role** You’ll support Defence and Security domains at Boeing locations and Customer sites across the UK, including Autonomous Systems, Training and Simulation, Cyber, Space, Intelligence and Security. You will join a rapidly growing Engineering Capability with a culture for development, collaboration and success. Initially you will be assigned to our Simulation Programmes, which operate across the Air, Land and Maritime domains, with future opportunity to develop your interests across the breadth of the Software Engineering portfolio. We work in an exciting, faced-paced and dynamic environment, but your wellbeing is important to us and we strive to find a healthy life balance and with an ethical team culture and strong emphasis on openness, collaboration, innovation, safety and first time quality. **Position Responsibilities** * Supports the design, architecture, and development of simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle. * Supports partnership with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated. * Supports designing, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities. **Basic Qualification** * Bachelor of Science degree or higher from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science * Ability to obtain security clearance **Essential Skills** * Proficiency in C++, Lua Scripting or one of the similar programming languages * Familiarity with Physics based Modelling and Simulation system Engineering principals * Familiarity with version control systems (e.g., Git, BitBucket etc). * Knowledge of Agile development methodologies. * Familiarity with DevOps, Automation and CICD concepts. * Understanding of testing frameworks and unit testing practices. **Desirable** * Experience working as a Software Simulation Engineer or a similar role * Experience across Software Development Lifecycle and Software standards such as ISO9001. * Understanding of the distributed interoperability simulation protocols used within defence collective training (e.g., DIS and HLA). * Understanding and experience of the COTS simulation and training environment development, execution, verification, validation and deployments * Strong understanding of object-oriented programming (OOP) and software design principles. **Location** The primary locations for our Engineering teams is Fleet, with the general expectation of minimum 3 days a week in the office to foster collaboration and team efficiency. We will also consider applicants who may prefer to be based out of our Bristol offices, and potentially others dependent on the suitability of the candidate. **Important information regarding this requisition:** This requisition is for a locally hired position in the UK. CANDIDATES MUST BE A UK CITIZEN AND HAVE CURRENT LEGAL AUTHORIZATION TO WORK IN THE UK. BOEING WILL NOT ATTEMPT TO OBTAIN IMMIGRATION AND LABOR SPONSORSHIP FOR ANY APPLICANTS. Relocation is not available for this position. Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll. **PLEASE NOTE** : The successful candidate will be expected to undergo a SECURITY CHECK. **The Boeing benefits package goes above and beyond, focusing on your physical, emotional, financial and social well-being. Here’s a snapshot of what we offer:** * Competitive salary and annual incentive plans * Continuous learning - you’ll develop the approach and skills to navigate whatever comes next * Success as defined by you - we’ll provide the tools and flexibility, so you can make a meaningful impact, your way * An inclusive culture - you’ll be embraced for who you are and empowered to use your voice to help others find theirs * Excellent Adoption and Parental leave options * 23 days plus UK public holidays and a Winter Break between Christmas and New Year * Pension Plan with up to 10% employer contribution * Company paid BUPA Medical Plan * Short Term Sickness: 100% pay for the first 26 weeks * Long Term Sickness: 66.67% of annual salary from 27th week * 6x annual salary life insurance * Learning Together Programme to support your on-going personal and career development * Access to Boeing’s Well Being Programs, tool and incentives ******Language Requirements:****** Not Applicable **Education:** Not Applicable **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Security Clearance:** This position requires the ability to acquire a UK security Clearance for which the UK Government requires UK residency. The successful candidate will hold, or have the ability to acquire, Security Clearance (SC). **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Not a Shift Worker (United Kingdom)", "summaryDescription" : "Software Engineer–Simulation (Simulation) at Boeing Defence United Kingdom Limited. Skills: Simulation models, Simulation visualizations, Virtual environments, Virtual platforms. Support design of simulation models. 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"CI/CD pipelines" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Integration patterns", "level" : "intermediate" }, { "name" : "Role-based security", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Dynamics Platform Engineering, Microsoft Power Platform, Dynamics 365, Solution Architecture", "majorSkillsList" : [ "Dynamics Platform Engineering", "Microsoft Power Platform", "Dynamics 365", "Solution Architecture" ], "coreResponsibilities" : "Design solutions, Build solutions, Maintain solutions, Lead solution delivery, Gather requirements, Design architecture, Deploy solutions, Support solutions, Develop integrations, Maintain integrations, Optimize solutions, Enhance solutions, Ensure platform governance, Apply environment strategy, Apply naming conventions, Apply solution structuring, Apply lifecycle management, Implement security, Oversee security, Oversee data integrity, Act as escalation point, Provide guidance, Mentor teams, Share knowledge, Drive continuous improvement, Adopt modern tooling, Adopt automation, Adopt AI features", "teamCollaboration" : "Architects; Engineers; Business stakeholders; Development teams; Delivery teams; Cross-functional teams", "projectManagementSkills" : [ "Agile delivery" ], "domainKnowledge" : "Financial services; Asset management; Retirement solutions; Life insurance; Workplace pensions; Bulk annuity", "domainList" : [ "financial-services", "asset-management", "retirement-solutions", "life-insurance", "workplace-pensions", "bulk-annuity" ], "domainSpecificKnowledge" : [ "Financial services", "Asset management", "Retirement solutions", "Life insurance", "Workplace pensions", "Bulk annuity" ], "toolProficiency" : [ "Microsoft Copilot" ], "communicationSkills" : "Translate technical concepts", "innovationCreativity" : "AI-enabled automation; Microsoft Copilot", "qualificationsBasic" : "Extensive experience Power Platform, Extensive experience Dynamics 365, Deep technical expertise Power Apps, Deep technical expertise Power Automate, Deep technical expertise Power BI, Deep technical expertise Dataverse, Deep technical expertise Dynamics 365, Configuration skills, Customization skills, Integration skills, Proven track record design delivery, Understanding modern integration approaches, Advanced knowledge ALM, Advanced knowledge environment strategy, Advanced knowledge DevOps practices, Solid understanding data governance, Solid understanding data modelling, Solid understanding security best practices, Excellent problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Relevant Microsoft certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. L&G Institutional Retirement looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK’s longest-running insurer. Our Institutional Retirement business is the UK’s longest-serving active bulk annuity provider. Who we are Institutional Retirement is the only insurer to have been operating continuously in the UK market from our entrance in 1987 to the present day. Our UK retirement annuity book stands at an estimated £86.1 billion at 31 December 2023. Across our retail and institutional retirement businesses, we look after more than 1 million customers, around c.700,000 of whom are institutional customers who have had their retirement benefits secured with us. We are seeking an experienced Senior Dynamics Platform Engineer to lead the design, development, and optimisation of solutions across Dynamics 365 and the Microsoft Power Platform. This role plays a critical part in delivering robust, scalable, and secure solutions that enable business transformation and support the organisation’s wider digital strategy. With deep technical expertise and strong solution design capability, you will drive best‑practice delivery, champion governance and quality standards, and provide technical leadership across the platform team. You will work closely with architects, engineers, and business stakeholders to ensure solutions are aligned with strategic objectives and delivered to a high standard. What you'll be doing: * Designing, building, and maintaining high‑quality solutions using Power Apps, Power Automate, Power BI, and Dataverse * Leading end‑to‑end solution delivery, from requirements gathering and architectural design through to deployment and ongoing operational support * Developing and maintaining integrations with external systems, including standard and custom connectors, using approved best‑practice integration patterns * Optimising and enhancing existing solutions to improve performance, usability, scalability, and long‑term maintainability * Ensuring strong platform governance by applying environment strategy, naming conventions, solution structuring, and lifecycle management standards * Implementing and overseeing role‑based security, data integrity controls, and compliance with internal policies and external regulatory requirements * Acting as a senior technical escalation point, providing guidance, mentoring, and knowledge sharing across development and delivery teams * Driving continuous improvement through effective application lifecycle management (ALM) practices and the adoption of modern tooling, automation, and emerging capabilities such as AI‑enabled features and Microsoft Copilot Who we're looking for: * Extensive experience delivering enterprise‑scale solutions using the Microsoft Power Platform and Dynamics 365, supported by relevant Microsoft certifications * Deep technical expertise across Power Apps, Power Automate, Power BI, Dataverse, and Dynamics 365, with strong configuration, customisation, and integration skills * A proven track record of designing and delivering end‑to‑end solutions, from discovery and design through to deployment and operational support * Strong understanding of modern integration approaches, including APIs, standard and custom connectors, and secure, scalable integration patterns * Advanced knowledge of application lifecycle management (ALM), environment strategy, and DevOps practices, including version control and CI/CD pipelines * Solid understanding of data governance, data modelling, and security best practices to ensure compliant and responsible use of data * Excellent problem‑solving and communication skills, with the ability to translate complex technical concepts for both technical and non‑technical audiences * Experience working within agile delivery environments, collaborating with cross‑functional teams and leveraging modern capabilities such as AI‑enabled automation and Microsoft Copilot Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer: * The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes * Generous pension contribution * Life assurance * Healthcare Plan (permanent employees only) * At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday * Competitive family leave * Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only) * There are the many discounts we offer – both for our own products and at a range of high street stores and online * We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience #LI-NH1 ## Additional Information At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.", "summaryDescription" : "Senior Dynamics Platform Engineer at LegalAndGeneral. Skills: Dynamics Platform Engineering, Microsoft Power Platform, Dynamics 365, Solution Architecture. Design solutions. 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Product managers; Engineering teams; Business stakeholders", "toolProficiency" : [ "Dbt", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Realize your potential by joining the leading performance-driven Ad-Tech company! As an Senior Business Analyst (Dynamic Ads) on the Dynamic Ads team in our Budapest office, you’ll play a vital role in driving the performance of our customers’ campaigns through data-driven analysis and hands-on optimization.You will turn data into actionable insights, identify opportunities for improvement, and drive measurable impact through a deep analytical and problem-solving approach.You’ll work closely with cross-functional teams to ensure continuous improvement of performance, while applying analytical thinking and experimentation to optimize results.This role is perfect for someone who thrives on problem-solving, analytics, and making a direct impact through data. To thrive in this role, you'll need: 5+ years of technical experience, preferably in digital media or other data-intensive environments Hands-on experience with SQL to query and analyze large datasets Experience using Python, R, Excel, or BI tools to process and visualize data for actionable insights Proficiency in designing and analyzing A/B tests and other experimentation frameworks Strong analytical and problem-solving skills, with a proactive, data-driven approach, and ability to collaborate with Product, R “You can copy anything from another business but you can’t copy a company’s culture. Well-being: Competitive benefits and well-being programs tailored to the region. Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired. Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. Taboola is the world’s leading recommendation platform with a strong financial background reaching over 500 million daily active users. The company, listed on NASDAQ (ticker: TBLA), had 1.91 billion USD (cca. 650 billion HUF) revenue in 2025. We acquired the Hungarian personalization start-up, Gravity R&D in 2022, to be the basis of our Central European R&D development center, into which we are now seeking candidates for this role. #LI-DN1 #LI-Hybrid", "summaryDescription" : "Senior Business Analyst (Dynamic Ads) at Gravity. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T20:06:42.490", "createdAt" : "2026-06-14T20:06:42.490", "lastUpdated" : "2026-06-16T02:01:48.829", "ingestTimestamp" : "2026-06-14T20:06:42.490", "mongoId" : "6a2c95bf74d8ee00a098de01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data warehousing", "ETL processes", "Data pipelines", "Model development", "Data visualization", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 836.3997, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ad-Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc38274d8ee00a0a09951", "title" : "Senior GNC Engineer", "company" : "Cowboy Space Corp.", "industry" : "Launch & Propulsion Engineering", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior GNC Engineer in Seattle, adjusted for the aerospace industry and company size." }, "location" : "Seattle, WA", "locations" : [ "Seattle, WA" ], "timestamp" : "2026-06-16T00:40:45.586", "fingerprint" : "0b691ec3af49f8517a221bf8bd8230b00e061106400cd5c2b9f126a888d87a75", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cowboyspace/60c242a4-a420-4a4f-a805-497baca33c4d/application", "externalId" : "60c242a4-a420-4a4f-a805-497baca33c4d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, 6-DOF dynamics", "professionalSkills" : [ "Systems engineering", "Mission design", "Flight dynamics", "Autonomous control" ], "hardSkillsList" : [ "Control systems", "Orbital mechanics", "Classical dynamics", "Modeling", "Simulation" ], "hardSkills" : [ { "name" : "Control systems", "level" : "intermediate" }, { "name" : "Orbital mechanics", "level" : "intermediate" }, { "name" : "Classical dynamics", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Simulation", "level" : "intermediate" } ], "majorSkills" : "Aerospace systems, Dynamics simulation", "majorSkillsList" : [ "Aerospace systems", "Dynamics simulation" ], "coreResponsibilities" : "Develop guidance, navigation, and control systems, Engage in vehicle systems investigations, Engage in design work, Implement new software, Implement new algorithms, Develop 6-DOF dynamics simulation models, Analyze launch vehicle trajectories, Analyze performance dispersions, Analyze flight stability, Support launch operations, Support mission operations, Perform testing of GNC software, Utilize hardware-in-the-loop testing, Utilize Monte Carlo analysis, Utilize algorithm unit testing", "domainKnowledge" : "Orbital economy; Launch vehicle performance; Space technology; Aerospace systems", "domainList" : [ "orbital-economy", "launch-vehicle-performance", "space-technology", "aerospace-systems" ], "domainSpecificKnowledge" : [ "Orbital economy", "Launch vehicle performance", "Space technology", "Aerospace systems" ], "toolProficiency" : [ "Hardware-in-the-loop testing" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Innovative systems development", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "U. S. citizen, Lawful permanent resident, Protected individual", "qualificationsBasic" : "Bachelor’s, Master’s, or PhD in Aerospace, Mechanical, Applied Mathematics, Physics, or related field, Experience with control systems, Experience with orbital mechanics, Experience with classical dynamics, Experience with modeling, Experience with simulation, Experience with Python or C++", "qualificationsPreferred" : "Experience with launch vehicles, Experience with spacecraft, Experience with missiles, Experience with hypersonics, Experience with UAVs, Experience with defense systems, Experience supporting flight testing, Experience supporting mission operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cowboy Space Corp. is building the infrastructure to power and connect the orbital economy. Our satellites operate in Low Earth Orbit to collect sunlight and enable a new class of capabilities—from powering on-orbit compute, to transmitting energy via infrared lasers (space-to-earth and space-to-space), powering on-orbit compute to delivering secure, high-bandwidth optical data. By rethinking how energy and data are generated and distributed in space, we’re unlocking entirely new ways to operate both in orbit and on Earth. Founded in 2024 by Baiju Bhatt (co-founder of Robinhood), Cowboy Space Corp. is backed by leading investors and built by a team from top aerospace and defense organizations. We’re moving quickly to solve complex technical challenges and build a new category of space infrastructure. About the Role: We are seeking a highly motivated Senior GNC Engineer to support the development, analysis, and validation of advanced aerospace systems. The ideal candidate combines strong analytical skills with hands-on simulation and systems engineering experience to support mission design, flight dynamics, and autonomous control system development. This position is located onsite in Seattle WA. Responsibilities: - Develop innovative guidance, navigation, and control systems for a new orbital class launch vehicle - Engage in multi-disciplinary vehicle systems investigations and design work that define the systems architecture - Implement new software or algorithms to enable mission unique capabilities and leading edge launch vehicle performance - Develop 6-DOF dynamics simulation models used for GNC systems analysis and validation - Analyze launch vehicle trajectories, performance dispersions, and flight stability - Support launch and mission operations of vehicles that you enabled - Perform testing of GNC software utilizing hardware-in-the-loop testing, Monte Carlo analysis, and algorithm unit testing Basic Qualifications: - Bachelor’s, Master’s, or PhD in Aerospace, Mechanical, Applied Mathematics, Physics, or related field. - Experience with control systems, orbital mechanics, classical dynamics, modeling, and simulation - Experience with the software languages Python or C++ Preferred Qualifications: - Experience with launch vehicles, spacecraft, missiles, hypersonics, UAVs, or defense systems. - Experience supporting flight testing or mission operations. - Excellent communication skills both written and verbal Compensation and Benefits The salary range for this position is $150,000 – $200,000 annually. The actual base salary offered will depend on factors such as job-related skills, experience, qualifications, and internal equity. - Equity in Cowboy Space Corp. - Employees and their eligible dependents may enroll in medical, dental, and vision insurance - 401(k) retirement savings plan - Paid time off - 10 paid holidays per calendar year - Paid parental leave - Relocation assistance if applicable - Daily lunch in the office and a fully stocked kitchen with beverages and snacks ITAR Requirements - Export Control Requirement: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), applicants must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about ITAR here https://deccs.pmddtc.state.gov/deccs. Disclaimer This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at Cowboy Space Corp.’s discretion. Cowboy Space Corp. is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. Cowboy Space Corp. is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions relating to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.", "summaryDescription" : "Senior GNC Engineer at Cowboy Space Corp.. Skills: Aerospace systems, Dynamics simulation. Develop guidance, navigation, and control systems. Engage in vehicle systems investigations", "createdAt" : "2026-06-14T20:16:19.653", "lastUpdated" : "2026-06-16T00:40:45.586", "ingestTimestamp" : "2026-06-14T20:16:19.653", "mongoId" : "6a2cc38274d8ee00a0a09951", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Control systems", "Orbital mechanics", "Classical dynamics", "Modeling", "Simulation", "Aerospace systems", "Dynamics simulation", "Systems engineering", "Mission design", "Flight dynamics", "Autonomous control", "Orbital economy", "Launch vehicle performance", "Space technology", "Hardware-in-the-loop testing" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 834.376, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2aa66c74d8ee00a06b90a8", "title" : "AFSIm Simulation Engineer", "company" : "Barbaricum", "industry" : "Government Contracting", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AFSIm Simulation Engineer in Crane, United States, adjusted for mid-level experience and the government industry." }, "location" : "Crane, IN", "locations" : [ "Crane", "IN" ], "timestamp" : "2026-06-14T22:18:40.802", "fingerprint" : "665bd69c6e71287d64ae379ea558830d79c7f43d91b5a32ec37e98504cd11459", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/barbaricum/jobs/5112520008", "externalId" : "5112520008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crane", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8911588,-86.9038938" } ], "locationText" : "Crane, Indiana, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AFSIM, SysML, Python, C++, MATLAB, MBSE", "professionalSkills" : [ "Mission analysis", "System integration", "Test and evaluation", "Physics-based analysis", "Kill chain analysis", "System architecture", "Operational effects" ], "hardSkillsList" : [ "Simulation development", "Model execution", "Data analysis", "Statistical assessment" ], "hardSkills" : [ { "name" : "Simulation development", "level" : "intermediate" }, { "name" : "Model execution", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical assessment", "level" : "intermediate" } ], "majorSkills" : "AFSIM Simulation, MBSE integration, Kill chain analysis", "majorSkillsList" : [ "AFSIM Simulation", "MBSE integration", "Kill chain analysis" ], "coreResponsibilities" : "Develop AFSIM models derived from MBSE SysML artifacts, Modify AFSIM models, Execute AFSIM models, Analyze blue vs. red kill chains, Analyze system interactions, Analyze mission-level effects, Translate MBSE artifacts into AFSIM entities, Integrate sensor, RF, EW, weapon, and platform models, Support experimentation and test events, Support LVC exercises, Conduct verification of AFSIM models, Conduct validation of AFSIM models, Perform statistical assessments of mission outcomes, Perform analytical assessments of kill-chain performance, Produce analysis products", "teamCollaboration" : "Collaborate with MBSE teams; Collaborate with LVC teams; Collaborate with M&S teams", "domainKnowledge" : "DoD platform architecture; National Security; Defense mission sets; Multi-domain operational environments; EMSO-relevant influences", "domainList" : [ "dod-platform-architecture", "national-security", "defense-mission-sets", "multi-domain-operational-environments", "emso-relevant-influences" ], "domainSpecificKnowledge" : [ "DoD platform architecture", "National Security", "Defense mission sets", "Multi-domain operational environments", "EMSO-relevant influences" ], "toolProficiency" : [ "AFSIM" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Active DoD Secret clearance", "outcomesObjectives" : "Inform DoD platform architecture; Inform system integration; Inform test and evaluation activities; Assess hardware-centric DoD platforms; Assess integrated mission systems; Evaluate sensor-to-shooter kill chains; Evaluate operational effects", "qualificationsBasic" : "Bachelor's degree in Engineering, Physics, Operations Research, or related technical field, Active DoD Secret clearance, 5+ years of modeling and simulation experience, Hands-on experience developing and executing AFSIM models, Understanding of mission-level analysis, system architectures, and kill-chain dynamics, Ability to interpret and analyze large simulation datasets", "qualificationsPreferred" : "Top Secret/SCI clearance preferred, Experience supporting DoD platforms or hardware-centric mission systems, Experience executing sensor-to-shooter or effects-based kill-chain analysis, Experience supporting DoD test, evaluation, or experimentation activities, Programming experience in Python, C++, or MATLAB", "workSiteFlexibility" : "Onsite", "rawDescription" : "Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team. Barbaricum supports NSWC Crane with advanced modeling, simulation, and mission analysis capabilities that inform DoD platform architecture, system integration, and test and evaluation activities. Our teams deliver physics-based analysis that complements MBSE efforts by transforming authoritative SysML-based system models into executable mission-level simulations and actionable analysis products across complex, multi-domain operational environments. We are seeking an AFSIM Simulation Engineer to develop and execute mission-level and kill-chain simulations that consume MBSE-defined system architectures, interfaces, and mission threads to assess hardware-centric DoD platforms and integrated mission systems. The Role The AFSIM Simulation Engineer develops, executes, and analyzes physics-based mission simulations using the Advanced Framework for Simulation and Integration Modeling (AFSIM). This role supports mission effectiveness assessments, experimentation, and Live, Virtual, and Constructive (LVC) events by implementing MBSE-derived SysML views—including requirements, functional threads, physical architectures, and interfaces—as AFSIM inputs to evaluate sensor-to-shooter kill chains and operational effects, including EMSO-relevant influences. Responsibilities Develop, modify, and execute AFSIM models derived from MBSE SysML artifacts, including mission threads, functional flows, system architectures, and interface definitions Analyze blue vs. red kill chains, system interactions, and mission-level effects across integrated sensor, shooter, and command elements Translate MBSE handoff artifacts (requirements allocations, activity diagrams, block definitions, internal block diagrams) into executable AFSIM entities, behaviors, and interactions Integrate sensor, RF, EW, weapon, and platform models consistent with MBSE-defined system boundaries, interfaces, and architectural assumptions Support experimentation, test events, and LVC exercises focused on validating system architectures, mission threads, and kill-chain performance Conduct verification and validation of AFSIM models against MBSE-defined assumptions, constraints, and system definitions Perform statistical and analytical assessments of mission outcomes and kill-chain performance drivers, producing analysis products traceable to system design and architecture decisions Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required Qualifications Bachelor’s degree in Engineering, Physics, Operations Research, or related technical field Active DoD Secret (Top Secret/SCI preferred) 5+ years of modeling and simulation experience supporting system-level or mission-level analysis Hands-on experience developing and executing AFSIM models Strong understanding of mission-level analysis, system architectures, and kill-chain dynamics Ability to interpret and analyze large simulation datasets and trace results back to system requirements and architecture drivers Desired Qualifications Experience supporting DoD platforms or hardware-centric mission systems within an MBSE-driven development environment Experience executing sensor-to-shooter or effects-based kill-chain analysis tied directly to system architecture trades Experience supporting DoD test, evaluation, or experimentation activities using MBSE-informed scenarios and architectures Programming experience in Python, C++, or MATLAB EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.", "summaryDescription" : "AFSIm Simulation Engineer at Barbaricum. Skills: AFSIM Simulation, MBSE integration, Kill chain analysis. Develop AFSIM models derived from MBSE SysML artifacts. Modify AFSIM models", "postedDate" : "2026-06-11T22:29:08.407", "createdAt" : "2026-06-11T22:29:08.407", "lastUpdated" : "2026-06-14T22:18:40.802", "ingestTimestamp" : "2026-06-11T22:29:08.407", "mongoId" : "6a2aa66c74d8ee00a06b90a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Simulation development", "Model execution", "Data analysis", "Statistical assessment", "AFSIM Simulation", "MBSE integration", "Kill chain analysis", "Mission analysis", "System integration", "Test and evaluation", "Physics-based analysis", "System architecture", "Operational effects", "DoD platform architecture", "National Security", "Defense mission sets", "Multi-domain operational environments", "EMSO-relevant influences", "AFSIM" ], "skillCount" : 19, "jobCategory" : "customer-service", "jobSubcategory" : "mission-support", "dataQualityScore" : 0.8888889, "_score" : 833.6876, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government Contracting" }, { "id" : "6a2a432474d8ee00a05cd3c6", "title" : "Packaging Simulation Engineer", "company" : "Unilever", "industry" : "Consumer Goods", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Packaging Simulation Engineer in the consumer goods industry in Leeds, United Kingdom, adjusted for company size and industry." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-13T18:53:56.008", "fingerprint" : "b807017dd68abc75e6ad3761468f629664c386ccbb7e73589954bb4bce7bdeda", "source" : "workday", "language" : "en", "applyUrl" : "https://unilever.wd3.myworkdayjobs.com/UK_TemporaryWorkersite/job/Leeds-Office-and-RD/Packaging-Simulation-Engineer_R-1182482-1", "externalId" : "R-1182482", "industryFunction" : { }, "locationPoint" : "55.3781,-3.436", "structuredLocations" : [ { "city" : "Leeds", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.7974185,-1.5437941" } ], "locationText" : "Leeds, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Finite Element Analysis, Computational Fluid Dynamics, Abaqus, Ansys, LS-Dyna, Moldflow, Moldex3D, 3DEXPERIENCE, NX, DOE", "professionalSkills" : [ "Predictive engineering", "Digital simulation", "Design optimization", "Product development", "Injection molding", "Statistical analysis", "Data interpretation" ], "hardSkillsList" : [ "Simulation strategy", "Design requirements translation", "Simulation model validation", "Physical testing correlation", "Materials characterisation", "Design of Experiments", "Statistical approaches" ], "softSkillsList" : [ "Analytical mindset", "Curious mindset", "Agile" ], "hardSkills" : [ { "name" : "Simulation strategy", "level" : "intermediate" }, { "name" : "Design requirements translation", "level" : "intermediate" }, { "name" : "Simulation model validation", "level" : "intermediate" }, { "name" : "Physical testing correlation", "level" : "intermediate" }, { "name" : "Materials characterisation", "level" : "intermediate" }, { "name" : "Design of Experiments", "level" : "intermediate" }, { "name" : "Statistical approaches", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Curious mindset" }, { "name" : "Agile" } ], "majorSkills" : "Packaging simulation, Digital engineering, Predictive engineering", "majorSkillsList" : [ "Packaging simulation", "Digital engineering", "Predictive engineering" ], "coreResponsibilities" : "Apply simulation tools, Predict packaging performance, Optimise packaging performance, Predict component strength, Predict deformation, Predict durability, Predict user interactions, Predict injection molding, Build simulation strategies, Execute simulation strategies, Onboard simulation models, Translate design requirements, Generate simulation insight, Communicate recommendations, Partner with Design Engineers, Guide towards solutions, Support simulation integration, Validate simulation models, Use Design of Experiments, Use statistical approaches, Improve robustness, Reduce technical risk, Provide data-driven insights, Provide technical guidance, Collaborate with partners, Guide external partners, Contribute to capability building, Define best practices, Define workflows, Define future strategies, Participate in Communities of Practice, Share knowledge", "teamCollaboration" : "Multi-disciplinary teams; Cross-category Communities; Project teams; Stakeholders", "projectManagementSkills" : [ "Innovation projects", "Capability projects" ], "domainKnowledge" : "Deodorant packaging; Personal Care brands; Plastics; Material behaviour; Manufacturing processes; Injection moulding; Assembly", "domainList" : [ "deodorant-packaging", "personal-care-brands", "plastics", "material-behaviour", "manufacturing-processes", "injection-moulding", "assembly" ], "domainSpecificKnowledge" : [ "Deodorant packaging", "Personal Care brands", "Plastics", "Material behaviour", "Manufacturing processes", "Injection moulding", "Assembly" ], "toolProficiency" : [ "Dassault 3DEXPERIENCE", "NX", "Abaqus", "Ansys", "LS-Dyna", "Moldflow", "Moldex3D" ], "communicationSkills" : "Clear communication; Simplify complex outputs", "continuousLearning" : "Capability building; Knowledge sharing", "innovationCreativity" : "Brand innovation; New tools; New methods; New technologies", "problemSolvingSkills" : "Problem-solving skills; Data-driven insights; Technical challenges", "outcomesObjectives" : "Deliver robust packaging; Deliver high-performing packaging; Deliver sustainable packaging; Enable faster learning; Reduce physical testing; Reduce mold iterations; Optimize designs for performance; Optimize designs for manufacturability; Optimize designs for consumer use; Strengthen design outcomes", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, 3-5+ years simulation engineer experience, Understanding of Finite Element Analysis, Experience using CAD tools, Experience within data-managed environments", "qualificationsPreferred" : "Computational Fluid Dynamics benefit, Familiar with Dassault 3DEXPERIENCE platform, Familiar with modern digital workflows, Exposure to scripting, Exposure to automation, Exposure to digital integration, Exposure to AI approaches", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Packaging Simulation Engineer Location: Leeds, UK The Deodorants category is a key part of the Unilever Personal Care Business Group. With a family of Power Brands – Rexona, Dove, Axe – which are critical growth drivers of the company. We are looking for a Packaging Simulation Engineer to help shape the future of deodorant packaging for some of the world’s most recognisable Personal Care brands. Job Purpose As a Packaging Simulation Engineer in Deodorants you will drive the application of predictive engineering and digital simulation to deliver robust, high-performing and sustainable packaging solutions. You will work across multiple innovation and capability projects, applying advanced simulation tools and digital methodologies to guide design decisions from early concept through to manufacture. By integrating simulation into the product development process, you will enable faster learning, reduce physical testing and mold iterations, and ensure designs are optimised for performance, manufacturability and consumer use. In order to deliver the greatest value for both the consumer and our brands, your role is to ensure technical rigour, generate insight from virtual testing, and translate this into clear recommendations that strengthen design outcomes. WHY JOIN UNILEVER DESIGN Joining Unilever Design means working within an ambitious, high-performing and collaborative team focused on delivering impactful brand innovation. You will operate in an agile, open-minded environment alongside passionate thinkers and doers, contributing to advancements across sustainability, digital technology, packaging capability and business growth. In Unilever, you will collaborate with multi-disciplinary teams and external partners to create value and meet consumer needs through meaningful and technically robust solutions. MAIN RESPONSIBILITIES Apply simulation and digital engineering tools to predict and optimise packaging performance. E.g. component strength, deformation, durability, user interactions (sensorials, haptics, acoustics), and injection molding. Build and execute simulation strategies using modern platforms (Dassault 3DEXPERIENCE), including the in-housing/onboarding of externally managed simulation models into said platform for reuse. Translate design requirements into robust simulation plans for innovation projects, supporting rapid and confident decision making. Generate insight from simulation results and clearly communicate recommendations to project teams and stakeholders. Partner with Design Engineers and Product Designers to influence concepts early and guide them towards manufacturable, high-performing solutions. Support the integration of simulation within the wider digital ecosystem (e.g. PLM platforms, Centralised digital teams, Digital R&D frameworks, HPC infrastructure). Validation of simulation models through correlation with physical testing, dimensional measurement and materials characterisation. Use Design of Experiments (DOE) and statistical approaches to improve robustness and reduce technical risk. Support project leaders by providing data-driven insights and technical guidance to aid decision making. Collaborate with and guide external simulation partners and agencies to deliver high-quality outputs. Contribute to capability building, defining best practices, workflows and future simulation strategies. Actively participate in cross-category Communities of Practice to share knowledge and drive excellence. SKILLS & EXPERIENCE Bachelor’s degree (or equivalent) in Mechanical Engineering, Design Engineering, Simulation, Materials or related discipline. Experience applying simulation in product or packaging development, ideally within FMCG or consumer products. Strong understanding of Finite Element Analysis (FEA). Computational Fluid Dynamics (CFD) also a benefit. Experience with simulation tools such as Abaqus, Ansys, LS-Dyna, Moldflow, Moldex3D, or similar. The ideal candidate will be familiar with the Dassault 3DEXPERIENCE platform, and modern digital workflows. Understanding of plastics, material behaviour, and manufacturing processes (injection moulding, assembly). Experience using CAD tools (NX preferred) and working within data-managed environments (PLM). Knowledge of Design of Experiments (DOE), statistical analysis and data interpretation. Exposure to scripting, automation, digital integration, and AI approaches is desirable. We would be looking for a candidate with 3-5+ years of experience as a simulation engineer in either an in-house engineering team or engineering consultancy. ABOUT YOU Analytical and curious mindset, able to translate complex technical challenges into clear insights. Strong collaborator, working effectively across multi-disciplinary teams. Clear communicator, able to simplify complex outputs into actionable recommendations. A passion for High Performance and continuous improvement. A Talent Catalyst who contributes to team capability and knowledge sharing. Agile and adaptable, able to manage multiple projects and priorities. Proactive, with a drive to explore new tools, methods and technologies. Detail-oriented with strong problem-solving skills. APPLICATION DETAILS Please send us a short statement outlining why you would be a great fit for the role, along with your CV. Where possible, include examples of work demonstrating simulation, engineering analysis, or data-driven problem solving. **What We Offer** Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment. Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities, and growing together for better business performance. We want to push boundaries, and have the flexibility needed to keep adapting in an ever-changing, more dynamic world. This means giving full and fair consideration to all applicants, regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. As part of your hiring journey, we are happy to support requests for reasonable adjustments, to improve your recruitment experience. To find out more, including more information about our Employee Resource Groups, please click [here](https://www.unilever.co.uk/planet-and-society/equity-diversity-inclusion-at-unilever-uki/). **Recruitment Fraud** Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money. In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs. These types of attacks are becoming more common as more people are looking for employment in the economic climate. **How is Unilever tackling this?** Many of Unilever’s recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down. **What can I do?** If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat. Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!", "summaryDescription" : "Packaging Simulation Engineer at Unilever. Skills: Packaging simulation, Digital engineering, Predictive engineering. Apply simulation tools. Predict packaging performance", "postedDate" : "2026-06-09T15:25:20.481", "createdAt" : "2026-06-11T15:25:20.334", "lastUpdated" : "2026-06-13T18:53:56.008", "ingestTimestamp" : "2026-06-11T15:25:20.334", "mongoId" : "6a2a432474d8ee00a05cd3c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://unilever.wd3.myworkdayjobs.com/UK_TemporaryWorkersite/job/Leeds-Office-and-RD/Packaging-Simulation-Engineer_R-1182482-1", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Simulation strategy", "Design requirements translation", "Simulation model validation", "Physical testing correlation", "Materials characterisation", "Design of Experiments", "Statistical approaches", "Analytical mindset", "Curious mindset", "Agile", "Packaging simulation", "Digital engineering", "Predictive engineering", "Digital simulation", "Design optimization", "Product development", "Injection molding", "Statistical analysis", "Data interpretation", "Innovation projects", "Capability projects", "Deodorant packaging", "Personal Care brands", "Plastics", "Material behaviour", "Manufacturing processes", "Injection moulding", "Assembly", "Dassault 3DEXPERIENCE", "NX", "Abaqus", "Ansys", "LS-Dyna", "Moldflow", "Moldex3D" ], "skillCount" : 35, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 832.7236, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Goods" }, { "id" : "68b706997fc9a711f0f6fe6f", "title" : "Flight Dynamics Operations Engineer, Project Kuiper", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, alexa and amazon devices", "salary" : { "min" : 116300.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T03:42:17.951", "fingerprint" : "715edb253650ea80a741a896d886fbf2708d41493aefa55e38bf3f431ad830e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051419/apply", "externalId" : "bec402e8-64d6-41a1-83cc-55c0b3e63f8e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Science", "technicalSkills" : "Python, C++, Java, Cloud computing, Distributed systems, Data pipelines, Machine learning, Robotics, Manufacturing systems, AWS, GCP, Azure", "professionalSkills" : [ "System design", "Data modeling", "Algorithm design" ], "hardSkillsList" : [ "Software development", "Cloud computing", "Distributed systems", "Data pipelines", "Machine learning", "Robotics", "Manufacturing systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Robotics", "level" : "intermediate" }, { "name" : "Manufacturing systems", "level" : "intermediate" } ], "majorSkills" : "Software development, Cloud computing, Machine learning", "majorSkillsList" : [ "Software development", "Cloud computing", "Machine learning" ], "coreResponsibilities" : "Design and implement software solutions, Develop and maintain data pipelines, Build and deploy machine learning models, Work with robotics and manufacturing systems, Collaborate with cross-functional teams, Troubleshoot and debug software issues, Optimize system performance, Contribute to system architecture", "teamCollaboration" : "Cross-functional teams; Software development teams; Robotics teams; Manufacturing teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Robotics; Manufacturing systems; Distributed systems; Cloud-native architecture", "domainList" : [ "robotics", "manufacturing-systems", "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Robotics", "Manufacturing systems", "Distributed systems", "Cloud-native architecture" ], "toolProficiency" : [ "AWS", "GCP", "Azure", "Docker", "Kubernetes" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Troubleshooting; Debugging; Root cause analysis", "outcomesObjectives" : "Deliver high-quality software; Improve system efficiency; Advance robotics capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in software development, Experience with cloud computing platforms, Experience with distributed systems, Experience with data pipelines, Experience with machine learning", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing, Experience with robotics, Experience with manufacturing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. We are searching for a candidate with operations software systems and engineering skills to support spaceflight operations and ground systems software development. This position requires expertise in software systems development for operations applications and engineering expertise in multi-disciplinary environments. Satellite operations experience is preferred. The Kuiper Flight Dynamics Operations team supports the mission operations for the Kuiper LEO Constellation. Working with the Kuiper engineering team, you will: • Support software development efforts to improve the Kuiper Flight Dynamics System. • Support transition from human operations-centric processes to automated workflow for flight dynamics tasks such as navigation and maneuver planning. • Support novel solutions to manage the risk posed by conjunction traffic in Low Earth Orbit. • Work closely with Guidance, Navigation and Control (GNC) engineers to manage on-orbit performance and develop flight dynamics operations process improvements. Basic Qualifications: - Bachelor of Science degree in Aerospace or Mechanical engineering, Applied Mathematics, Physics, or Computer Science. - Experience in operating and developing engineering tools - Basic understanding of the flight dynamics engineering roles such as orbit analysis, trajectory calculation, orbit determination, and operations Preferred Qualifications: - Experience in satellite operations - Experience in ground systems development of satellite operations systems - Experience in any of the operations roles in satellite navigation, conjunction risk assessment, and maneuver planning. - Experience in cloud-based software systems development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Flight Dynamics Operations Engineer, Project Kuiper at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Software development, Cloud computing, Machine learning. Design and implement software solutions. Develop and maintain data pipelines", "postedDate" : "2026-06-13T19:06:39.286", "createdAt" : "2026-06-13T19:06:39.286", "lastUpdated" : "2026-06-15T03:42:17.951", "ingestTimestamp" : "2026-06-13T19:06:39.286", "mongoId" : "68b706997fc9a711f0f6fe6f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051419/apply", "salaryAnnualMin" : 116300, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "Distributed systems", "Data pipelines", "Machine learning", "Robotics", "Manufacturing systems", "System design", "Data modeling", "Algorithm design", "Agile methodologies", "Cloud-native architecture", "AWS", "GCP", "Azure", "Docker", "Kubernetes" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 823.21515, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a26487574d8ee00a02174f7", "title" : "Engineer--Flight dynamics", "company" : "Airbus India Private Limited", "salary" : { "min" : 1750000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineer--Flight dynamics in India, adjusted for mid-seniority, full-time employment, and the aerospace industry in 2024-2025." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-12T21:12:35.758", "fingerprint" : "d02c21339ce19964ecdeda393d1528891acb5d7e9be75de09ebdb6db73302b0d", "source" : "workday", "language" : "en", "applyUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Bangalore-Area/Engineer--Flight-dynamics_JR10417914", "externalId" : "JR10417914", "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Professional", "technicalSkills" : "C, MATLAB, Python, UNIX, Flight mechanics, Aerodynamics", "professionalSkills" : [ "Flight dynamics analysis" ], "hardSkillsList" : [ "Aircraft models Integration", "Flight dynamics analysis", "System models integration", "Validation of models" ], "softSkillsList" : [ "Teamwork", "Problem-solving orientation" ], "hardSkills" : [ { "name" : "Aircraft models Integration", "level" : "intermediate" }, { "name" : "Flight dynamics analysis", "level" : "intermediate" }, { "name" : "System models integration", "level" : "intermediate" }, { "name" : "Validation of models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" }, { "name" : "Problem-solving orientation" } ], "majorSkills" : "Flight mechanics, Aerodynamics, Simulation platforms", "majorSkillsList" : [ "Flight mechanics", "Aerodynamics", "Simulation platforms" ], "coreResponsibilities" : "Integrate flight dynamics models, Integrate system models, Validate system models, Validate physics models, Study flight dynamics behaviour, Contribute to validation plan, Support simulation platform users", "teamCollaboration" : "Teamwork (high priority!)", "domainKnowledge" : "Aircraft behaviour; Aircraft motion", "domainList" : [ "aircraft-behaviour", "aircraft-motion" ], "domainSpecificKnowledge" : [ "Aircraft behaviour", "Aircraft motion" ], "communicationSkills" : "Good communication skills", "continuousLearning" : "Willingness to learn new skills; Self-development", "problemSolvingSkills" : "Problem-solving orientation", "qualificationsBasic" : "Bachelors/Masters degree in Aeronautical engineering or related disciplines, Flight mechanics, Aerodynamics, Programming skills in C, Programming skills in MATLAB, Programming skills in Python, Programming skills in UNIX", "qualificationsPreferred" : "Knowledge on Modeling and Simulation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "****Job Description:**** ****Job Code:** Engineer - Flight Dynamics** **** ****Job Description:**** **The activities include (but not limited to)** **Aircraft models Integration on simulation platforms** **Flight dynamics analysis to estimate the aircraft behaviour and motion** **End to end validation of Aircraft simulation** ******** ****A brief description of the activities is given below**** * **Integration of the flight dynamics models and the system models using Airbus standard methods & tools** * **Validation of the system and physics models integrated on the target simulation platforms** * **Study the flight dynamics behaviour due to the evolutions of the aircraft physics and the system models** * **Contribute to the evolution of the validation plan to meet the expected functional perimeter coverage** * **Support the simulation platform end-users** ******** ****Education & Experience**** * **Bachelors/Masters degree in Aeronautical engineering or related disciplines** ******** ****Required Technical Expertise:**** * **Flight mechanics** * **Aerodynamics** * **Knowledge on Modeling and Simulation (nice to have)** * **Programming skills in C, MATLAB, Python, UNIX** ******** ****Soft Skills**** **· Teamwork (high priority!)** **· Good communication skills** **· Willingness to learn new skills, self-development** **· Problem-solving orientation** This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus India Private Limited **Employment Type:** Permanent \\------- **Experience Level:** Professional **Job Family:** Flight & Space Physics By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "Engineer--Flight dynamics at Airbus India Private Limited. Skills: Flight mechanics, Aerodynamics, Simulation platforms. Integrate flight dynamics models. Integrate system models", "postedDate" : "2026-06-09T14:02:40.549", "createdAt" : "2026-06-11T14:02:40.543", "lastUpdated" : "2026-06-12T21:12:35.758", "ingestTimestamp" : "2026-06-11T14:02:40.543", "mongoId" : "6a26487574d8ee00a02174f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Bangalore-Area/Engineer--Flight-dynamics_JR10417914", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Aircraft models Integration", "Flight dynamics analysis", "System models integration", "Validation of models", "Teamwork", "Problem-solving orientation", "Flight mechanics", "Aerodynamics", "Simulation platforms", "Aircraft behaviour", "Aircraft motion" ], "skillCount" : 11, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 822.8486, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c7dc574d8ee00a0950cce", "title" : "Thermal Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1300000.0, "max" : 1950000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Thermal Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T07:39:24.694", "fingerprint" : "9557f02a21a36f4f806189eaf9058ebf75c3ee4e0e9c67de59d1c3be4de5f147", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187104009", "externalId" : "4187104009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "FloTHERM XT", "professionalSkills" : [ "Systems-level thermal engineering", "Design ownership", "Scalable evaluation methods", "Toolchain development", "Data-driven modeling", "Simulation correlation", "Targeted validation" ], "hardSkillsList" : [ "Thermal management", "Heat transfer", "Fluid dynamics", "Thermodynamics", "Thermal experiment design", "Thermal experiment setup", "Thermal simulation" ], "softSkillsList" : [ "Authentic curiosity", "Design responsibility" ], "hardSkills" : [ { "name" : "Thermal management", "level" : "intermediate" }, { "name" : "Heat transfer", "level" : "intermediate" }, { "name" : "Fluid dynamics", "level" : "intermediate" }, { "name" : "Thermodynamics", "level" : "intermediate" }, { "name" : "Thermal experiment design", "level" : "intermediate" }, { "name" : "Thermal experiment setup", "level" : "intermediate" }, { "name" : "Thermal simulation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Authentic curiosity" }, { "name" : "Design responsibility" } ], "majorSkills" : "Thermal engineering, Heat transfer, Fluid dynamics", "majorSkillsList" : [ "Thermal engineering", "Heat transfer", "Fluid dynamics" ], "coreResponsibilities" : "Own end-to-end thermal design, Translate user stories into thermal requirements, Translate platform power scenarios into thermal requirements, Drive early risk identification, Drive design direction through analysis, Drive design direction through simulation, Correlate simulation to validation results, Continuously improve model fidelity, Continuously improve prediction confidence", "teamCollaboration" : "Cross-functional partners", "domainKnowledge" : "Thermal management principles; Heat transfer; Fluid dynamics; Thermodynamics; RF environments", "domainList" : [ "thermal-management-principles", "heat-transfer", "fluid-dynamics", "thermodynamics", "rf-environments" ], "domainSpecificKnowledge" : [ "Thermal management principles", "Heat transfer", "Fluid dynamics", "Thermodynamics", "RF environments" ], "toolProficiency" : [ "FloTHERM XT" ], "problemSolvingSkills" : "Data-driven analysis; Simulation correlation; Model fidelity improvement", "outcomesObjectives" : "Reducing risk; Improving predictability; Accelerating informed decisions", "qualificationsBasic" : "Master's degree in Mechanical Engineering, 3+ years experience as thermal engineer, Understanding of thermal management principles, Understanding of heat transfer, Understanding of fluid dynamics, Extensive experience in thermal experiment design, Extensive experience in thermal experiment setup, Experience with thermal simulation tools, Deep understanding of thermodynamics, Deep understanding of fluid dynamics, Deep understanding of heat transfer principles", "qualificationsPreferred" : "Familiar with hardware and software integration, Familiar with mechanical design, Familiar with building mockups, Experience with prototyping, Experience evaluating physical models, Proficiency in setting up RF environments, Proficiency in working within RF environments, 5 yrs+ working experience as thermal engineer", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As part of the PDSA (Product Design Simulation Analysis) Thermal team, you will be a key technical contributor shaping product direction through systems-level thermal engineering. You will lead thermal ownership from early concept planning and trade-offs to detailed implementation, working in tight collaboration with cross-functional partners. You will establish scalable evaluation methods and toolchains to assess thermal behavior across each stage of development. By translating user stories into measurable requirements and actionable design criteria, you will define an end-to-end thermal strategy and drive it to closure through data-driven modeling, simulation correlation, and targeted validation—reducing risk, improving predictability, and accelerating informed decisions. Responsibilities Own end-to-end thermal design from early concept/architecture trade-offs through detailed implementation. Translate user stories and platform power scenarios into thermal requirements, constraints, and success criteria. Drive early risk identification and design direction through data-driven analysis and simulation. Correlate simulation to validation results and continuously improve model fidelity and prediction confidence. Requirement Master’s degree in Mechanical Engineering, Thermal Engineering, or a related field. At least 3 years+ experience as a thermal engineer in design and validation. Strong understanding of thermal management principles, heat transfer, and fluid dynamics. Extensive experience in thermal experiment design and setup. Experience with thermal simulation tools such as FloTHERM XT, or similar. Deep understanding of thermodynamics, fluid dynamics, and heat transfer principles. Authentic curiosity paired with a strong sense of design responsibility. Preferred Qualifications Familiar with hardware and software integration for thermal management solutions. Familiar with mechanical design and building mockups, including experience with prototyping and evaluating physical models for thermal performance. Proficiency in setting up and working within RF (Radio Frequency) environments. 5 yrs+ working experience as a thermal engineer in design and validation.", "summaryDescription" : "Thermal Engineer at Ubiquiti. Skills: Thermal engineering, Heat transfer, Fluid dynamics. Own end-to-end thermal design. Translate user stories into thermal requirements", "postedDate" : "2026-06-13T20:33:20.641", "createdAt" : "2026-06-13T20:33:20.641", "lastUpdated" : "2026-06-15T07:39:24.694", "ingestTimestamp" : "2026-06-13T20:33:20.641", "mongoId" : "6a2c7dc574d8ee00a0950cce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Thermal management", "Heat transfer", "Fluid dynamics", "Thermodynamics", "Thermal experiment design", "Thermal experiment setup", "Thermal simulation", "Authentic curiosity", "Design responsibility", "Thermal engineering", "Systems-level thermal engineering", "Design ownership", "Scalable evaluation methods", "Toolchain development", "Data-driven modeling", "Simulation correlation", "Targeted validation", "Thermal management principles", "RF environments", "FloTHERM XT" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 817.4285, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79bc74d8ee00a0942b86", "title" : "Dynamics 365 Finance & Operations (F&O) Analyst", "company" : "Holder Construction", "industry" : "Construction", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Dynamics 365 F&O Analyst in Atlanta, adjusted for the construction industry and company size." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta", "GA" ], "timestamp" : "2026-06-15T22:24:15.658", "fingerprint" : "01ae7284b93fe7246984d856873939dffa7f786a7744625d77093c1be29d0948", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/holderconstruction/jobs/4260692009", "externalId" : "4260692009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Dynamics 365, Microsoft Dynamics 365, Microsoft Power Platform", "professionalSkills" : [ "System administration", "Process improvement", "Business requirements gathering", "Functional testing", "Regression testing", "System optimization" ], "hardSkillsList" : [ "System configuration", "Security roles", "Automated testing scripts" ], "hardSkills" : [ { "name" : "System configuration", "level" : "intermediate" }, { "name" : "Security roles", "level" : "intermediate" }, { "name" : "Automated testing scripts", "level" : "intermediate" } ], "majorSkills" : "Dynamics 365 F&O, Business analysis, System administration", "majorSkillsList" : [ "Dynamics 365 F&O", "Business analysis", "System administration" ], "coreResponsibilities" : "Support daily administration, Provide end-user support, Configure system settings, Identify process improvements, Support system enhancements, Support system optimization, Gather business requirements, Document business requirements, Translate requirements into functional needs, Act as liaison, Coordinate functional testing, Perform functional testing, Support UAT, Support deployment, Support system releases, Perform regression testing, Maintain RSAT automation scripts, Monitor system performance, Track issues, Drive continuous improvement", "teamCollaboration" : "Business stakeholders; Third-party consultants; Technical teams; Business teams", "domainKnowledge" : "Finance functions; Accounting functions; GL; AP; AR", "domainList" : [ "finance-functions", "accounting-functions", "gl", "ap", "ar" ], "domainSpecificKnowledge" : [ "Finance functions", "Accounting functions", "GL", "AP", "AR" ], "toolProficiency" : [ "RSAT", "Azure DevOps" ], "communicationSkills" : "Work across teams", "documentationSkills" : "Document business requirements; Document functional specifications", "problemSolvingSkills" : "Troubleshooting system issues", "qualificationsBasic" : "Exposure to finance/accounting functions, Interest in troubleshooting system issues, Support end users, Analytical skills, Problem-solving skills, Organizational skills, Communication skills", "qualificationsPreferred" : "2–3 years experience supporting Dynamics 365 F&O, Familiarity with RSAT, Experience with Azure DevOps, Experience documenting business requirements, Experience documenting functional specifications, Exposure to integrations, Exposure to data management, Exposure to Microsoft Power Platform", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Holder Construction is a nationally recognized leader in the construction industry, consistently ranked among the top firms on ENR’s Top 400 Contractors list. We are a performance-driven company that believes in rewarding excellence and investing in our people. Our structured career development program empowers associates to grow quickly into expanded roles and responsibilities based on merit. With operations throughout the United States, we offer a highly competitive compensation and benefits package, including: Annual bonus program Paid time off Health, dental, vision, and life insurance 401(k)-retirement plan Night and swing shift differential pay for select roles About the Role We are looking for a Business Analyst to join our Information Technology team in our regional office in Atlanta,GA. This is a full-time, in-person position. We are looking for a Dynamics 365 Finance & Operations (F&O) Analyst to support the administration, enhancement, and ongoing optimization of our Microsoft Dynamics 365 Finance & Operations (F&O) platform. Working under the direction of a Senior Manager within IT, this role partners closely with finance and operational teams to improve system functionality, streamline business processes, and ensure stable, reliable performance. Key Responsibilities Support daily administration and end-user support for the Dynamics 365 F&O platform. Configure system settings, including legal entities and security roles/permissions. Identify and support process improvements, enhancements, and system optimization. Gather and document business requirements and translate them into functional needs. Act as a liaison between business stakeholders and third-party consultants to deliver system changes. Coordinate and perform functional testing, including UAT and deployment support. Support system releases, regression testing, and maintain RSAT automation scripts. Monitor system performance, track issues, and help drive continuous improvement. Qualifications Required: Exposure to finance/accounting functions (e.g., GL, AP, AR). Interest in troubleshooting system issues and supporting end users. Strong analytical, problem-solving, and organizational skills. Strong communication skills with the ability to work across technical and business teams. This position is fully in-office. Preferred: 2–3 years of experience supporting Microsoft Dynamics 365 Finance & Operations (or Dynamics AX). Familiarity with RSAT or other automated testing tools. Experience with Azure DevOps (or similar work tracking tools). Experience documenting business requirements and/or functional specifications. Exposure to integrations, data management, or Microsoft Power Platform. Holder is committed to Equal Opportunity Employment (EOE). Substance abuse testing and a background screening is a condition of employment and Holder Construction does not sponsor applicants for immigration status or benefits.", "summaryDescription" : "Dynamics 365 Finance & Operations (F&O) Analyst at Holder Construction. Skills: Dynamics 365 F&O, Business analysis, System administration. Support daily administration. Provide end-user support", "postedDate" : "2026-06-14T18:11:03.470", "createdAt" : "2026-06-14T18:11:03.470", "lastUpdated" : "2026-06-15T22:24:15.658", "ingestTimestamp" : "2026-06-14T18:11:03.470", "mongoId" : "6a2c79bc74d8ee00a0942b86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "System configuration", "Security roles", "Automated testing scripts", "Dynamics 365 F&O", "Business analysis", "System administration", "Process improvement", "Business requirements gathering", "Functional testing", "Regression testing", "System optimization", "Finance functions", "Accounting functions", "GL", "AP", "AR", "RSAT", "Azure DevOps" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 816.5893, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cb21174d8ee00a09dfed4", "title" : "Staff Engineer, ERP Dynamics", "industry" : "IT", "location" : "India", "locations" : [ "India" ], "certifications" : [ ], "timestamp" : "2026-06-15T08:43:17.319", "fingerprint" : "b3d89602f0736d2a738e4e262a8ac85ef4615535a1ccf06a7e3853c4c946496d", "source" : "lever", "applyUrl" : "https://jobs.lever.co/jobgether/37ce9440-0989-4faf-990d-5cf73ab47104/apply", "externalId" : "37ce9440-0989-4faf-990d-5cf73ab47104", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 6, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Microsoft Dynamics ERP", "professionalSkills" : [ "Microsoft Dynamics ERP platforms and enterprise application ecosystems." ], "hardSkillsList" : [ "Microsoft Dynamics ERP", "ERP architecture", "ERP development", "ERP customization", "ERP integration", "ERP deployment", "software engineering principles", "enterprise architecture", "system design" ], "softSkillsList" : [ "stakeholder management, collaboration, innovation" ], "hardSkills" : [ { "name" : "Microsoft Dynamics ERP", "level" : "intermediate" }, { "name" : "ERP architecture", "level" : "intermediate" }, { "name" : "ERP development", "level" : "intermediate" }, { "name" : "ERP customization", "level" : "intermediate" }, { "name" : "ERP integration", "level" : "intermediate" }, { "name" : "ERP deployment", "level" : "intermediate" }, { "name" : "software engineering principles", "level" : "intermediate" }, { "name" : "enterprise architecture", "level" : "intermediate" }, { "name" : "system design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "stakeholder management, collaboration, innovation" } ], "majorSkills" : "Microsoft Dynamics ERP, ERP architecture, technical leadership, system design, stakeholder management", "majorSkillsList" : [ "Microsoft Dynamics ERP, ERP architecture, technical leadership, system design, stakeholder management" ], "coreResponsibilities" : "Lead the architecture, design, and implementation of Microsoft Dynamics ERP solutions. Provide technical leadership across ERP initiatives. Drive system integration, customization, and optimization efforts. Establish and promote engineering best practices. Review technical designs and implementations. Mentor engineers. Contribute to strategic planning and technology roadmaps.", "teamCollaboration" : "Collaborate with business stakeholders, architects, and development teams. Ability to thrive in collaborative environments.", "projectManagementSkills" : [ "technical leadership" ], "communicationSkills" : "communication; stakeholder management", "continuousLearning" : "Continuous learning, certification, and professional development opportunities.", "innovationCreativity" : "Collaborative and innovation-driven engineering culture. Access to cutting-edge technologies.", "problemSolvingSkills" : "system design; analytical; problem-solving", "specialRequirements" : "Ability to thrive in fast-paced, collaborative, and dynamic environments.", "outcomesObjectives" : "Ensure scalable, secure, and maintainable solution delivery. Ensure performance, reliability, and long-term sustainability of solutions. Contribute to enterprise transformation initiatives.", "qualificationsBasic" : "Extensive experience working with Microsoft Dynamics ERP platforms and enterprise application ecosystems. Expertise in ERP architecture, development, customization, integration, and deployment. Proven experience leading complex enterprise technology projects and technical teams. Deep understanding of software engineering principles, enterprise architecture, and system design best practices. Experience integrating ERP solutions with business-critical applications and third-party platforms. Analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Demonstrated ability to mentor teams and influence technical decision-making. Experience working in large-scale digital transformation or enterprise modernization programs. 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Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Staff Engineer, ERP Dynamics. Skills: Microsoft Dynamics ERP, ERP architecture, technical leadership, system design, stakeholder management. Lead the architecture, design, and implementation of Microsoft Dynamics ERP solutions. 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], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Parallel computing, Runtime applications, GPU computing", "majorSkillsList" : [ "Parallel computing", "Runtime applications", "GPU computing" ], "coreResponsibilities" : "Design low-latency solutions, Implement low-latency solutions, Design scalable solutions, Implement scalable solutions, Decompose production simulations, Distribute production simulations, Increase simulation throughput, Expand simulation capabilities, Support global deployment", "teamCollaboration" : "Cross-functional teams; Physicists; AI researchers; Software Engineers; Computational Geometry experts", "domainKnowledge" : "Scientific computing; Boundary decomposition; Parallel computing; HPC runtime; ML basics; Cloud-native architecture", "domainList" : [ "scientific-computing", "boundary-decomposition", "parallel-computing", "hpc-runtime", "ml-basics", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Scientific computing", "Boundary 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MISSION At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realistic production workloads. - Trained on PetaBytes of structured physics data - Running billion-voxel inference in production - Tier-1 semiconductor and hardware customers - Operating across multiple physical scales and operator regimes We are scaling deployment at industrial magnitude: - Increase simulation throughput by two orders of magnitude - Expand simulation capabilities to maximize utility and domain coverage - Support global, multi-entity deployment across Tier-1 ecosystems Our ambition is to become the default operator intelligence layer that hardware companies run on. SIMULATION RUNTIME Mapping a computational problem to a runtime environment is the engine of our product. Making our simulations run fast across heterogeneous compute platforms while retaining accuracy is at the center of our value proposition to customers. Delivering involves overcoming many challenges; efficient data sharing or customizing inference and math to bespoke runtime hardware. The value: making Vinci Simulations run effectively regardless of the hardware: from a single desktop to multi-gpu clusters that span global data center sites. This kind of compute platform flexibility means simulations are easier to run and complete faster when hardware permits. The ability to losslessly divvy up simulations across large scale compute resources will unlock new utility for our customers and power larger more useful applications. WHAT YOU WILL DO Your north star will be parallelism and correctness. In this role you will design and implement low-latency, scalable solutions to decompose and distribute our production simulations across the most challenging computational boundaries; - Multi-GPU machines - Multi-Node clusters - Networked nodes WHAT WE’RE LOOKING FOR Being successful in this role requires a deep understanding of scientific computing methods, boundary decomposition problems, and parallel computing. Qualifications; - Experience working on High Performance Computing runtime applications - Experience with any of highly parallel computing frameworks; - MPI, MPICH, ZMQ, OpenMP - Experience with GPU Programming; Cuda, ROCM, Triton - Have contributed to a production data processing system. - Familiarity with Statistical validation methods - Outlier detection, Bayes method, convergence criterion for nonlinear solvers - Familiarity with ML basics - back prop, loss functions, generators, embeddings, transformer models We are very excited to talk with you if you have - Worked on highly performant deployed inference environments - Have shipped HPC library components - Experience going from early stage prototype moving to a production environment - At a Startup or National Lab - Experience with highly parallel ML training frameworks such as Ray ENGINEERING EXPECTATIONS - Software engineering fundamentals - Comfortable meeting software design standards to get code into a production environment. - A practical approach to prototyping necessary components that are currently missing. - Strong CI, regression testing, and validation discipline - Comfort learning and evolving model deployment & runtime infrastructure WHY VINCI Join a rare early-stage startup that has successfully moved a foundational product from research to real-world, production environments, already serving Tier-1 semiconductor and hardware customers. Our Mission & Impact Vinci is building the operator intelligence infrastructure that modern hardware programs rely on daily. We are scaling our solution to accelerate design validation from hours to seconds. You will contribute to expanding our unified model architecture, which currently runs billion-voxel inference, into the transient domain—a key frontier in modeling interactions, deformation, and dynamics. Our ambition is to become the default operator intelligence layer for hardware companies. Growth & Opportunity This is a unique opportunity for technical and professional growth, as you will define a foundational abstraction layer early in the company's trajectory. The team is small, friendly, and accessible. You will be empowered to \"own and architect large pieces of the system\" alongside a team of Physicists, AI researchers, Software Engineers, and Computational Geometry experts. This includes greenfield opportunities to expand Vinci’s core capabilities. Leadership You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik Kabaria, whose vision is to greatly accelerate physics simulations with ML while retaining solver grade accuracy.", "summaryDescription" : "Simulation Runtime Software Engineer (Senior) at Vinci. Skills: Parallel computing, Runtime applications, GPU computing. Design low-latency solutions. 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Functional teams and individuals; Internal teams; Outside vendors", "domainKnowledge" : "Last Mile network; Delivery stations; Discrete Event Simulation (DES)", "domainList" : [ "last-mile-network", "delivery-stations", "discrete-event-simulation-des" ], "domainSpecificKnowledge" : [ "Last Mile network", "Delivery stations", "Discrete Event Simulation (DES)" ], "toolProficiency" : [ "Flexsim", "Anylogic", "Emulate 3D", "Demo 3D" ], "communicationSkills" : "Synthesize insights; Communicate recommendations", "documentationSkills" : "Technical documents", "innovationCreativity" : "Drive innovation; Blue-sky role; Think big", "problemSolvingSkills" : "Deep dive into complex problems; Pragmatic problem solver", "qualificationsBasic" : "PhD or Master's degree, 4+ years quantitative field research, Investigate scientific principles feasibility, Analyze experimental data sets, Analyze observational data sets", "qualificationsPreferred" : "Knowledge of R, MATLAB, Python, Experience with agile development, Experience building web dashboards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Last Mile Solutions Engineering team. WW AMZL Solutions Engineering team is looking to build out our Senior Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you’re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you’ve come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers. As a Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon. Key job responsibilities Key job responsibilities • Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages • Lead strategic modeling and simulation research projects to drive process design decisions • Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards • Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact • Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations • Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects • Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments • Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline • Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices • Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms • Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout • Deliver results according to project schedules and quality A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience analyzing both experimental and observational data sets Preferred Qualifications: - Knowledge of R, MATLAB, Python or similar scripting language - Experience with agile development - Experience building web based dashboards using common frameworks Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Simulation Scientist at Amazon.com Services LLC. Skills: Simulation, Data science, Process optimization. Lead design of simulation data science solutions. Perform system of systems discrete event simulations", "postedDate" : "2026-06-13T17:07:57.097", "createdAt" : "2026-06-13T17:07:57.097", "lastUpdated" : "2026-06-15T05:55:27.301", "ingestTimestamp" : "2026-06-13T17:07:57.097", "mongoId" : "68b706987fc9a711f0f6fd8e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053706/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Discrete event simulations", "Modeling algorithms", "Statistical analysis", "Data analysis", "Leadership", "Mentoring", "Simulation", "Data science", "Process optimization", "Simulation science", "Process design", "Optimization algorithms", "Last Mile network", "Delivery stations", "Discrete Event Simulation (DES)", "Flexsim", "Anylogic", "Emulate 3D", "Demo 3D" ], "skillCount" : 19, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 797.2287, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2b080274d8ee00a0757b56", "title" : "Packaging Simulation Engineer", "company" : "Unilever", "industry" : "Consumer Goods", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Packaging Simulation Engineer in the consumer goods industry in Leeds, United Kingdom, adjusted for company size and industry." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-15T00:47:13.241", "fingerprint" : "80cf391648d5501e79c1b2204fe830a4fab03c37d6d712b12e312d0d60f03982", "source" : "workday", "language" : "en", "applyUrl" : "https://unilever.wd3.myworkdayjobs.com/Unilever_Experienced_Professionals/job/Leeds-Office-and-RD/Packaging-Simulation-Engineer_R-1182482", "externalId" : "R-1182482", "industryFunction" : { }, "locationPoint" : "55.3781,-3.436", "structuredLocations" : [ { "city" : "Leeds", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.7974185,-1.5437941" } ], "locationText" : "Leeds, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Finite Element Analysis, Computational Fluid Dynamics, Abaqus, Ansys, LS-Dyna, Moldflow, Moldex3D, 3DEXPERIENCE, NX, DOE", "professionalSkills" : [ "Predictive engineering", "Digital simulation", "Design optimization", "Product development", "Injection molding", "Materials characterisation", "Statistical analysis", "Data interpretation" ], "hardSkillsList" : [ "Simulation strategy", "Simulation plans", "Design of Experiments", "Statistical approaches", "Data-driven insights", "Technical guidance" ], "softSkillsList" : [ "Analytical mindset", "Curious mindset", "Agile" ], "hardSkills" : [ { "name" : "Simulation strategy", "level" : "intermediate" }, { "name" : "Simulation plans", "level" : "intermediate" }, { "name" : "Design of Experiments", "level" : "intermediate" }, { "name" : "Statistical approaches", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Technical guidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Curious mindset" }, { "name" : "Agile" } ], "majorSkills" : "Packaging simulation, Digital engineering, Predictive engineering", "majorSkillsList" : [ "Packaging simulation", "Digital engineering", "Predictive engineering" ], "coreResponsibilities" : "Apply simulation tools, Predict packaging performance, Optimise packaging performance, Predict component strength, Predict deformation, Predict durability, Predict user interactions, Predict injection molding, Build simulation strategies, Execute simulation strategies, Onboard simulation models, Translate design requirements, Generate simulation plans, Generate insight from results, Communicate recommendations, Partner with Design Engineers, Guide concepts, Support integration of simulation, Validate simulation models, Correlate with physical testing, Use Design of Experiments, Use statistical approaches, Improve robustness, Reduce technical risk, Provide data-driven insights, Provide technical guidance, Collaborate with external partners, Guide external simulation partners, Contribute to capability building, Define best practices, Define workflows, Define future simulation strategies, Participate in Communities of Practice, Share knowledge", "teamCollaboration" : "Multi-disciplinary teams; Cross-category Communities; External simulation partners", "projectManagementSkills" : [ "Innovation projects", "Capability projects" ], "domainKnowledge" : "Deodorant packaging; Personal Care brands; Plastics; Material behaviour; Manufacturing processes; Injection moulding; Assembly", "domainList" : [ "deodorant-packaging", "personal-care-brands", "plastics", "material-behaviour", "manufacturing-processes", "injection-moulding", "assembly" ], "domainSpecificKnowledge" : [ "Deodorant packaging", "Personal Care brands", "Plastics", "Material behaviour", "Manufacturing processes", "Injection moulding", "Assembly" ], "toolProficiency" : [ "Dassault 3DEXPERIENCE", "NX", "Abaqus", "Ansys", "LS-Dyna", "Moldflow", "Moldex3D" ], "communicationSkills" : "Clear communicator; Simplify complex outputs", "continuousLearning" : "Capability building; Knowledge sharing", "innovationCreativity" : "Brand innovation; Digital technology; Packaging capability", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Deliver robust packaging; Deliver high-performing packaging; Deliver sustainable packaging; Enable faster learning; Reduce physical testing; Reduce mold iterations; Optimise designs for performance; Optimise designs for manufacturability; Optimise designs for consumer use; Strengthen design outcomes", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, 3-5+ years experience as simulation engineer, Understanding of Finite Element Analysis, Experience using CAD tools, Experience working within data-managed environments", "qualificationsPreferred" : "Computational Fluid Dynamics benefit, Familiar with Dassault 3DEXPERIENCE platform, Familiar with modern digital workflows, Exposure to scripting, Exposure to automation, Exposure to digital integration, Exposure to AI approaches", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Packaging Simulation Engineer Location: Leeds, UK The Deodorants category is a key part of the Unilever Personal Care Business Group. With a family of Power Brands – Rexona, Dove, Axe – which are critical growth drivers of the company. We are looking for a Packaging Simulation Engineer to help shape the future of deodorant packaging for some of the world’s most recognisable Personal Care brands. Job Purpose As a Packaging Simulation Engineer in Deodorants you will drive the application of predictive engineering and digital simulation to deliver robust, high-performing and sustainable packaging solutions. You will work across multiple innovation and capability projects, applying advanced simulation tools and digital methodologies to guide design decisions from early concept through to manufacture. By integrating simulation into the product development process, you will enable faster learning, reduce physical testing and mold iterations, and ensure designs are optimised for performance, manufacturability and consumer use. In order to deliver the greatest value for both the consumer and our brands, your role is to ensure technical rigour, generate insight from virtual testing, and translate this into clear recommendations that strengthen design outcomes. WHY JOIN UNILEVER DESIGN Joining Unilever Design means working within an ambitious, high-performing and collaborative team focused on delivering impactful brand innovation. You will operate in an agile, open-minded environment alongside passionate thinkers and doers, contributing to advancements across sustainability, digital technology, packaging capability and business growth. In Unilever, you will collaborate with multi-disciplinary teams and external partners to create value and meet consumer needs through meaningful and technically robust solutions. MAIN RESPONSIBILITIES Apply simulation and digital engineering tools to predict and optimise packaging performance. E.g. component strength, deformation, durability, user interactions (sensorials, haptics, acoustics), and injection molding. Build and execute simulation strategies using modern platforms (Dassault 3DEXPERIENCE), including the in-housing/onboarding of externally managed simulation models into said platform for reuse. Translate design requirements into robust simulation plans for innovation projects, supporting rapid and confident decision making. Generate insight from simulation results and clearly communicate recommendations to project teams and stakeholders. Partner with Design Engineers and Product Designers to influence concepts early and guide them towards manufacturable, high-performing solutions. Support the integration of simulation within the wider digital ecosystem (e.g. PLM platforms, Centralised digital teams, Digital R&D frameworks, HPC infrastructure). Validation of simulation models through correlation with physical testing, dimensional measurement and materials characterisation. Use Design of Experiments (DOE) and statistical approaches to improve robustness and reduce technical risk. Support project leaders by providing data-driven insights and technical guidance to aid decision making. Collaborate with and guide external simulation partners and agencies to deliver high-quality outputs. Contribute to capability building, defining best practices, workflows and future simulation strategies. Actively participate in cross-category Communities of Practice to share knowledge and drive excellence. SKILLS & EXPERIENCE Bachelor’s degree (or equivalent) in Mechanical Engineering, Design Engineering, Simulation, Materials or related discipline. Experience applying simulation in product or packaging development, ideally within FMCG or consumer products. Strong understanding of Finite Element Analysis (FEA). Computational Fluid Dynamics (CFD) also a benefit. Experience with simulation tools such as Abaqus, Ansys, LS-Dyna, Moldflow, Moldex3D, or similar. The ideal candidate will be familiar with the Dassault 3DEXPERIENCE platform, and modern digital workflows. Understanding of plastics, material behaviour, and manufacturing processes (injection moulding, assembly). Experience using CAD tools (NX preferred) and working within data-managed environments (PLM). Knowledge of Design of Experiments (DOE), statistical analysis and data interpretation. Exposure to scripting, automation, digital integration, and AI approaches is desirable. We would be looking for a candidate with 3-5+ years of experience as a simulation engineer in either an in-house engineering team or engineering consultancy. ABOUT YOU Analytical and curious mindset, able to translate complex technical challenges into clear insights. Strong collaborator, working effectively across multi-disciplinary teams. Clear communicator, able to simplify complex outputs into actionable recommendations. A passion for High Performance and continuous improvement. A Talent Catalyst who contributes to team capability and knowledge sharing. Agile and adaptable, able to manage multiple projects and priorities. Proactive, with a drive to explore new tools, methods and technologies. Detail-oriented with strong problem-solving skills. APPLICATION DETAILS Please send us a short statement outlining why you would be a great fit for the role, along with your CV. Where possible, include examples of work demonstrating simulation, engineering analysis, or data-driven problem solving. **What We Offer** Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment. Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities, and growing together for better business performance. We want to push boundaries, and have the flexibility needed to keep adapting in an ever-changing, more dynamic world. This means giving full and fair consideration to all applicants, regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. As part of your hiring journey, we are happy to support requests for reasonable adjustments, to improve your recruitment experience. To find out more, including more information about our Employee Resource Groups, please click [here](https://www.unilever.co.uk/planet-and-society/equity-diversity-inclusion-at-unilever-uki/). **Recruitment Fraud** Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money. In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs. These types of attacks are becoming more common as more people are looking for employment in the economic climate. **How is Unilever tackling this?** Many of Unilever’s recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down. **What can I do?** If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat. Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!", "summaryDescription" : "Packaging Simulation Engineer at Unilever. Skills: Packaging simulation, Digital engineering, Predictive engineering. Apply simulation tools. Predict packaging performance", "postedDate" : "2026-06-09T07:08:53.268", "createdAt" : "2026-06-12T07:08:53.243", "lastUpdated" : "2026-06-15T00:47:13.241", "ingestTimestamp" : "2026-06-12T07:08:53.243", "mongoId" : "6a2b080274d8ee00a0757b56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://unilever.wd3.myworkdayjobs.com/Unilever_Experienced_Professionals/job/Leeds-Office-and-RD/Packaging-Simulation-Engineer_R-1182482", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Simulation strategy", "Simulation plans", "Design of Experiments", "Statistical approaches", "Data-driven insights", "Technical guidance", "Analytical mindset", "Curious mindset", "Agile", "Packaging simulation", "Digital engineering", "Predictive engineering", "Digital simulation", "Design optimization", "Product development", "Injection molding", "Materials characterisation", "Statistical analysis", "Data interpretation", "Innovation projects", "Capability projects", "Deodorant packaging", "Personal Care brands", "Plastics", "Material behaviour", "Manufacturing processes", "Injection moulding", "Assembly", "Dassault 3DEXPERIENCE", "NX", "Abaqus", "Ansys", "LS-Dyna", "Moldflow", "Moldex3D" ], "skillCount" : 35, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 797.2007, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Goods" }, { "id" : "6a2a7cc574d8ee00a066604f", "title" : "Systems Engineer - Simulation Correctness (Senior)", "company" : "Vinci", "industry" : "Engineering", "salary" : { "min" : 190000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto HQ", "locations" : [ "Palo Alto HQ" ], "timestamp" : "2026-06-12T22:06:32.274", "fingerprint" : "1bfff99fc3f7cbc39764acd7021d5496fdf3d22da10ada9e511abdefa599e2e0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vinci4d/2691196b-c9b6-4717-a85f-5de9824e6117/application", "externalId" : "2691196b-c9b6-4717-a85f-5de9824e6117", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "FEM, FEA, Molecular Dynamics, FDTD, Numerical Optimization, Convergence Criteria, Dampening approaches, back prop, loss functions, generators, embeddings, transformer models, Confidence intervals, uncertainty quantification, Bayes method", "professionalSkills" : [ "Simulation correctness", "Runtime evaluation", "Data driven argument", "Solver integration", "ML integration", "Production environment", "Systems engineering", "Validation discipline", "Architecture definition" ], "hardSkillsList" : [ "Physics simulators", "ML basics", "Statistics", "Data science methods", "Solver", "Numerical Optimization", "Convergence Criteria", "Dampening approaches", "back prop", "loss functions", "generators", "embeddings", "transformer models", "Confidence intervals", "uncertainty quantification", "Bayes method", "CI", "regression testing", "validation discipline" ], "hardSkills" : [ { "name" : "Physics simulators", "level" : "intermediate" }, { "name" : "ML basics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Data science methods", "level" : "intermediate" }, { "name" : "Solver", "level" : "intermediate" }, { "name" : "Numerical Optimization", "level" : "intermediate" }, { "name" : "Convergence Criteria", "level" : "intermediate" }, { "name" : "Dampening approaches", "level" : "intermediate" }, { "name" : "back prop", "level" : "intermediate" }, { "name" : "loss functions", "level" : "intermediate" }, { "name" : "generators", "level" : "intermediate" }, { "name" : "embeddings", "level" : "intermediate" }, { "name" : "transformer models", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "uncertainty quantification", "level" : "intermediate" }, { "name" : "Bayes method", "level" : "intermediate" }, { "name" : "CI", "level" : "intermediate" }, { "name" : "regression testing", "level" : "intermediate" }, { "name" : "validation discipline", "level" : "intermediate" } ], "majorSkills" : "Simulation correctness, Machine Learning, Physics simulation", "majorSkillsList" : [ "Simulation correctness", "Machine Learning", "Physics simulation" ], "coreResponsibilities" : "Validate simulation systems, Evaluate ML solutions, Evaluate Solver solutions, Build runtime evaluation mechanism, Develop data driven argument, Implement designs, Demonstrate validity, Run thousands of simulations, Find failure in haystack, Define architecture", "teamCollaboration" : "Working with Scientists; Working with Engineers; Interface of teams; Working with Physicists; Working with AI researchers; Working with Software Engineers; Working with Computational Geometry experts; Cross-functional teams", "domainKnowledge" : "Physics simulators; FEM; FEA; Molecular Dynamics; FDTD; Solver; Numerical Optimization; Convergence Criteria; Dampening approaches; ML basics; back prop; loss functions; generators; embeddings; transformer models; Statistics; Data science methods; Confidence intervals; uncertainty quantification; Bayes method; Robotics; Chip Manufacturing; Aerospace; Simulation for design; Data generation; ML system validation; Operator intelligence infrastructure; Physics data; Hardware programs; Physical scales; Operator regimes; Simulation throughput; Simulation capabilities; Hardware companies; Machine Learning; Numerical approaches; Physics simulations; Model architecture; Transient domain; Solver grade accuracy", "domainList" : [ "physics-simulators", "fem", "fea", "molecular-dynamics", "fdtd", "solver", "numerical-optimization", "convergence-criteria", "dampening-approaches", "ml-basics", "back-prop", "loss-functions", "generators", "embeddings", "transformer-models", "statistics", "data-science-methods", "confidence-intervals", "uncertainty-quantification", "bayes-method", "robotics", "chip-manufacturing", "aerospace", "simulation-for-design", "data-generation", "ml-system-validation", "operator-intelligence-infrastructure", "physics-data", "hardware-programs", "physical-scales", "operator-regimes", "simulation-throughput", "simulation-capabilities", "hardware-companies", "machine-learning", "numerical-approaches", "physics-simulations", "model-architecture", "transient-domain", "solver-grade-accuracy" ], "domainSpecificKnowledge" : [ "Physics simulators", "FEM", "FEA", "Molecular Dynamics", "FDTD", "Solver", "Numerical Optimization", "Convergence Criteria", "Dampening approaches", "ML basics", "back prop", "loss functions", "generators", "embeddings", "transformer models", "Statistics", "Data science methods", "Confidence intervals", "uncertainty quantification", "Bayes method", "Robotics", "Chip Manufacturing", "Aerospace", "Simulation for design", "Data generation", "ML system validation", "Operator intelligence infrastructure", "Physics data", "Hardware programs", "Physical scales", "Operator regimes", "Simulation throughput", "Simulation capabilities", "Hardware companies", "Machine Learning", "Numerical approaches", "Physics simulations", "Model architecture", "Transient domain", "Solver grade accuracy" ], "communicationSkills" : "Documentation; Communication", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Root cause analysis; Debugging; Troubleshooting", "outcomesObjectives" : "Increase simulation throughput; Expand simulation capabilities; Support global deployment", "qualificationsBasic" : "Prior experience using or building physics simulators, Experience as a systems engineer, Basic understanding of solver, Working knowledge of ML basics, Understanding of statistics and data science methods, Software engineering fundamentals, Excellent communication skills, Excellent documentation skills", "qualificationsPreferred" : "Worked as a Systems Engineer for a production Software Solution, Leveraged simulation for design or data generation, Experience delivering solutions, Worked on validation solutions for a production ML system", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "THE MISSION At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realistic production workloads. - Trained on PetaBytes of structured physics data - Running billion-voxel inference in production - Tier-1 semiconductor and hardware customers - Operating across multiple physical scales and operator regimes We are scaling deployment at industrial magnitude: - Increase simulation throughput by two orders of magnitude - Expand simulation capabilities to maximize utility and domain coverage - Support global, multi-entity deployment across Tier-1 ecosystems Our ambition is to become the default operator intelligence layer that hardware companies run on. Design the Software that Designs Hardware Integrating Machine Learning with Classic Numerical approaches results in a solution that is better than the sum of its parts. This method reduces the complexity of physics simulations, making them easier to setup, run and evaluate quickly. This combination of ease of use, speed and accuracy is the core of our value proposition to customers. WHAT YOU WILL DO Your north star will be the guaranteed (empirical) validation of simulation systems. In this role you will use and evaluate the cutting edge solutions developed by our Machine Learning and Solver teams. Ensure that our customers receive the highest value results by building a runtime evaluation mechanism. Develop a compelling data driven argument for this mechanism. Work with software engineers to implement your designs and demonstrate validity. You will sit at the interface of teams of Physicists, AI researchers, Software Engineers and Computational Geometry experts. You are comfortable working with deep technical experts and bringing your own expertise to bear. WHAT WE’RE LOOKING FOR Qualifications; - Prior experience using or building physics simulators - FEM, FEA, Molecular Dynamics, FDTD - Experience as a systems engineer in a production environment - working with Scientists and Engineers in a collaborative setting - Basic understanding of solver mechanisms; - Numerical Optimization, Convergence Criteria, Dampening approaches - Working knowledge of ML basics - back prop, loss functions, generators, embeddings, transformer models - Understanding of statistics and data science methods - Confidence intervals, uncertainty quantification, Bayes method We are very excited to talk with you if you have - Worked as a Systems Engineer for a production Software Solution in any of; - Robotics, Chip Manufacturing, Aerospace - Have leveraged simulation for design or data generation purposes. - Have experience delivering solutions when needed - Have worked on validation solutions for a production ML system ENGINEERING EXPECTATIONS - Software engineering fundamentals - Understanding of CI, regression testing, and validation discipline - Excellent communication and documentation skills - Comfortable running thousands of simulations and finding a needle in the haystack failure. - Capable of defining an architecture with sufficient detail an Engineer could implement it with few open questions. WHY VINCI Join a rare early-stage startup that has successfully moved a foundational product from research to real-world, production environments, already serving Tier-1 semiconductor and hardware customers. Our Mission & Impact Vinci is building the operator intelligence infrastructure that modern hardware programs rely on daily. We are scaling our solution to accelerate design validation from hours to seconds. You will contribute to expanding our unified model architecture, which currently runs billion-voxel inference, into the transient domain—a key frontier in modeling interactions, deformation, and dynamics. Our ambition is to become the default operator intelligence layer for hardware companies. Growth & Opportunity This is a unique opportunity to be the first Systems Engineer in a burgeoning space and to build a practice and team around you. You will work with a premiere physics simulation tool—a proven foundation model capable of billion-voxel inference—that is scaling deployment across Tier-1 ecosystems. Our ambition is for this technology to become the default operator intelligence layer for hardware companies. Leadership You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik Kabaria, whose vision is to greatly accelerate physics simulations with ML while retaining solver grade accuracy.", "summaryDescription" : "Systems Engineer - Simulation Correctness (Senior) at Vinci. Skills: Simulation correctness, Machine Learning, Physics simulation. Validate simulation systems. Evaluate ML solutions", "postedDate" : "2026-06-11T17:06:48.173", "createdAt" : "2026-06-11T17:06:48.173", "lastUpdated" : "2026-06-12T22:06:32.274", "ingestTimestamp" : "2026-06-11T17:06:48.173", "mongoId" : "6a2a7cc574d8ee00a066604f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Physics simulators", "ML basics", "Statistics", "Data science methods", "Solver", "Numerical Optimization", "Convergence Criteria", "Dampening approaches", "back prop", "loss functions", "generators", "embeddings", "transformer models", "Confidence intervals", "uncertainty quantification", "Bayes method", "CI", "regression testing", "validation discipline", "Simulation correctness", "Machine Learning", "Physics simulation", "Runtime evaluation", "Data driven argument", "Solver integration", "ML integration", "Production environment", "Systems engineering", "Validation discipline", "Architecture definition", "FEM", "FEA", "Molecular Dynamics", "FDTD", "Robotics", "Chip Manufacturing", "Aerospace", "Simulation for design", "Data generation", "ML system validation", "Operator intelligence infrastructure", "Physics data", "Hardware programs", "Physical scales", "Operator regimes", "Simulation throughput", "Simulation capabilities", "Hardware companies", "Numerical approaches", "Physics simulations", "Model architecture", "Transient domain", "Solver grade accuracy" ], "skillCount" : 53, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 775.3973, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a262ec174d8ee00a02092ab", "title" : "Sr Computer Support Analyst", "company" : "Netrix Global", "industry" : "Cybersecurity", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Support Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "timestamp" : "2026-06-16T03:34:50.987", "fingerprint" : "0b5b2f60b44047e131ff0da41f4aedbdece06761ad1292b842f929af522e613f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://netrix-global.breezy.hr/p/59f89f1caa70-sr-computer-support-analyst", "externalId" : "59f89f1caa70", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Support IT services", "domainKnowledge" : "Cybersecurity", "domainList" : [ "cybersecurity" ], "domainSpecificKnowledge" : [ "Cybersecurity" ], "qualificationsBasic" : "Backend engineering experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About The Opportunity This Sr Computer Support Analyst position is located in Chicago, IL 60614 of the United States. Netrix Global, award-winning provider of cybersecurity and end-to-end IT services, is seeking a Sr Computer Support Analyst, with strong backend engineering experience supporting", "summaryDescription" : "Sr Computer Support Analyst at Netrix Global. Support IT services", "createdAt" : "2026-06-14T18:41:21.130", "lastUpdated" : "2026-06-16T03:34:50.987", "ingestTimestamp" : "2026-06-14T18:41:21.130", "mongoId" : "6a262ec174d8ee00a02092ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Cybersecurity" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 762.86554, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6931903470f0b99d58087a39", "title" : "Simulation Scientist", "company" : "Amazon. com LLC", "industry" : "Research Science, transportation and logistics", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T01:54:13.854", "fingerprint" : "1718cd109335936655b41daa9d9451dd54fdf4a37b5c5025e045ddb15e799a08", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136630/apply", "externalId" : "4f55ee6f-f1fd-47fe-a628-5735bb4ab832", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, MATLAB, Object oriented language", "professionalSkills" : [ "Operations research", "Process design", "Simulation science", "Data science", "Modeling algorithms" ], "hardSkillsList" : [ "Discrete event simulations", "Optimization algorithms", "Statistical analysis", "Simulation modeling" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Discrete event simulations", "level" : "intermediate" }, { "name" : "Optimization algorithms", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Simulation modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Simulation, Optimization, Data analysis", "majorSkillsList" : [ "Simulation", "Optimization", "Data analysis" ], "coreResponsibilities" : "Deep dive into complex problems, Drive innovative solutions, Interface with functional teams, Influence functional teams, Lead strategic modeling projects, Lead simulation projects, Synthesize and communicate insights, Apply operations research principles, Contribute to end state vision, Design simulation data science solutions, Perform system of systems simulations, Establish best practices, Simplify problems for simulations, Identify hard process flow problems, Deliver organizational standards, Design process flow control algorithms, Validate simulation implementations, Implement simulation solutions, Write technical documents, Apply judgment and simulation experience, Balance cross-organization trade-offs, Negotiate with business partners, Communicate with business partners, Provide simulation data, Influence business strategy, Write white papers, Document approach, Document simulation outcomes, Document recommendations, Document arguments, Lead simulation research reviews, Participate in simulation reviews, Educate simulation community, Develop codes for data analysis, Develop codes for simulation, Develop modeling algorithms, Coordinate simulation efforts, Develop optimal solutions, Specify equipment, Design material flow control, Design process design, Design site layout, Deliver results on schedule, Deliver quality results", "teamCollaboration" : "Cross functional teams; Internal teams; Outside vendors", "domainKnowledge" : "Discrete event simulation; System of systems; Process flow simulation; Network optimization", "domainList" : [ "discrete-event-simulation", "system-of-systems", "process-flow-simulation", "network-optimization" ], "domainSpecificKnowledge" : [ "Discrete event simulation", "System of systems", "Process flow simulation", "Network optimization" ], "toolProficiency" : [ "Anylogic", "FlexSim", "Emulate 3D", "Demo 3D" ], "communicationSkills" : "Communicate insights; Communicate with partners; Write white papers", "documentationSkills" : "Document approach; Document outcomes; Document recommendations; Document arguments; Write technical documents", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solver; Root cause analysis", "qualificationsBasic" : "PhD or Master's degree, 4+ years quantitative field research experience, Investigate feasibility of scientific principles, Analyze experimental and observational data", "qualificationsPreferred" : "Knowledge of R, MATLAB, Python, Experience with agile development, Experience building web dashboards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you inspired by Innovation? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at World Wide Engineering and Innovations (WWEI) - Sortation and Ultrafast Engineering (SUE) team. We start with the customer and work backwards in everything we do. If you’re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you’ve come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Anylogic, FlexSim, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and using technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers. Key job responsibilities As a Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply operations research principles and methodologies for complex use cases across multiple business network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future designs at Amazon. Key job responsibilities • Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages • Lead strategic modeling and simulation research projects to drive process design decisions • Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards • Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact • Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations • Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects • Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments • Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline • Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices • Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms • Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout • Deliver results according to project schedules and quality A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic qualifications PhD, or Master's degree and 4+ years of quantitative field research experience Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Experience analyzing both experimental and observational data sets Preferred qualifications Knowledge of R, MATLAB, Python or similar scripting language Experience with agile development Experience building web based dashboards using common frameworks Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience analyzing both experimental and observational data sets Preferred Qualifications: - Knowledge of R, MATLAB, Python or similar scripting language - Experience with agile development - Experience building web based dashboards using common frameworks Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Simulation Scientist at Amazon. com LLC. Skills: Simulation, Optimization, Data analysis. Deep dive into complex problems. 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Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-16T02:18:43.888", "fingerprint" : "672e2f5c903a0a882b43d4d034e3602dc90286198a9687476f4b6f3618a99180", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34474", "externalId" : "34474", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Training delivery", "Curriculum development", "Project management" ], "hardSkillsList" : [ "Adult learning principles" ], "hardSkills" : [ { "name" : "Adult learning principles", "level" : "intermediate" } ], "majorSkills" : "Training delivery, Curriculum development, Adult training", "majorSkillsList" : [ "Training delivery", "Curriculum development", "Adult training" ], "coreResponsibilities" : "Follow management directives, Seek leadership from managers, Communicate progress to managers, Coordinate classes, Prepare classes, Present classes, Coordinate train-the-trainer workshops, Prepare train-the-trainer workshops, Present train-the-trainer workshops, Coordinate project meetings, Prepare project meetings, Present project meetings, Coordinate demonstrations, Prepare demonstrations, Present demonstrations, Coordinate conferences, Prepare conferences, Present conferences, Assist in coordination of curricula, Assist in research of curricula, Assist in design of curricula, Assist in development of curricula, Manage multiple projects, Prepare documents, Prepare correspondence, Prepare proposals, Prepare briefings, Prepare reports, Prepare training materials, Prepare project timelines, Build communication relationships, Build working relationships, Work on special projects, Perform other duties", "teamCollaboration" : "Collaboration with administrators; Collaboration with program specialists; Working relationships with staff; Working relationships with community; Working relationships with co-workers", "projectManagementSkills" : [ "Project management methodology", "Project management tools" ], "domainKnowledge" : "Human Dynamics; Management skills; Soft skills", "domainList" : [ "human-dynamics", "management-skills", "soft-skills" ], "domainSpecificKnowledge" : [ "Human Dynamics", "Management skills", "Soft skills" ], "communicationSkills" : "Group presentations", "documentationSkills" : "Prepare documents; Prepare correspondence; Prepare proposals; Prepare briefings; Prepare reports; Prepare training materials; Prepare project timelines", "continuousLearning" : "Training and development opportunities", "specialRequirements" : "Up to 25% travel", "outcomesObjectives" : "Enhance employee skills; Enhance employee productivity", "qualificationsBasic" : "Two years of experience in training methods, Two years of experience in agency operations, Two years of experience giving group presentations", "qualificationsPreferred" : "Experience delivering in-person training, Experience delivering virtual training, Experience training adults, Experience developing curricula, Experience as a supervisor, Experience as a manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The Texas Workforce Commission (TWC) connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 101 E. 15th St, Austin, Texas in the Training and Development department. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A creative, professional trainer with experience delivering training to an adult audience. You would be excited to join the Human Dynamics training team, which specializes in delivering management and soft-skills courses. You would be happy to support our department mission: “To help TWC and our partners enhance employee workplace skills and productivity through the delivery, development, and coordination of quality learning opportunities,” and you would be proud to work for a great state agency with a noble public service mission. WHAT YOU WILL DO: The Human Dynamics Trainer (Training & Development Specialist III) complex (journey-level) training work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Follow management directives meticulously, actively seeking leadership and guidance from managers in training delivery and project execution, and proactively communicate progress to ensure accountability. -Coordinate, prepare, and present classes, train-the-trainer workshops, project meetings, demonstrations, and conferences in most effective manner for employees, service providers, and board staff. -Assist in the coordination, research, design, and development of formal complex curricula that require extensive collaboration with high-level administrators and program specialists using approved guidelines and processes. -Manage multiple projects using project-management methodology and tools. -Accurately and grammatically prepare documents, including correspondence, proposals, briefings, reports, training materials, and project timelines. -Build and maintain communication and working relationships with administrative and program staff, community, and co-workers to accomplish the T&D goals and objectives. -Work on special projects as assigned to meet department goals and objectives. -Perform other duties as assigned. YOU QUALIFY WITH: - Two years of experience in positions that provided knowledge of training methods, techniques, and materials as related to individual development, education, and training programs; or in positions that provided knowledge of agency operation or programs which included giving group presentations. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Experience in delivering in-person classroom training and virtual training. -Experience in training or teaching adults. -Experience in developing curricula. -Experience as a supervisor or manager. YOU GAIN: -A Family Friendly Certified Workplace. -Competitive salary: $4,664.23/month -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Duty involves up to 25% travel within the state of Texas. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_HumanResourcesandTrainingandDevelopment.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Human Dynamics Trainer at Texas Workforce Commission. Skills: Training delivery, Curriculum development, Adult training. Follow management directives. 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Cross-functional teams", "projectManagementSkills" : [ "AGILE methodology", "Product Roadmap", "Sprints", "Release plan" ], "domainKnowledge" : "Aerospace; Mechanical; Electrical; Electronics; Instrumentation and Control; Simulation Runtime Environment; Simulation Development Environment", "domainList" : [ "aerospace", "mechanical", "electrical", "electronics", "instrumentation-and-control", "simulation-runtime-environment", "simulation-development-environment" ], "domainSpecificKnowledge" : [ "Aerospace", "Mechanical", "Electrical", "Electronics", "Instrumentation and Control", "Simulation Runtime Environment", "Simulation Development Environment" ], "toolProficiency" : [ "React. js", "Redux", "Context API", "Zustand", "Sass", "Tailwind", "Spring Boot", "Node.js", "OpenShift", "Docker", "Git" ], "communicationSkills" : "Good communication skills", "continuousLearning" : "Ramping up on new technologies", "innovationCreativity" : "Innovative design solutions; Innovative technologies", "problemSolvingSkills" : "Problem solving; Analytical skills", "outcomesObjectives" : "Deliver on time", "qualificationsBasic" : "3-8 years in software design, B. Tech. /B. E. /M. Tech. /M. E in Aerospace, Mechanical, Electrical, Electronics, Instrumentation and Control", "qualificationsPreferred" : "Expert knowledge of hooks, Expert knowledge of functional components, Expert knowledge of state management, Deep understanding of HTML5, Deep understanding of CSS3, Deep understanding of Responsive Design, Experience connecting React frontends with RESTful microservices, Extensive experience in developing scalable, high-quality code, Solid foundation in Object-Oriented Programming, Solid foundation in concurrent execution, Good understanding of architectural patterns, Proficiency in at least one database, Understanding of schema design, Understanding of indexing, Understanding of query optimization, Hands-on experience with OpenShift, Hands-on experience with Docker, Familiarity with deployment tools, Familiarity with automated pipelines, Interested in ramping up on new technologies, Supporting legacy systems, Proficient in design & development of web applications, Proficient in deploying web applications, Good at problem solving, Good analytical skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "****Job Description:**** **_Position:_ Simulation Frameworks Engineer** ** _Required Education:_** **B.Tech./B.E./M.Tech./M.E in Aerospace, Mechanical, Electrical, Electronics, Instrumentation and Control** ** _Experience:_** 3-8 years in software design and development Training sessions will be conducted on different aspects of tools framework _Responsibilities:_ * Framework Development: * Simulation Runtime Environment development based on AGILE methodology. * Simulation Development Environment development based on AGILE methodology. * Specify, design, develop, integrate, validate, deliver and deploy the software and web applications * Design & Develop database schemas and deliver data architecture * Capable of writing high quality code and deliver on time * Complete activities like code review and git merge * Defines the Product Roadmap, Sprints, release plan * Develops meaningful user stories through connect with users * Ensure the quality of user stories by validating the user stories * Reporting progress of activity with timely escalations * Identify, monitor and mitigate the risks. * Be proactive and innovative to improve the ways of working. Ex: bring innovative design solutions and technologies, deploy AGILE methods. **Required skills and expertise: Full Stack Expertise** * **Frontend Development:** * Strong Proficiency in React.js: Expert knowledge of hooks, functional components, and state management (Redux, Context API, or Zustand). * Modern Web Fundamentals: Deep understanding of HTML5, CSS3 (Sass/Tailwind), and Responsive Design. * API Integration: Experience connecting React frontends with RESTful microservices (Spring Boot/Python). * **Core Programming & Architecture:** * Strong Python Programming: Extensive experience in developing scalable, high-quality code. * OOPS & Multithreading: Solid foundation in Object-Oriented Programming and concurrent execution across different languages. * Design Patterns: Good understanding of architectural patterns (e.g., MVC, Singleton, Observer) to ensure code maintainability. * **Database Knowledge** : * Data Modeling: Proficiency in at least one database such as MySQL, H2, or MongoDB. * Understanding of schema design, indexing, and query optimization. * **Frameworks & Specialized Tools**: * Backend: Spring Boot, Node.js. * **Deployment & Cloud:** * Containerization: Hands-on experience with OpenShift (or Kubernetes) and Docker. * CI/CD: Familiarity with deployment tools and automated pipelines. * Interested in ramping up on new technologies while supporting legacy * Proficient in design & development of web applications and deploying them. * Good at problem solving and analytical skills. * Good communication skills. **Airbus Group India does not:** **● Send job offers from free email services including but not limited to Gmail, Rediffmail, Yahoo mail, Hotmail and others** **● Authorize anyone to either collect money or arrive at any monetary arrangement in return for a job at AIG** **● Charge / accept any form of consideration or security deposit from job seekers and applicants during any stage of the selection and/ or recruitment process** **● Request for your credit card number or bank account number** **It has come to our attention that fake job offers under the aegis of Airbus India or Airbus Group India Pvt. Ltd. have been circulated by unauthorized personnel. On receipt of an interview call for any job at AIG, the candidate may take some measures such as visiting the official website or career site of Airbus to get the contact details to enquire with the Human Resources department of Airbus India regarding such jobs and/or the interview details and any other relevant information.** **For further information on Airbus India Careers, please click here. Please check www.airbus.com to get the contact details and enquire with the company to confirm if any information that you have received are genuine; do not respond to any fraudulent communication. AIG will not be responsible to anyone acting on an employment offer not directly made by Airbus Group India Pvt Ltd. anyone making an employment offer in return for money or other type of gain is not authorized by AIG and is not offering an approved job. AIG reserves the right to take legal action, including criminal action, against such individuals/entities** ****Airbus is proud to be an equal opportunity employer and is committed to creating an inclusive and diverse work environment. AGI selects job applicants (internal and external) on the basis of suitability for the job, and irrespective of gender, marital status, age, sexual orientation, gender identity or expression, nationality, religion, ethnicity or differently abled/ (dis)ability** This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus India Private Limited **Employment Type:** Permanent \\------- **Experience Level:** Professional **Job Family:** Software Engineering By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "Simulation Frameworks Engineer at Airbus India Private Limited. Skills: Simulation Frameworks, Full Stack Development, AGILE methodology. Develop Simulation Runtime Environment. Develop Simulation Development Environment", "postedDate" : "2026-06-10T14:24:10.770", "createdAt" : "2026-06-11T14:24:10.720", "lastUpdated" : "2026-06-12T18:54:48.691", "ingestTimestamp" : "2026-06-11T14:24:10.720", "mongoId" : "6a2a5e5b74d8ee00a061c16b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Bangalore-Area/Simulation-Frameworks-Engineer_JR10395385", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Frontend Development", "Backend Development", "Database schemas", "Data architecture", "Code review", "Git merge", "User stories", "Containerization", "CI/CD", "Innovative", "Simulation Frameworks", "Full Stack Development", "AGILE methodology", "Full Stack Expertise", "Data Modeling", "Design patterns", "Problem solving", "Analytical skills", "Product Roadmap", "Sprints", "Release plan", "Aerospace", "Mechanical", "Electrical", "Electronics", "Instrumentation and Control", "Simulation Runtime Environment", "Simulation Development Environment", "React. js", "Redux", "Context API", "Zustand", "Sass", "Tailwind", "Spring Boot", "Node.js", "OpenShift", "Docker", "Git" ], "skillCount" : 39, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 759.76794, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a1737fc58b93c861ed1db19", "title" : "Sr Computer Support Analyst", "company" : "Netrix Global", "industry" : "Cybersecurity", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Support Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "timestamp" : "2026-06-15T05:01:22.695", "fingerprint" : "04cb14ebe86c27b08e421094b3f222602b118b77144cf3163fe4ccde6abb65f0", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://netrix-global.breezy.hr/p/9a12b6cbd43b-sr-computer-support-analyst", "externalId" : "9a12b6cbd43b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Support Sr Computer Support Analyst", "qualificationsBasic" : "Backend engineering experience", "remoteFriendly" : false, "rawDescription" : "About The Opportunity This Sr Computer Support Analyst position is located in Chicago, IL 60614 of the United States. Netrix Global, award-winning provider of cybersecurity and end-to-end IT services, is seeking a Sr Computer Support Analyst, with strong backend engineering experience supporting", "summaryDescription" : "Sr Computer Support Analyst at Netrix Global. Support Sr Computer Support Analyst", "createdAt" : "2026-06-14T05:21:38.878", "lastUpdated" : "2026-06-15T05:01:22.695", "ingestTimestamp" : "2026-06-14T05:21:38.878", "mongoId" : "6a1737fc58b93c861ed1db19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 754.8813, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1db70f0b99d58d66d89", "title" : "Lab Engineer Space Simulation Lab 2nd shift, Space Simulation Team", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 73900.0, "max" : 165200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T08:19:31.211", "fingerprint" : "cfad075a85b0c6a0538f31183d5bc38fbbeadb4374b30e59cde20ce5ecde28d0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102704/apply", "externalId" : "d18b1572-e2f7-4d84-9216-e29a158a7b20", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Software updates", "professionalSkills" : [ "Test execution", "Equipment maintenance" ], "hardSkillsList" : [ "Environmental testing", "Instrumentation installation", "Electronic test procedures", "Forklift operation", "Pallet jack operation", "Electrical assembly repair" ], "softSkillsList" : [ "Highly motivated" ], "hardSkills" : [ { "name" : "Environmental testing", "level" : "intermediate" }, { "name" : "Instrumentation installation", "level" : "intermediate" }, { "name" : "Electronic test procedures", "level" : "intermediate" }, { "name" : "Forklift operation", "level" : "intermediate" }, { "name" : "Pallet jack operation", "level" : "intermediate" }, { "name" : "Electrical assembly repair", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Highly motivated" } ], "majorSkills" : "Space simulation, Environmental testing, Hardware testing", "majorSkillsList" : [ "Space simulation", "Environmental testing", "Hardware testing" ], "coreResponsibilities" : "Operate environmental test chambers, Install instrumentation on hardware, Install instrumentation on fixtures, Execute electronic test procedures, Receive shipments, Coordinate deliveries, Update electrical assemblies, Repair electrical assemblies, Update electrical subsystems, Repair electrical subsystems, Assemble tooling, Assist with equipment maintenance", "teamCollaboration" : "Collaborative team environment", "domainKnowledge" : "Space simulation; Low Earth Orbit satellites; Broadband connectivity", "domainList" : [ "space-simulation", "low-earth-orbit-satellites", "broadband-connectivity" ], "domainSpecificKnowledge" : [ "Space simulation", "Low Earth Orbit satellites", "Broadband connectivity" ], "toolProficiency" : [ "Forklift", "Pallet jack" ], "problemSolvingSkills" : "Identify issues; Escalate to development", "specialRequirements" : "Work on powered equipment, Occasional extended hours", "outcomesObjectives" : "Complete critical test campaigns", "qualificationsBasic" : "Experience configuring software updates, Experience deploying software updates, Experience testing software updates, Ability to identify issues, Ability to escalate to development, Bachelor's degree in Engineering, Willing to work on powered equipment, Able to lift up to 49 pounds, Able to stand/walk for 8-10 hours, Able to frequently push, pull, squat, bend, and reach, U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as a refugee, Granted asylum", "qualificationsPreferred" : "Experience with lab safety, Experience with lab security, Experience with lab quality practices, Experience with space hardware testing protocols", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Lab support technician, you will be responsible for performing various tasks throughout the facility. We are looking for candidates who thrive in a fast paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing the highest standards of execution. Key job responsibilities - Operation of environmental test chambers (Thermal cycling, vacuum, HALT/HASS) - Install instrumentation on various types of hardware and fixtures - Execute electronic test procedures for component and system level testing - Receive shipments and coordinate deliveries with recipients (Using forklifts, pallet jacks, etc) - Update and repair electrical assemblies and subsystems - Assemble tooling and assist with equipment maintenance. New hires will need to meet the following criteria: - Must be willing and able to work on powered equipment-for example forklift or cherry picker - With or without reasonable accommodation, be able to lift up to 49 pounds on some occasions, stand/walk for up to 8-10 hours (with breaks), and be able to frequently push, pull, squat, bend, and reach Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life Laboratory setting with specialized test equipment May require occasional extended hours to complete critical test campaigns Collaborative team environment focused on product quality and reliability Basic Qualifications: - Experience configuring, deploying, and testing software updates, including the ability to identify issues and escalate to development as appropriate - - Bachelor's degree in Engineering (Mechanical, Electrical, Aerospace) or related technical field Preferred Qualifications: - Experience with lab safety, security and quality practices - - Experience with space hardware testing protocols Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $73,900/year in our lowest geographic market up to $165,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 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Engineering teams; Cross-functional teams", "domainKnowledge" : "Consumer electronics; Low Earth Orbit satellites; Broadband connectivity; Electronic assemblies; Heat spreaders; Injection molding; Sheet metal forming; Die casting", "domainList" : [ "consumer-electronics", "low-earth-orbit-satellites", "broadband-connectivity", "electronic-assemblies", "heat-spreaders", "injection-molding", "sheet-metal-forming", "die-casting" ], "domainSpecificKnowledge" : [ "Consumer electronics", "Low Earth Orbit satellites", "Broadband connectivity", "Electronic assemblies", "Heat spreaders", "Injection molding", "Sheet metal forming", "Die casting" ], "toolProficiency" : [ "Star-CCM+", "FloTherm XT/EFD", "Creo Systems", "JMP", "ReliaSoft" ], "communicationSkills" : "Clear reports; Compelling reports", "innovationCreativity" : "Innovative solutions; Creative developments", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "International travel", "qualificationsBasic" : "PhD or Master's degree, 7+ years industry/academic research, 7+ years CFD thermal simulation, 7+ years Star-CCM+, FloTherm XT/EFD, Geometric tolerances experience, Statistical tolerance analysis experience, Python and Matlab for analysis, Manufacturing processes experience, DFM and DFA experience", "qualificationsPreferred" : "Consumer electronics enclosure materials design, PhD in mechanical engineering, Creo Systems knowledge, Matlab or other engineering tools, Statistical analysis tools experience, 2+ years ML model building", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Sr. Applied Scientist, you will be responsible for assessing and optimizing the thermal performance of our new and emerging category of devices - Amazon Leo customer terminals. AMZ Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to un-served and under-served communities around the world. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness. Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Establish temperature thresholds for device and component level considering reliability requirements and use conditions - Apply domain scientific expertise towards developing innovative analysis and tests to study viability of concepts, materials or designs - Evaluate and optimize thermal solution requirements of electronics products - Use simulation tools like Star-CCM+ or FloTherm XT/EFD for analysis and optimization of product design - Validate design modifications for thermal concerns using simulation and actual prototypes - Leverage intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues - Use of programming languages like Python and Matlab for analytical/statistical analyses and automation - Work closely with engineering teams to drive validation, optimization and implementation of hardware design or software algorithmic solutions to improve product and customer risks - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Track general business activity including device health in development phase and in field, and provide clear, compelling reports to management on a regular basis - Develop and apply design guidelines based on project learnings About the team Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? Basic Qualifications: - PhD, or Master's degree and 7+ years of industry or academic research experience - 7+ years of experience using CFD thermal simulation software in consumer electronics - 7+ years of experience using Star-CCM+, FloTherm XT/EFD or comparable tool - Experience using geometric tolerances and statistical tolerance analysis techniques - Use of programming languages like Python and Matlab for analytical/statistical analyses and automation - Experience in manufacturing processes such as injection molding, sheet metal forming and die casting, Design for Manufacturability (DFM) and Design for Assembly (DFA) Preferred Qualifications: - Demonstrated design experience with consumer electronics enclosure materials - PhD in mechanical engineering or related field - Creo Systems knowledge, Experience with Matlab or other engineering tools for modeling systems - Demonstrated experience with statistical analysis tools like JMP and ReliaSoft - This position may require international travel - Experience in mentoring, leading and coaching - 2+ years of experience of building machine learning models for business application Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Sr. Thermal Scientist/Engineer, Product Integrity, Hardware - Product Integrity at Amazon.com Services LLC. Skills: Thermal science, Thermal engineering, CFD simulation, Product integrity. Establish temperature thresholds. Apply scientific expertise", "postedDate" : "2026-06-13T08:00:38.564", "createdAt" : "2026-06-13T08:00:38.564", "lastUpdated" : "2026-06-15T03:56:31.338", "ingestTimestamp" : "2026-06-13T08:00:38.564", "mongoId" : "69e104412beec4dd3def2806", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386488/apply", "salaryAnnualMin" : 167100, "salaryAnnualMax" : 226100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Thermal analysis", "Thermal testing", "Statistical analysis", "Tolerance analysis", "Manufacturing processes", "Design for Manufacturability", "Design for Assembly", "Leadership", "Meticulousness", "Thermal science", "Thermal engineering", "CFD simulation", "Product integrity", "Thermal performance optimization", "Concept design", "Product architecture", "System validation", "Manufacturing release", "Electronic assemblies analysis", "Simulation", "Experimentation", "Material knowledge", "Heat spreader solutions", "Analytical analyses", "Statistical analyses", "Hardware design", "Algorithmic solutions", "Design guidelines development", "Consumer electronics", "Low Earth Orbit satellites", "Broadband connectivity", "Electronic assemblies", "Heat spreaders", "Injection molding", "Sheet metal forming", "Die casting", "Star-CCM+", "FloTherm XT/EFD", "Creo Systems", "JMP", "ReliaSoft" ], "skillCount" : 41, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 754.0614, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Electronics" }, { "id" : "6a2ca59074d8ee00a09b71cb", "title" : "Engineer, Air Suspension Testing & Tuning", "company" : "Scout Motors", "industry" : "Manufacturing", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC", "Novi", "Michigan", "United States" ], "certifications" : [ "High-performance driving certifications" ], "timestamp" : "2026-06-15T07:55:44.357", "fingerprint" : "b7bb3d737b23b40b05e32df5cbc885666748c6d570806ec453d9c9a0dc481ec8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5160786007", "externalId" : "5160786007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Air suspension, MATLAB, Simulink", "professionalSkills" : [ "Project management", "Independent project management" ], "hardSkillsList" : [ "Damper curves interpretation", "Suspension characteristics interpretation", "Virtual development support", "Test standards development", "Advanced testing methodologies" ], "softSkillsList" : [ "Teamwork", "Leadership" ], "hardSkills" : [ { "name" : "Damper curves interpretation", "level" : "intermediate" }, { "name" : "Suspension characteristics interpretation", "level" : "intermediate" }, { "name" : "Virtual development support", "level" : "intermediate" }, { "name" : "Test standards development", "level" : "intermediate" }, { "name" : "Advanced testing methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" }, { "name" : "Leadership" } ], "majorSkills" : "Air suspension testing, Simulation tools, Vehicle dynamics", "majorSkillsList" : [ "Air suspension testing", "Simulation tools", "Vehicle dynamics" ], "coreResponsibilities" : "Analyze results, Correlate with simulation models, Prepare detailed reports, Summarize findings, Summarize objectivations, Summarize subjective evaluations, Summarize KPIs, Summarize recommended next steps, Work closely with production teams, Ensure manufacturability, Ensure process alignment, Ensure production readiness, Collaborate cross-functionally, Support virtual development activities, Contribute to best practices, Develop test standards, Develop advanced testing methodologies", "teamCollaboration" : "Cross-functionally with DREs; Vehicle dynamics teams; Controls teams; Electronics teams; Software teams; Systems engineering teams; Internal teamwork; External parties teamwork", "projectManagementSkills" : [ "Project steering", "Project coordination", "Independent project management" ], "domainKnowledge" : "Electric vehicle chassis systems; Air suspension systems; Vehicle performance; Mobility innovation", "domainList" : [ "electric-vehicle-chassis-systems", "air-suspension-systems", "vehicle-performance", "mobility-innovation" ], "domainSpecificKnowledge" : [ "Electric vehicle chassis systems", "Air suspension systems", "Vehicle performance", "Mobility innovation" ], "toolProficiency" : [ "ADAMS", "CarSim", "MATLAB/Simulink" ], "communicationSkills" : "Report preparation; Summarizing findings", "documentationSkills" : "Detailed reports", "innovationCreativity" : "Innovate in electric vehicle chassis systems; Creation of new ideas; Creation of new solutions", "problemSolvingSkills" : "Correlation of physical and virtual test results", "specialRequirements" : "Ability to travel as needed, Hands-on testing", "outcomesObjectives" : "Ensure manufacturability of air suspension components; Ensure process alignment of air suspension systems; Ensure production readiness of air suspension systems", "qualificationsBasic" : "Ability to interpret damper curves, Ability to interpret suspension characteristics, Ability to interpret control system behaviors, High-performance driving skills, Experience testing vehicles at limit", "qualificationsPreferred" : "Experience with simulation tools, Correlation of physical and virtual test results, Certifications in high-performance driving", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do At Scout Motors, you don't just design vehicles- you shape the future of the road. Our Engineering team is where bold ideas meet rigorous execution, building machines that are as durable and capable as the people who drive them. You'll work shoulder-to-shoulder with brilliant minds across disciplines, turning complex challenges into elegant, scalable solutions that meet the highest standards of safety, performance, and user experience. This is a place where your fingerprints are found on metal – where what you design gets built, driven, and remembered. If you're hungry to engineer something that matters, Scout Motors is where that ambition finds its highest gear. Become part of an iconic brand that is set to revolutionize the electric pick-up truck analyze results and correlate with simulation models. Prepare detailed reports summarizing findings, objectivations, subjective evaluations, KPIs, and recommended next steps. Work closely with production teams to ensure manufacturability, process alignment, and production readiness of air suspension components and systems. Collaborate cross‑functionally with chassis DREs, vehicle dynamics, controls, electronics, software, and systems engineering teams. Support virtual development activities (simulation, model‑in‑the‑loop, driving simulators) to complement physical testing. Contribute to best practices, develop test standards, and advanced testing methodologies for air suspension systems. Location ability to interpret damper curves, suspension characteristics, and control system behaviors. Experience with simulation tools (ADAMS, CarSim, MATLAB/Simulink or comparable) and correlation of physical and virtual test results. Strong communication, teamwork, and cross‑functional alignment skills. High motivation to innovate in electric vehicle chassis systems and willingness to engage in hands‑on testing. Ability to travel as needed for testing and collaboration. High-performance driving skills and experience testing vehicles at the limit (certifications). Passion for vehicle performance and innovation in mobility Advanced project steering and coordination skills to practice independent project management for a defined development scope Motivation to work at the cutting edge of electric vehicle technical design, creation of new ideas and solutions, and enjoyment of hands-on vehicle testing. Excellent teamwork. Both internally and with external parties What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $130,000.00 - $160,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Engineer, Air Suspension Testing & Tuning at Scout Motors. Skills: Air suspension testing, Simulation tools, Vehicle dynamics. Analyze results. Correlate with simulation models", "postedDate" : "2026-06-13T22:50:17.118", "createdAt" : "2026-06-13T22:50:17.118", "lastUpdated" : "2026-06-15T07:55:44.357", "ingestTimestamp" : "2026-06-13T22:50:17.118", "mongoId" : "6a2ca59074d8ee00a09b71cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Damper curves interpretation", "Suspension characteristics interpretation", "Virtual development support", "Test standards development", "Advanced testing methodologies", "Teamwork", "Leadership", "Air suspension testing", "Simulation tools", "Vehicle dynamics", "Project management", "Independent project management", "Project steering", "Project coordination", "Electric vehicle chassis systems", "Air suspension systems", "Vehicle performance", "Mobility innovation", "High-performance driving certifications", "ADAMS", "CarSim", "MATLAB/Simulink" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 746.6171, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafe574d8ee00a09d826b", "title" : "Staff/Senior Robotics Software Engineer - Simulation", "company" : "Humanoid", "industry" : "Engineering", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Robotics Software Engineer in London, UK, adjusted for the technology industry and company size." }, "location" : "UK, London", "locations" : [ "UK, London" ], "timestamp" : "2026-06-15T13:26:08.502", "fingerprint" : "03add82b4bb97dc7e93cb69537fc85adae02faaf490a24b8d9badc7ff9616f57", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/humanoid/4dc00d84-bde9-4f1b-9e9f-c5a08d117def/application", "externalId" : "4dc00d84-bde9-4f1b-9e9f-c5a08d117def", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, ROS, ROS Control, MuJoCo, Isaac Sim, Docker", "professionalSkills" : [ "Software engineering", "Algorithm testing", "Data analysis" ], "hardSkillsList" : [ "Robotic kinematics", "Robotic dynamics", "Robotic control" ], "hardSkills" : [ { "name" : "Robotic kinematics", "level" : "intermediate" }, { "name" : "Robotic dynamics", "level" : "intermediate" }, { "name" : "Robotic control", "level" : "intermediate" } ], "majorSkills" : "Robotics simulation, Software development, Digital twin integration", "majorSkillsList" : [ "Robotics simulation", "Software development", "Digital twin integration" ], "coreResponsibilities" : "Design simulation environments, Implement simulation environments, Incorporate realistic physics, Incorporate sensor models, Incorporate environmental interactions, Write clean code, Write maintainable code, Write scalable code, Utilize modern software engineering practices, Utilize modern software engineering tools, Develop digital twin interfaces, Maintain digital twin interfaces, Design simulation-based tests, Execute simulation-based tests, Evaluate robotic algorithms, Evaluate control systems, Analyze simulation data, Gain insights, Identify areas for improvement, Work with other engineers, Work with researchers, Ensure seamless integration, Stay informed on trends, Explore trend implementation", "teamCollaboration" : "Cross-team collaboration; Manipulation team; Locomotion team; VLA team; Reasoning Design team; Hardware team; Control & Integration team", "domainKnowledge" : "Robotic systems; Robotic kinematics; Robotic dynamics; Robotic control; Imitation learning; VLA models; Computer Vision", "domainList" : [ "robotic-systems", "robotic-kinematics", "robotic-dynamics", "robotic-control", "imitation-learning", "vla-models", "computer-vision" ], "domainSpecificKnowledge" : [ "Robotic systems", "Robotic kinematics", "Robotic dynamics", "Robotic control", "Imitation learning", "VLA models", "Computer Vision" ], "toolProficiency" : [ "Docker" ], "continuousLearning" : "Trend awareness", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "5+ years experience robotics simulation, 5+ years software development, B. Sc. Robotics, B. Sc. Computer Science, Master's Robotics, Master's Computer Science, Ph. D. Robotics, Ph. D. Computer Science", "qualificationsPreferred" : "Experience with cloud-based simulation, Experience with distributed computing", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Staff/Senior Robotics Software Engineer - Simulation to join our Software team based in London. WHAT YOU'LL DO - Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions. - Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools. - Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots. - Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement. - Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow. - Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company. WHAT WE'RE LOOKING FOR - 5+ years of experience in robotics simulation and software development, with a proven track record working on mid/large-scale software projects. - Strong programming skills in C++, Python and ROS / ROS Control. - Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim. - Knowledge of robotic kinematics, dynamics, and control. - Experience with containerization technologies, such as Docker. - Familiarity with imitation learning, VLA models & Computer Vision techniques. - A proactive, can-do attitude and a collaborative spirit. - Education: B. Sc., Master’s or Ph.D. in Robotics, Computer Science, or a related field. - Experience with cloud-based simulation and distributed computing. WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.", "summaryDescription" : "Staff/Senior Robotics Software Engineer - Simulation at Humanoid. Skills: Robotics simulation, Software development, Digital twin integration. Design simulation environments. Implement simulation environments", "createdAt" : "2026-06-14T09:48:55.038", "lastUpdated" : "2026-06-15T13:26:08.502", "ingestTimestamp" : "2026-06-14T09:48:55.038", "mongoId" : "6a2cafe574d8ee00a09d826b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Robotic kinematics", "Robotic dynamics", "Robotic control", "Robotics simulation", "Software development", "Digital twin integration", "Software engineering", "Algorithm testing", "Data analysis", "Robotic systems", "Imitation learning", "VLA models", "Computer Vision", "Docker" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 745.15173, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a5ca974d8ee00a0615ba5", "title" : "Software Engineer, Sensor Simulation", "company" : "Anduril Industries", "industry" : "Defense Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Costa Mesa, California, adjusted for the technology industry and company size." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-14T21:08:39.335", "fingerprint" : "a3d95ef2bc7bfe2c7ded4b939731186a649c7ac93b34b06bedef703a13c15245", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5160996007?gh_jid=5160996007", "externalId" : "5160996007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "domainKnowledge" : "Robotics; Autonomy systems; Sensor simulation; Perception capabilities; Computer vision; Sensor fusion; Networking technology; AI; Machine learning; SITL; HITL; Sim2real gap; Terrain rendering; Vehicle physics; Environmental realism; Sensor fidelity; Camera modeling; LiDAR modeling; Radar modeling; EO/IR modeling", "domainList" : [ "robotics", "autonomy-systems", "sensor-simulation", "perception-capabilities", "computer-vision", "sensor-fusion", "networking-technology", "ai", "machine-learning", "sitl", "hitl", "sim2real-gap", "terrain-rendering", "vehicle-physics", "environmental-realism", "sensor-fidelity", "camera-modeling", "lidar-modeling", "radar-modeling", "eo-ir-modeling" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomy systems", "Sensor simulation", "Perception capabilities", "Computer vision", "Sensor fusion", "Networking technology", "AI", "Machine learning", "SITL", "HITL", "Sim2real gap", "Terrain rendering", "Vehicle physics", "Environmental realism", "Sensor fidelity", "Camera modeling", "LiDAR modeling", "Radar modeling", "EO/IR modeling" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Troubleshooting; Analyzing problems", "specialRequirements" : "Willing to travel 10%, Eligible for U.S. Secret security clearance", "outcomesObjectives" : "Close the sim2real gap; Accelerate development; Accelerate validation", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Sensor Simulation team at Anduril is building a platform for generating synthetic imagery for a variety of teams across the company. Use cases span a variety of areas, such as SITL (software in the loop) and HITL (hardware in the loop) integration tests of our systems, machine learning (ML) data generation and user training simulations. Our mission is to close the sim2real gap—building synthetic imagery pipelines so realistic and physically accurate that our autonomy stack can't tell the difference between synthetic and real-world data. This directly accelerates development and validation of Anduril's perception and autonomy capabilities. We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform. Candidates must have hands-on background in robotics, autonomy systems, or game engines—we need versatile generalists who can connect cutting-edge graphics with real-world sensor behavior. WHAT YOU'LL DO Develop and maintain core capabilities in Unreal Engine such as a terrain rendering pipeline, vehicle physics models, and many more Work with other platform teams at Anduril to ensure our service integrates seamlessly with other core services Integrate various plugins and third party capabilities into our platform, figuring out how to best make use of them and working around or fixing any bugs Collaborate closely with other teams across the company to enable them to integrate synthetic imagery and bring back lessons learned to help improve our product Iterate on sensor fidelity and environmental realism based on feedback from autonomy teams, bridging the gap between synthetic training data and real-world performance REQUIRED QUALIFICATIONS Must have 4+ years of professional C++ programming experience Must be willing to travel 10% for collaboration across offices Comfortable working in a fast-paced, collaborative environment. Strong communication skills are a must. Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Game Design, Robotics. Proven understanding of data structures, algorithms, concurrency, and code optimization Proficiency with Unreal Engine OR demonstrated experience in robotics/autonomy systems (e.g., sensor simulation, perception pipelines, SITL/HITL testing) Experience troubleshooting and analyzing remotely deployed software systems Experience with various tools for performance analysis and debugging problems (gdb, bpftrace, perf, etc) Eligible to obtain and maintain an active U. S. Secret security clearance PREFERRED QUALIFICATIONS MS in Computer Science or Software Engineering Rust programming experience Experience in a Linux development environment GPU and graphics programming experience, including languages such as HLSL, Vulkan, or CUDA Familiarity with training machine learning models, especially for computer vision use cases Understanding of sensor physics (cameras, LiDAR, radar, EO/IR) and how to model them accurately in simulation Experience with 3D modeling tools US Salary Range $166,000—$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Software Engineer, Sensor Simulation at Anduril Industries", "postedDate" : "2026-06-11T17:45:03.380", "createdAt" : "2026-06-11T17:45:03.380", "lastUpdated" : "2026-06-14T21:08:39.335", "ingestTimestamp" : "2026-06-11T17:45:03.380", "mongoId" : "6a2a5ca974d8ee00a0615ba5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Robotics", "Autonomy systems", "Sensor simulation", "Perception capabilities", "Computer vision", "Sensor fusion", "Networking technology", "AI", "Machine learning", "SITL", "HITL", "Sim2real gap", "Terrain rendering", "Vehicle physics", "Environmental realism", "Sensor fidelity", "Camera modeling", "LiDAR modeling", "Radar modeling", "EO/IR modeling" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "software-:-software-platform-:-sensor-simulation", "dataQualityScore" : 0.7777778, "_score" : 741.26556, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology" }, { "id" : "6a305b03f292fd229cf58489", "title" : "Senior Machine Learning Engineer, Simulation Evaluation", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 213000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T06:56:42.162", "fingerprint" : "51e7131048cd83f542f87ec256768b1f711d3e057570e3c8f28d5d96476149af", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8001797", "externalId" : "8001797", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", 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understanding, Evaluate controllability, Integrate advancements in 4D world modeling, Integrate advancements in generative AI, Mentor engineers, Provide technical guidance", "teamCollaboration" : "Research teams across Waymo; Research teams across Alphabet", "domainKnowledge" : "Autonomous driving; Generative models; World models; Video generation; Sensor data simulation; Semantic scenes modeling; Autonomous systems; Robotics software; Autonomous vehicle simulation; Multimodal world models; Generative AI", "domainList" : [ "autonomous-driving", "generative-models", "world-models", "video-generation", "sensor-data-simulation", "semantic-scenes-modeling", "autonomous-systems", "robotics-software", "autonomous-vehicle-simulation", "multimodal-world-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems", "Robotics software", "Autonomous vehicle simulation", "Multimodal world models", "Generative AI" ], "toolProficiency" : [ "Jax", "Flax", "PyTorch" ], "innovationCreativity" : "Pioneer machine learning paradigms; Pioneer generative vision paradigms", "problemSolvingSkills" : "Mathematically prove world is real", "qualificationsBasic" : "Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field, Five or more years of experience in machine learning engineering or applied deep learning, Proficient programming skills in Python, Hands-on experience with modern machine learning frameworks, Experience designing and implementing evaluation frameworks for complex systems or machine learning models", "qualificationsPreferred" : "Track record of training large-scale generative models, PhD and demonstrated success delivering ML products focused on 3D generative models, world models, or video generation, Experience simulating sensor data, Experience modeling semantic scenes, Experience developing autonomous systems, Experience developing robotics software, Experience developing autonomous vehicle simulations, Experience training and optimizing large-scale models on GPU or TPU clusters, Professional experience writing C++ for high-performance production systems", "remoteFriendly" : false, "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The Challenge Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is \"real\"? We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research roadmap. In this role, you will pioneer the machine learning and generative vision paradigms required to define and measure the realism of our multimodal world models. Your work will define the state of the art for autonomous simulation, directly steering our research trajectory and the capabilities of the Waymo Driver. You will: Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo. Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation. Evaluate open-source and production-ready video generation techniques that measure realism (e. g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.) Apply vision language models to evaluate semantic understanding and controllability across our world simulation products. Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems. Mentor engineers on the team and provide technical guidance on architecture and execution. You have: Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field. Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications. Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch. Experience designing and implementing evaluation frameworks for complex systems or machine learning models. We prefer: Track record of training large-scale generative models (diffusion models, flow matching, vision language models, etc.) A PhD and demonstrated success delivering machine learning products focused on 3D generative models, world models, or video generation. Experience simulating sensor data, including camera, lidar, and radar, or modeling semantic scenes. Experience developing autonomous systems, robotics software, or autonomous vehicle simulations. Experience training and optimizing large-scale models on GPU or TPU clusters for efficient production serving. Professional experience writing C++ for high-performance production systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD", "summaryDescription" : "Senior Machine Learning Engineer, Simulation Evaluation at Waymo. Skills: Machine learning, Generative AI, Simulation evaluation, Deep learning. Lead design, development, and deployment of evaluation approaches. Assess realism of multimodal world models", "postedDate" : "2026-06-15T23:27:27.307", "createdAt" : "2026-06-15T23:27:27.307", "lastUpdated" : "2026-06-16T06:56:42.162", "ingestTimestamp" : "2026-06-15T23:27:27.307", "mongoId" : "6a305b03f292fd229cf58489", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 213000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Deep learning systems", "ML pipelines", "Generative vision paradigms", "Multimodal world models", "Video generation techniques", "Temporal stability", "Multi-modal consistency", "Geometric discrepancy", "Condition following", "Semantic understanding", "Controllability", "4D world modeling", "Generative AI", "Large-scale generative models", "3D generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems development", "Robotics software development", "Autonomous vehicle simulation", "Model training", "Model optimization", "GPU clusters", "TPU clusters", "Production serving", "High-performance systems", "Mentoring", "Machine learning", "Simulation evaluation", "Deep learning", "System design", "Data workflows", "Evaluation tools", "Autonomous driving", "Generative models", "Autonomous systems", "Robotics software", "Jax", "Flax", "PyTorch" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 740.57825, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca35c74d8ee00a09ab603", "title" : "Manufacturing Test Engineer II, Pneumatic Mechanisms & Fluid Assemblies", "company" : "Relativity Space", "industry" : "Manufacturing", "salary" : { "min" : 112000.0, "max" : 143000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Long Beach, California, United States", "locations" : [ "Long Beach", "California", "United States" ], "timestamp" : "2026-06-15T22:08:55.296", "fingerprint" : "d7eff621043a4deb3cb1c5c9e2cd455bb8c6acea6fee68a792103b164906dbe4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/relativity/jobs/8588815002?gh_jid=8588815002", "externalId" : "8588815002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7690164,-118.1916040" } ], "locationText" : "Long Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Stage Manufacturing team turns design into reality, owning the build of Terran R’s primary structures. This isn’t about turning the same bolt every day; it’s about building the systems to build the rocket. Engineers and technicians work side by side, with deep collaboration and real-time feedback, to shape how we build better and faster. With a manifest and a launch date, it’s up to the team to deliver on Terran R: solving challenges in real time, optimizing for scale, and constantly improving processes. As the vehicle evolves, so will the factory, with opportunities to apply automation, machine learning, and advanced technologies. What we build here sets the blueprint for the future of scaled launch. About the Role: Own the development, validation, and refinement of test assets and processes across mechanical, electrical, and pneumatic systems. Collaborate with design and manufacturing partners to ensure production testing campaigns are executed efficiently, reliably and scalable over time. Drive the technical execution of mechanisms and integrated assembly testing through design integration, test equipment/tooling design or sourcing, test sequencing, mBOM development, work order creation, test training, and specification authoring. Provide technical leadership in workcenter development, offering guidance on assembly and test operations, safety compliance, tooling, capital equipment in alignment with organizational objectives. Provide hands-on support to the shop floor and production personnel, promptly addressing any test issues that arise and offering upstream feedback to drive design for manufacturability, testability or reparability. Analyze test data to evaluate assembly performance, identify recurring discrepancies, and lead cross-functional teams in root cause analysis and implementation of corrective actions. Drive cross-functional collaboration with design, production, supply chain, and quality teams to ensure seamless execution of manufacturing test processes while maintaining alignment with organizational objectives. About You: BS degree in aerospace, mechanical, electrical, manufacturing engineering or other related discipline with 5+ years of experience building and testing hardware in a manufacturing environment. Proven experience authoring test procedures to build and validate mechanical, electrical and pneumatic assemblies. Demonstrated experience partnering with design engineering, manufacturing, and production teams to execute test procedures and lead investigations of test failures and anomalies. Proven experience designing, implementing, and managing large-scope test systems and process improvements with minimal oversight. Expert knowledge of safety standards, common test hazards and appropriate mitigations. Hands-on experience in at least two of the following: electromechanical or pneumatic assembly, electrical or pneumatic functional checkouts, integrated testing, leak checking, sensor checkouts, high-voltage systems (320V+), high-pressure pneumatic systems, or instrumentation and sensor setup. Nice to haves but not required: A proactive self-starter with a proven track record of defining and implementing testing processes, driving execution across diverse teams, and successfully managing and delivering testing projects in fast-paced, production-driven environments. Working knowledge of rocket subsystems, including structures, mechanisms, high-pressure gas systems, and avionics, with experience in planning and conducting hazardous operations for aerospace hardware systems. Knowledge of industry test standards, e.g., SMC-S-016, MIL-STD-1540D, MIL-STD-810G. Experience with test automation, data acquisitions and control systems, Electrical Test Equipment (e.g.: oscilloscopes, multimeters etc.), Pressure Test Equipment (e.g.: pressure regulators, flow meter) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $112,000—$143,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com.", "summaryDescription" : "Manufacturing Test Engineer II, Pneumatic Mechanisms & Fluid Assemblies at Relativity Space", "postedDate" : "2026-06-14T21:00:12.695", "createdAt" : "2026-06-14T21:00:12.695", "lastUpdated" : "2026-06-15T22:08:55.296", "ingestTimestamp" : "2026-06-14T21:00:12.695", "mongoId" : "6a2ca35c74d8ee00a09ab603", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112000, "salaryAnnualMax" : 143000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 738.7026, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a5ca974d8ee00a0615ba6", "title" : "Software Engineer, Sensor Simulation", "company" : "Anduril Industries", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Costa Mesa, California, adjusted for the technology industry and company size." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-14T20:22:02.351", "fingerprint" : "540b23f77a58e4c842339a4de99f62ce7ebb255bb3365668b4021a581bb2f75e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5152591007?gh_jid=5152591007", "externalId" : "5152591007", "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Sensor Simulation team at Anduril is building a platform for generating synthetic imagery for a variety of teams across the company. Use cases span a variety of areas, such as SITL (software in the loop) and HITL (hardware in the loop) integration tests of our systems, machine learning (ML) data generation and user training simulations. Our mission is to close the sim2real gap—building synthetic imagery pipelines so realistic and physically accurate that our autonomy stack can't tell the difference between synthetic and real-world data. This directly accelerates development and validation of Anduril's perception and autonomy capabilities. We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform. Candidates must have hands-on background in robotics, autonomy systems, or game engines—we need versatile generalists who can connect cutting-edge graphics with real-world sensor behavior. WHAT YOU'LL DO Develop and maintain core capabilities in Unreal Engine such as a terrain rendering pipeline, vehicle physics models, and many more Work with other platform teams at Anduril to ensure our service integrates seamlessly with other core services Integrate various plugins and third party capabilities into our platform, figuring out how to best make use of them and working around or fixing any bugs Collaborate closely with other teams across the company to enable them to integrate synthetic imagery and bring back lessons learned to help improve our product Iterate on sensor fidelity and environmental realism based on feedback from autonomy teams, bridging the gap between synthetic training data and real-world performance REQUIRED QUALIFICATIONS Must have 4+ years of professional C++ programming experience Must be willing to travel 10% for collaboration across offices Comfortable working in a fast-paced, collaborative environment. Strong communication skills are a must. Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Game Design, Robotics. Proven understanding of data structures, algorithms, concurrency, and code optimization Proficiency with Unreal Engine OR demonstrated experience in robotics/autonomy systems (e.g., sensor simulation, perception pipelines, SITL/HITL testing) Experience troubleshooting and analyzing remotely deployed software systems Experience with various tools for performance analysis and debugging problems (gdb, bpftrace, perf, etc) Eligible to obtain and maintain an active U. S. Secret security clearance PREFERRED QUALIFICATIONS MS in Computer Science or Software Engineering Rust programming experience Experience in a Linux development environment GPU and graphics programming experience, including languages such as HLSL, Vulkan, or CUDA Familiarity with training machine learning models, especially for computer vision use cases Understanding of sensor physics (cameras, LiDAR, radar, EO/IR) and how to model them accurately in simulation Experience with 3D modeling tools US Salary Range $166,000—$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Software Engineer, Sensor Simulation at Anduril Industries", "postedDate" : "2026-06-11T20:10:20.762", "createdAt" : "2026-06-11T20:10:20.762", "lastUpdated" : "2026-06-14T20:22:02.351", "ingestTimestamp" : "2026-06-11T20:10:20.762", "mongoId" : "6a2a5ca974d8ee00a0615ba6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "software-:-software-platform-:-sensor-simulation", "dataQualityScore" : 0.6666667, "_score" : 734.6222, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca35c74d8ee00a09ab651", "title" : "Senior Manufacturing Test Engineer, Pneumatic Mechanisms & Fluid Assemblies", "company" : "Relativity Space", "industry" : "Manufacturing", "salary" : { "min" : 122000.0, "max" : 167000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Long Beach, California, United States", "locations" : [ "Long Beach", "California", "United States" ], "timestamp" : "2026-06-15T07:45:32.447", "fingerprint" : "0660072e3e528ee8c371403dd743061602d419e1b55e6fdb22b95411470610ac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/relativity/jobs/8585896002?gh_jid=8585896002", "externalId" : "8585896002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7690164,-118.1916040" } ], "locationText" : "Long Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical systems, Electrical systems, Pneumatic systems, High-voltage systems, High-pressure pneumatic systems, Test automation, Data acquisition, Control systems", "professionalSkills" : [ "Design integration", "Test sequencing", "Root cause analysis", "Cross-functional collaboration" ], "hardSkillsList" : [ "Test procedure authoring", "Test system design", "Process improvement", "Safety standards", "Hazard mitigation", "Electromechanical assembly", "Pneumatic assembly", "Electrical functional checkouts", "Pneumatic functional checkouts", "Integrated testing", "Leak checking", "Sensor checkout", "High-voltage systems", "High-pressure systems", "Instrumentation setup", "Sensor setup" ], "hardSkills" : [ { "name" : "Test procedure authoring", "level" : "intermediate" }, { "name" : "Test system design", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Safety standards", "level" : "intermediate" }, { "name" : "Hazard mitigation", "level" : "intermediate" }, { "name" : "Electromechanical assembly", "level" : "intermediate" }, { "name" : "Pneumatic assembly", "level" : "intermediate" }, { "name" : "Electrical functional checkouts", "level" : "intermediate" }, { "name" : "Pneumatic functional checkouts", "level" : "intermediate" }, { "name" : "Integrated testing", "level" : "intermediate" }, { "name" : "Leak checking", "level" : "intermediate" }, { "name" : "Sensor checkout", "level" : "intermediate" }, { "name" : "High-voltage systems", "level" : "intermediate" }, { "name" : "High-pressure systems", "level" : "intermediate" }, { "name" : "Instrumentation setup", "level" : "intermediate" }, { "name" : "Sensor setup", "level" : "intermediate" } ], "majorSkills" : "Pneumatic mechanisms, Fluid assemblies, Manufacturing test", "majorSkillsList" : [ "Pneumatic mechanisms", "Fluid assemblies", "Manufacturing test" ], "coreResponsibilities" : "Own development, validation, and refinement of test assets, Collaborate with design and manufacturing partners, Ensure production testing campaigns are executed efficiently, reliably, Drive technical execution of mechanisms and integrated assembly, Provide technical leadership in workcenter development, Offer guidance on assembly and test operations, Provide hands-on support to the shop floor, Promptly address any test issues, Offer upstream feedback to drive design for manufacturability, Analyze test data to evaluate assembly performance, Identify recurring discrepancies, Lead cross-functional teams in root cause analysis, Implement corrective actions, Drive cross-functional collaboration with design, production, supply chain,, Ensure seamless execution of manufacturing test processes", "teamCollaboration" : "Design and manufacturing partners; Cross-functional teams; Design, production, supply chain, and quality teams", "projectManagementSkills" : [ "Process management", "Project delivery" ], "domainKnowledge" : "Pneumatic mechanisms; Fluid assemblies; Rocket subsystems; High-pressure gas systems; Aerospace hardware systems; Industry test standards", "domainList" : [ "pneumatic-mechanisms", "fluid-assemblies", "rocket-subsystems", "high-pressure-gas-systems", "aerospace-hardware-systems", "industry-test-standards" ], "domainSpecificKnowledge" : [ "Pneumatic mechanisms", "Fluid assemblies", "Rocket subsystems", "High-pressure gas systems", "Aerospace hardware systems", "Industry test standards" ], "toolProficiency" : [ "Oscilloscopes", "Multimeters", "Pressure regulators", "Flow meter" ], "documentationSkills" : "Specification authoring; Test procedures", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "BS degree in aerospace, mechanical, electrical, manufacturing engineering, 5+ years of experience building and testing hardware, Proven experience authoring test procedures, Demonstrated experience partnering with design engineering, manufacturing, and production teams, Proven experience designing, implementing, and managing large-scope test systems, Expert knowledge of safety standards, common test hazards and appropriate mitigations, Hands-on experience in at least two of the following: electromechanical or pneumatic assembly, electrical or pneumatic functional checkouts, integrated testing, leak checking, sensor checkouts, high-voltage systems (320V+), high-pressure pneumatic systems, or instrumentation and sensor setup", "qualificationsPreferred" : "Proactive self-starter with a proven track record of defining and implementing testing processes, Driving execution across diverse teams, Successfully managing and delivering testing projects, Working knowledge of rocket subsystems, Experience in planning and conducting hazardous operations for aerospace hardware systems, Knowledge of industry test standards, e. g. , SMC-S-016, MIL-STD-1540D, MIL-STD-810G, Experience with test automation, data acquisitions and control systems, Electrical Test Equipment (e. g. : oscilloscopes, multimeters etc. ), Pressure Test Equipment (e. g. : pressure regulators, flow meter)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Stage Manufacturing team turns design into reality, owning the build of Terran R’s primary structures. This isn’t about turning the same bolt every day; it’s about building the systems to build the rocket. Engineers and technicians work side by side, with deep collaboration and real-time feedback, to shape how we build better and faster. With a manifest and a launch date, it’s up to the team to deliver on Terran R: solving challenges in real time, optimizing for scale, and constantly improving processes. As the vehicle evolves, so will the factory, with opportunities to apply automation, machine learning, and advanced technologies. What we build here sets the blueprint for the future of scaled launch. About the Role: Own the development, validation, and refinement of test assets and processes across mechanical, electrical, and pneumatic systems. Collaborate with design and manufacturing partners to ensure production testing campaigns are executed efficiently, reliably and scalable over time. Drive the technical execution of mechanisms and integrated assembly testing through design integration, test equipment/tooling design or sourcing, test sequencing, mBOM development, work order creation, test training, and specification authoring. Provide technical leadership in workcenter development, offering guidance on assembly and test operations, safety compliance, tooling, capital equipment in alignment with organizational objectives. Provide hands-on support to the shop floor and production personnel, promptly addressing any test issues that arise and offering upstream feedback to drive design for manufacturability, testability or reparability. Analyze test data to evaluate assembly performance, identify recurring discrepancies, and lead cross-functional teams in root cause analysis and implementation of corrective actions. Drive cross-functional collaboration with design, production, supply chain, and quality teams to ensure seamless execution of manufacturing test processes while maintaining alignment with organizational objectives. About You: BS degree in aerospace, mechanical, electrical, manufacturing engineering or other related discipline with 5+ years of experience building and testing hardware in a manufacturing environment. Proven experience authoring test procedures to build and validate mechanical, electrical and pneumatic assemblies. Demonstrated experience partnering with design engineering, manufacturing, and production teams to execute test procedures and lead investigations of test failures and anomalies. Proven experience designing, implementing, and managing large-scope test systems and process improvements with minimal oversight. Expert knowledge of safety standards, common test hazards and appropriate mitigations. Hands-on experience in at least two of the following: electromechanical or pneumatic assembly, electrical or pneumatic functional checkouts, integrated testing, leak checking, sensor checkouts, high-voltage systems (320V+), high-pressure pneumatic systems, or instrumentation and sensor setup. Nice to haves but not required: A proactive self-starter with a proven track record of defining and implementing testing processes, driving execution across diverse teams, and successfully managing and delivering testing projects in fast-paced, production-driven environments. Working knowledge of rocket subsystems, including structures, mechanisms, high-pressure gas systems, and avionics, with experience in planning and conducting hazardous operations for aerospace hardware systems. Knowledge of industry test standards, e.g., SMC-S-016, MIL-STD-1540D, MIL-STD-810G. Experience with test automation, data acquisitions and control systems, Electrical Test Equipment (e.g.: oscilloscopes, multimeters etc.), Pressure Test Equipment (e.g.: pressure regulators, flow meter) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $122,000—$167,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com.", "summaryDescription" : "Senior Manufacturing Test Engineer, Pneumatic Mechanisms & Fluid Assemblies at Relativity Space. Skills: Pneumatic mechanisms, Fluid assemblies, Manufacturing test. Own development, validation, and refinement of test assets. 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"greenhouse", "language" : "en", "applyUrl" : "https://www.psiquantum.com/apply?gh_jid=7767545003", "externalId" : "7767545003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "FEA, CFD, ANSYS, COMSOL, Fluent", "professionalSkills" : [ "Tolerance analyses", "Simulation-driven design" ], "hardSkillsList" : [ "Thermal conduction", "Convective heat transfer", "Solid mechanics", "Stress analysis", "Strain analysis", "Fatigue analysis", "Creep analysis", "Constitutive models", "Elastic materials", "Visco-plastic materials", "Plastic materials", "Mechanical fatigue models", "Warpage analysis", "Deformation analysis", "Nonlinear material behavior", "Thermal expansions", "Temperature gradients", "Interface 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"Thermal expansions", "level" : "intermediate" }, { "name" : "Temperature gradients", "level" : "intermediate" }, { "name" : "Interface degradation", "level" : "intermediate" }, { "name" : "Reliability modeling", "level" : "intermediate" } ], "majorSkills" : "FEA/CFD modeling, Thermal analysis, Mechanical simulation, Semiconductor industry", "majorSkillsList" : [ "FEA/CFD modeling", "Thermal analysis", "Mechanical simulation", "Semiconductor industry" ], "coreResponsibilities" : "Develop detailed FEA/CFD models, Correlate FEA results with experimental measurements, Improve model fidelity, Support simulation-driven design decisions, Perform warpage and deformation analysis, Develop thermal cycling and mechanical fatigue models, Predict long-term reliability, Identify mechanical risk drivers, Recommend design, material, or process changes, Analyze failures related to electro-optical assembly design, Provide solutions for failures, Manage requirements, Select materials and components, Perform Design Failure Modes and Effects Analysis, Perform tolerance analyses, Develop end-to-end simulation workflows, Automate processes, Assess performance across diverse operating scenarios, Document results, Communicate results through technical reports, Communicate results through design reviews, Communicate results through executive level summaries", "domainKnowledge" : "Quantum computing; Silicon photonics; Semiconductor manufacturing; Electro-optical sub-assemblies; Optical system specifications; Optical component specifications; Advanced semiconductor packaging; Solder joints", "domainList" : [ "quantum-computing", "silicon-photonics", "semiconductor-manufacturing", "electro-optical-sub-assemblies", "optical-system-specifications", "optical-component-specifications", "advanced-semiconductor-packaging", "solder-joints" ], "domainSpecificKnowledge" : [ "Quantum computing", "Silicon photonics", "Semiconductor manufacturing", "Electro-optical sub-assemblies", "Optical system 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Sc. or Ph. D in Mechanical Engineering, Electrical Engineering and Physics or related field, 5+ years of hands-on modeling and simulation experience in the semiconductor industry, understanding of thermal conduction and convective heat transfer methodologies, Deep knowledge of solid mechanics principles, Proficiency with simulation tools such as ANSYS, COMSOL, or equivalent", "qualificationsPreferred" : "Experience with Ansys AEDT and Ansys Sherlock, Understanding advanced semiconductor packaging, Knowledge of common optical system specifications, Exposure to SOC thermal mechanical analysis, Exposure to optical structural analysis", "workSiteFlexibility" : "Onsite", "rawDescription" : "PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: The system engineering department is hiring a thermal mechanical engineer. You will be responsible for performing structural and thermal simulations to optimize the design of electro-optical sub-assemblies. Your work will directly impact on the performance and reliability of our quantum computer sub-systems. Responsibilities: Develop detailed FEA/CFD models of components, packages, optical-electronic modules, and system-level assemblies using appropriate simulation tools such as ANSYS, COMSOL, or equivalent platforms. Correlate FEA results with experimental measurements, prototype test data, and hardware observations to improve model fidelity and support simulation-driven design decisions. Perform warpage and deformation analysis for multi‑material assemblies, accounting for mismatch in thermal expansions, nonlinear material behavior, temperature gradients, and boundary conditions. Develop thermal cycling and mechanical fatigue models to predict long‑term reliability, including creep, stress relaxation, and interface degradation. Identify mechanical risk drivers and recommend design, material, or process changes to improve robustness, manufacturability, and yield. Analyze failures related to electro-optical assembly design and providing solutions. General design activities such as requirements management, materials and component selection, Design Failure Modes and Effects Analysis (FMEA), and tolerance analyses. Develop end-to-end simulation workflows to automate processes, assess performance across diverse operating scenarios, documentation, and tools to improve efficiency, accuracy, and repeatability. Document and communicate results through clear technical reports, design reviews, and executive level summaries. Experience/Qualifications: M.Sc., or Ph.D in Mechanical Engineering, Electrical Engineering and Physics or related field. 5+years of hands-on modeling and simulation experience in the semiconductor industry. Strong understanding of thermal conduction and convective heat transfer methodologies. Deep knowledge of solid mechanics principles, including stress, strain, fatigue, creep, constitutive models of elastic, visco-plastic, and plastic materials. Proficiency with simulation tools such as ANSYS (Mechanical, Icepak and Fluent), COMSOL, or equivalent, including nonlinear and transient analyses. Working knowledge of lab-scale validation techniques. Desired Skills/Experience: Experience with Ansys AEDT and Ansys Sherlock. Understanding advanced semiconductor packaging, solder joints, and reliability modeling techniques. Knowledge of common optical system specifications and optical component specifications. Exposure to SOC thermal mechanical analysis. Exposure to optical structural analysis. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com. We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U. S. Base Pay Range $100,000—$145,000 USD Bay Area Pay Range $140,000—$160,000 USD", "summaryDescription" : "Thermal Mechanical Engineer at PsiQuantum. Skills: FEA/CFD modeling, Thermal analysis, Mechanical simulation, Semiconductor industry. Develop detailed FEA/CFD models. 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"2026-06-15T01:32:49.387", "fingerprint" : "25f8cb6d5113e9fb9799c7d9122fbda157caec99ed252761b0c2309efb43dccf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051205/apply", "externalId" : "247c4c39-3778-41ea-87bd-f5d4c4ba6e63", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ARM, QEMU, TCP/IP, FreeRTOS, Linux, RTOS, AWS, Docker, IPv4, IPv6, Mobile IP, LTE, 802.16e, 802.11b/g/n/ac, PowerPC, x86", "professionalSkills" : [ "System design", "Software engineering practices", "Engineering excellence" ], "hardSkillsList" : [ "Embedded software testing", "Distributed systems", "Cloud-based services", "Embedded modeling", "Simulation", "Wireless Networks", "Systems integration", "Testing methodologies", "Network protocols", "QoS algorithms", "Cellular network protocols", "Satellite network protocols", "Software defined networks", "Network security", "Linux based software", "Microcontrollers", "Hardware emulations", "Software emulations", "Low-latency architecture", "Highly scalable architecture" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Embedded software testing", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Cloud-based services", "level" : "intermediate" }, { "name" : "Embedded modeling", "level" : "intermediate" }, { "name" : "Simulation", "level" : "intermediate" }, { "name" : "Wireless Networks", "level" : "intermediate" }, { "name" : "Systems integration", "level" : "intermediate" }, { "name" : "Testing methodologies", "level" : "intermediate" }, { "name" : "Network protocols", "level" : "intermediate" }, { "name" : "QoS algorithms", "level" : "intermediate" }, { "name" : "Cellular network protocols", "level" : "intermediate" }, { "name" : "Satellite network protocols", "level" : "intermediate" }, { "name" : "Software defined networks", "level" : "intermediate" }, { "name" : "Network security", "level" : "intermediate" }, { "name" : "Linux based software", "level" : "intermediate" }, { "name" : "Microcontrollers", "level" : "intermediate" }, { "name" : "Hardware emulations", "level" : "intermediate" }, { "name" : "Software emulations", "level" : "intermediate" }, { "name" : "Low-latency architecture", "level" : "intermediate" }, { "name" : "Highly scalable architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Embedded software, Simulation foundations, Distributed systems, Cloud services", "majorSkillsList" : [ "Embedded software", "Simulation foundations", "Distributed systems", "Cloud services" ], "coreResponsibilities" : "Design distributed systems, Implement distributed systems, Operate distributed systems, Build systems using AWS technologies, Invent new tools, Enable frequent deployment, Enable reliable deployment, Enable test execution, Enable data analysis, Develop tools for test execution, Design distributed cloud services, Implement distributed cloud services, Design APIs, Implement APIs, Partner with device software teams, Partner with frontend teams, Partner with networking teams, Partner with security teams, Evangelize engineering excellence, Mentor junior engineers, Design embedded modeling, Implement embedded modeling, Design simulation, Implement simulation, Write Linux based software, Build hardware emulations, Build software emulations, Create new cloud services, Create new APIs, Facilitate simulation, Orchestrate simulation", "teamCollaboration" : "Device software teams; Frontend teams; Networking teams; Security teams; Infra team", "projectManagementSkills" : [ "Continuous integration", "Release system", "Software development life cycle", "Code reviews", "Source control management", "Build processes", "Operations" ], "domainKnowledge" : "Broadband access technologies; Wireless Networks; Satellite constellation operation; LEO satellites; Global broadband; Digital divide; Network protocols; Protocol standards; Object-oriented programming; LTE; WiMax; WiFi; TCP/IP; QoS algorithms; Cellular network protocols; Satellite network protocols; Software defined networks; Network security; Embedded systems; Cloud services; APIs; Simulation; Hardware emulation; Software emulation; Low-latency architecture; Scalable architecture", "domainList" : [ "broadband-access-technologies", "wireless-networks", "satellite-constellation-operation", "leo-satellites", "global-broadband", "digital-divide", "network-protocols", "protocol-standards", "object-oriented-programming", "lte", "wimax", "wifi", "tcp-ip", "qos-algorithms", "cellular-network-protocols", "satellite-network-protocols", "software-defined-networks", "network-security", "embedded-systems", "cloud-services", "apis", "simulation", "hardware-emulation", "software-emulation", "low-latency-architecture", "scalable-architecture" ], "domainSpecificKnowledge" : [ "Broadband access technologies", "Wireless Networks", "Satellite constellation operation", "LEO satellites", "Global broadband", "Digital divide", "Network protocols", "Protocol standards", "Object-oriented programming", "LTE", "WiMax", "WiFi", "TCP/IP", "QoS algorithms", "Cellular network protocols", "Satellite network protocols", "Software defined networks", "Network security", "Embedded systems", "Cloud services", "APIs", "Simulation", "Hardware emulation", "Software emulation", "Low-latency architecture", "Scalable architecture" ], "toolProficiency" : [ "QEMU", "Docker" ], "innovationCreativity" : "Invent new tools", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Debugging", "specialRequirements" : "Export Control Requirement", "qualificationsBasic" : "5+ years of programming experience, 5+ years of professional software development experience, 5+ years of leading design or architecture experience, U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as refugee, Granted asylum", "qualificationsPreferred" : "5+ years of full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. This role of a Sr. Embedded Software Engineer who will design, implement, and operate globally available distributed systems geared towards giving Kuiper the ability to operate within realistic virtual Kuiper environments at scale. You’ll build systems using the latest AWS technologies, leveraging best-in-industry software engineering practices. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities ARM A, M series or ARC processor emulator experience. e.g. QEMU Knowledge of networking protocols and applications, including TCP/IP. should include L1-L2. embedded software testing tool development have worked on FreeRTOS or any real time operation system before. Have expertise with Linux and RTOS Invent new tools that enable more frequent and reliable software deployment, test execution, and data analysis as part of a continuous integration and release system. Develop tools that allow for test execution across multiple environments: virtualized hardware, real hardware-in-the-loop simulations, and on-orbit testing. Design and Implement Distributed Cloud-based Services and APIs Experience with Docker, Partner with device software, frontend, networking, and security engineering teams Evangelize engineering excellence best practices and mentor junior engineers. Design and Implement embedded modeling and simulation for broadband access technologies: LTE, WiMax, WiFi or similar Solid aptitude in protocol standards such as IPv4, IPv6, Mobile IP, LTE, 802.16e, 802.11b/g/n/ac. Knowledge of object-oriented programming concepts. Strong theoretical background in Wireless Networks. Experience with systems integration and testing methodologies. Knowledge in several of the following: network protocols and applications including TCP/IP, QoS algorithms, cellular/satellite network protocols, software defined networks, network security. Write high-quality Linux based software for common processors and microcontrollers (e.g. ARM, PowerPC, x86, etc.) Deep understanding of testing, continuous integration, build, deployment & continuous monitoring. A day in the life This role is for a Embedded Software Engineer who will build Hardware and software emulations and work with infra team to create new cloud services and APIs that facilitates and orchestrates simulation of software on Kuiper devices such as satellites, ground gateways, and customer terminals. You will be building low-latency, highly scalable architecture that are critical to getting high quality internet service to customers. Basic Qualifications: - 5+ years of programming with at least one software programming language experience - 5+ years of non-internship professional software development experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Embedded Software Engineer, Simulation Foundations at Amazon Kuiper. Skills: Embedded software, Simulation foundations, Distributed systems, Cloud services. Design distributed systems. 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