{ "count" : 100728, "data" : [ { "id" : "6a3057b0f292fd229cf3d1ad", "title" : "Model-Based Systems Engineer", "company" : "STR", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Model-Based Systems Engineer in Arlington, United States, adjusted for the technology industry and company size." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States", "Dayton", "Ohio", "United States", "Woburn", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:27:42.989", "fingerprint" : "4c6e54a66b20b9ef01387c586df853cc9587bf0075fa02b8d86b7bd5d687c7e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/systemstechnologyresearch/jobs/4688995006", "externalId" : "4688995006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "rawDescription" : "STR is hiring a Model-Based Systems Engineer (MBSE) to work across a broad portfolio of DoD mission areas. The Systems Engineer should have experience architecting systems, working across the Systems Engineering Lifecycle, a deep understanding of Systems Engineering principles, reverse engineering techniques, and the ability to work with complex software systems and the utilization of Digital Engineering/MBSE to accomplish program goals. The candidate will support STR’s Systems Development Division to achieve architectural integrity and traceability from requirements analysis through system and software development and production system deployment. This position offers the opportunity to work with leading domain experts developing solutions to solve the most challenging national security problems. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. The ideal candidate will be experienced in Systems Engineering processes and techniques, Modeling and Simulation, software-based systems, Digital Engineering/MBSE and be excited about opportunities to grow and be a source of subject matter expertise across the organization. The Systems Engineer should have experience implementing a rigorous MBSE approach to develop DoD systems. New programs at STR will be looking to adopt agile approaches that incorporate model-based requirements management and traceability with software development. This position is well suited for a Systems Engineer with a software systems background who is interested in improving the state of the practice and demonstrating the advantages that MBSE can offer. What you will do: Utilize your Systems Engineering skillset as part of a tightly knit team to design, develop, implement, and deploy advanced software systems Analyze, reverse-engineer, derive, and define requirements from ambiguous or incomplete software system implementations and codebases Develop/generate documentation (e. g. Systems Requirements Document, SysML models) to capture requirements of new and existing systems Perform gap analysis between derived requirements and current system capabilities to identify missing features or functionalities Assist other technical contributors throughout the software lifecycle, from early prototypes to fully integrated systems Implement MBSE approaches using SysML in Cameo Work closely with domain experts and software development teams to realize program designs for a diverse set of applications, including: Distributed mission planning Intelligence Surveillance Reconnaissance (ISR) management Decision making support to human analysts/planners This position is based in one of our offices but will take advantage of STR’s flexible, hybrid environment: we anticipate that you could work remotely as much as 25% of the time Any time work does not require use of STR’s facilities, you are welcome to work remotely Who you are: This position requires an Active DoD Top Secret Clearance with SCI eligibility, for which U. S. citizenship is needed by U. S. Government BS, MS or PhD in Systems Engineering, Computer Science, Aerospace Engineering, Electrical Engineering, or a related technical field Experience implementing open architectures and integrating with large scale software-intensive systems and platform systems Strong ability to derive requirements from existing software and capture new customer requirements, and translate those into development tasks for software teams Comfortable working in dynamic environments and adjusting to changing priorities Minimum of 2 years work experience as a Systems Engineer or related field Experience architecting systems using system modeling tools (SysML in Cameo) Even Better: Domain expertise or familiarity with one or more of the following areas is highly desirable: Sea, air, and space platforms, mission planning, and C2 systems Sensor Resource Management Electronic Warfare Software deployment in cloud-based systems Government Open System Architectures (UCI, OMS, COARPS) 5+ years of experience in architecting systems using system modeling tools (SysML in Cameo) Experience porting models/designs from SparxEA to Cameo Experience in Java, Python, or object-oriented programming languages Agile software development experience and/or certification Pay Information Full-Time Salary Range: $110,000 - $150,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.", "summaryDescription" : "Model-Based Systems Engineer at STR", "postedDate" : "2026-06-15T23:22:53.102", "createdAt" : "2026-06-15T23:22:53.102", "lastUpdated" : "2026-06-16T08:27:42.989", "ingestTimestamp" : "2026-06-15T23:22:53.102", "mongoId" : "6a3057b0f292fd229cf3d1ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191c0e58b93c861e381845", "title" : "Software Engineering Intern, Systems", "company" : "Bear Robotics", "industry" : "Technology", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Software Engineering Intern in Redwood City, CA, adjusted for the technology industry and company size." }, "location" : "Redwood City, CA", "locations" : [ "Redwood City", "CA" ], "timestamp" : "2026-06-15T08:54:34.373", "fingerprint" : "9b6e4072a3f1c9d18a1c9b28d2b7bcf6849483061345b5393097887aeee25b1d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bear-robotics.breezy.hr/p/861b391f128a-software-engineering-intern-systems", "externalId" : "861b391f128a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "TEMPORARY", "technicalSkills" : "Linux", "majorSkills" : "Systems Engineering", "majorSkillsList" : [ "Systems Engineering" ], "coreResponsibilities" : "Automate internal systems, Manage internal systems, Scale internal systems", "teamCollaboration" : "Infrastructure team; DevOps team", "domainKnowledge" : "Systems-level engineering", "domainList" : [ "systems-level-engineering" ], "domainSpecificKnowledge" : [ "Systems-level engineering" ], "qualificationsBasic" : "Linux experience, Infrastructure tooling experience, Systems-level engineering experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Systems Engineering Intern About the Role: We’re looking for a Systems Engineering Intern who is passionate about Linux, infrastructure tooling, and systems-level engineering. You’ll work closely with the Infrastructure and DevOps team to help automate, manage, and scale internal systems using too", "summaryDescription" : "Software Engineering Intern, Systems at Bear Robotics. Skills: Systems Engineering. Automate internal systems. Manage internal systems", "createdAt" : "2026-06-13T23:58:50.486", "lastUpdated" : "2026-06-15T08:54:34.373", "ingestTimestamp" : "2026-06-13T23:58:50.486", "mongoId" : "6a191c0e58b93c861e381845", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Systems Engineering", "Systems-level engineering" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b58f292fd229cf5ca02", "title" : "Embedded Systems & ML Engineering Intern", "company" : "1st Avenue Power", "industry" : "Climate Tech", "salary" : { "min" : 30.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bay Area, California, United States", "locations" : [ "Bay Area", "California", "United States" ], "timestamp" : "2026-06-16T08:55:21.778", "fingerprint" : "078d1480659c2928d719a86fa00b903f2755c2d038c6d504527a0eb55cbe1bf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1stavenuepower/jobs/5263101008", "externalId" : "5263101008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "C, C++, Python, Machine Learning, Git, TensorFlow Lite, ONNX Runtime, UART, SPI, I2C, CAN, AWS IoT, Azure IoT Hub, DSP", "professionalSkills" : [ "Firmware development", "Code reviews", "Root cause analysis", "ML model optimization", "Model quantization" ], "hardSkillsList" : [ "Hardware bring-up", "Firmware development", "Embedded systems", "Real-time systems", "Device drivers", "Scheduling tasks", "Interrupt handling", "Low-power modes", "Version control", "ML model deployment", "Edge computing" ], "hardSkills" : [ { "name" : "Hardware bring-up", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" }, { "name" : "Scheduling tasks", "level" : "intermediate" }, { "name" : "Interrupt handling", "level" : "intermediate" }, { "name" : "Low-power modes", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Edge computing", "level" : "intermediate" } ], "majorSkills" : "Embedded Systems, Firmware Development, Machine Learning", "majorSkillsList" : [ "Embedded Systems", "Firmware Development", "Machine Learning" ], "coreResponsibilities" : "Review hardware for solar systems, Modify embedded firmware in C/C++, Develop device drivers, Implement scheduling tasks, Handle interrupt handling, Implement low-power modes, Port firmware to new hardware, Maintain version-controlled codebases, Conduct firmware testing, Perform code reviews, Analyze field issues, Review ML models for PV fault detection, Optimize trained models for edge devices, Quantize trained models for edge devices, Integrate ML outputs into dashboards, Integrate ML outputs into control loops", "teamCollaboration" : "Work with senior engineers; Collaborate with data engineering", "domainKnowledge" : "Solar energy systems; PV fault detection; Edge devices; Microcontrollers; Real-time microcontroller environments; Constrained compute; Constrained memory; IoT architectures", "domainList" : [ "solar-energy-systems", "pv-fault-detection", "edge-devices", "microcontrollers", "real-time-microcontroller-environments", "constrained-compute", "constrained-memory", "iot-architectures" ], "domainSpecificKnowledge" : [ "Solar energy systems", "PV fault detection", "Edge devices", "Microcontrollers", "Real-time microcontroller environments", "Constrained compute", "Constrained memory", "IoT architectures" ], "toolProficiency" : [ "Git", "TensorFlow Lite", "ONNX Runtime" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "5-15% travel", "qualificationsBasic" : "B. S. or M. S. in Computer Science or Computer Engineering, Basic proficiency in C or C++, Exposure to Python and an ML framework, Familiarity with version control (Git)", "qualificationsPreferred" : "Exposure to edge ML deployment tools, Knowledge of embedded communication protocols, Exposure to cloud-connected IoT architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What You’ll Do Join our engineering team for a hands-on summer or co-op rotation spanning hardware bring-up, firmware development, and introductory machine learning on live solar energy systems. You’ll work directly with senior engineers and contribute meaningfully from day one. Key Responsibilities: Review and become familiar with hardware for solar monitoring and control systems, including MCUs, ADCs, and communication interfaces. Modify embedded firmware in C/C++ for real-time microcontroller environments (TI DSP), including device drivers, scheduling tasks, interrupt handling, and low-power modes. Port and adapt existing firmware to new hardware revisions and maintain version-controlled codebases. Conduct firmware testing, code reviews, and root cause analysis on field issues. Review current ML models for PV fault detection and performance optimization. Optimize and quantize trained models for deployment on edge devices with constrained compute and memory. Collaborate with data engineering teams to integrate ML outputs into monitoring dashboards and control loops. What We’re Looking For The skill you bring: Currently pursuing a B. S. or M. S. in Computer Science or Computer Engineering. Basic proficiency in C or C++ (coursework and personal projects accepted). Exposure to Python and an ML framework. Familiarity with version control (Git). Curiosity and willingness to work hands-on across hardware and software boundaries. Nice to Have: Exposure to edge ML deployment tools such as TensorFlow Lite or ONNX Runtime. Knowledge of embedded communication protocols (UART, SPI, I2C, CAN). Exposure to cloud-connected IoT architectures (AWS IoT, Azure IoT Hub). Benefits and Perks: Competitive Compensation Package Remote Flexibility with 5-15% travel to sites as needed Health Insurance: We offer 100% coverage of employee premiums under a Gold-level PPO plan. Dental & Vision Insurance: 50% of employee premiums are covered. Retirement Plan: A 401(k) plan with a 6% employer match. Additional Information: Minimum hourly rate of $30.00 to maximum hourly rate of $50.00 + benefits. The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. About 1st Avenue Power: At 1st Avenue Power, we are on a mission to deliver simple, fast-to-deploy, customer-centric and intelligent power systems leveraging the abundance of solar to provide inexpensive and reliable clean energy to global customers from data centers to energy starved communities around the world. We envision a future where every community, business, and nation thrives on the limitless potential of clean energy, united in a shared commitment to a sustainable and equitable world. You will be working with Dr. Tom Buttgenbach, one of the most successful clean energy technology innovators and entrepreneurs who has been a driving force in making solar-based energy solutions the cheapest and most reliable energy option. Tom founded and led Avantus (formerly known as “8minute Solar Energy“), to become one of the largest and most profitable solar and energy storage companies in the United States and the largest in California, including delivering over 17% of Los Angeles’ power. When Tom sold his interest in Avantus’ development business to KKR in mid-2024, it had delivered over $1 billion in profit and secured over $10 Billion in power purchase agreements and project financings with a pipeline of over 30 GW of solar and 90 GWh of energy storage, capable of powering the homes of more than 20 million Americans day and night. Tom’s family office investment firm, 1st Avenue Capital, is building teams for the next generation of advanced solar power system architecture and AI to aggressively drive down the cost of and equitable access to clean and reliable energy.[1] 1st Avenue’s advanced large scale power systems are addressing the increasing inadequacy of the grid to meet the massively growing power demands of the digital economy, while its intelligent distributed solar utilities are leapfrogging the grid to provide equitable access to inexpensive, clean and reliable power to underserved communities around the world. 1AI Energy, the employing entity for 1st Avenue Power, and 1st Avenue Power are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race (inclusive of traits associated with race, including hair texture and protective hairstyles), color, religion, religious creed, national origin, ancestry, sex (including pregnancy, childbirth, and breastfeeding), age, veteran or military status, marital status, physical or mental disability, medical condition, genetic information, gender, gender identity, gender expression, sexual orientation, reproductive decision-making, or any other legally recognized protected class under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act (ADA), the California Fair Employment and Housing Act (FEHA), and local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on 1AI Energy or 1st Avenue Power. Please inform the company's personnel representative if you need assistance completing an application or to otherwise participate in the application process. Join our team and make a real difference in the world. [1: Additionally, 1st Avenue is in the business of acquiring projects where there has been a final notice-to-proceed or financial close.] California Pay Range $30—$50 USD", "summaryDescription" : "Embedded Systems & ML Engineering Intern at 1st Avenue Power. Skills: Embedded Systems, Firmware Development, Machine Learning. Review hardware for solar systems. Modify embedded firmware in C/C++", "postedDate" : "2026-06-15T23:23:57.339", "createdAt" : "2026-06-15T23:23:57.339", "lastUpdated" : "2026-06-16T08:55:21.778", "ingestTimestamp" : "2026-06-15T23:23:57.339", "mongoId" : "6a305b58f292fd229cf5ca02", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62400, "salaryAnnualMax" : 104000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Hardware bring-up", "Firmware development", "Embedded systems", "Real-time systems", "Device drivers", "Scheduling tasks", "Interrupt handling", "Low-power modes", "Version control", "ML model deployment", "Edge computing", "Embedded Systems", "Firmware Development", "Machine Learning", "Code reviews", "Root cause analysis", "ML model optimization", "Model quantization", "Solar energy systems", "PV fault detection", "Edge devices", "Microcontrollers", "Real-time microcontroller environments", "Constrained compute", "Constrained memory", "IoT architectures", "Git", "TensorFlow Lite", "ONNX Runtime" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6d1474d8ee00a091d109", "title" : "Avionics Integration & Test Engineering Intern (Summer 2026)", "company" : "Second Order Effects", "industry" : "Consulting", "salary" : { "min" : 70400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-15T08:13:38.417", "fingerprint" : "2238981d442421ea0ac13b18f978e6cd475010d823e6ea6e39da97aae5629c9c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/soeffects/jobs/7767674003", "externalId" : "7767674003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, Object-oriented programming, Electrical circuits, Electronics fundamentals, UART, SPI, I2C, CAN, MIL-STD-1553", "professionalSkills" : [ "Instrumentation applications", "Test equipment operation", "Data acquisition", "Hardware debugging" ], "hardSkillsList" : [ "Test data analysis", "Electrical engineering", "Aerospace engineering", "Computer science", "Mechanical engineering", "Physics" ], "softSkillsList" : [ "Empower others" ], "hardSkills" : [ { "name" : "Test data analysis", "level" : "intermediate" }, { "name" : "Electrical engineering", "level" : "intermediate" }, { "name" : "Aerospace engineering", "level" : "intermediate" }, { "name" : "Computer science", "level" : "intermediate" }, { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Empower others" } ], "majorSkills" : "Avionics integration, Test engineering, Data acquisition", "majorSkillsList" : [ "Avionics integration", "Test engineering", "Data acquisition" ], "coreResponsibilities" : "Operate data acquisition systems, Capture and analyze test data, Document results clearly, Flag anomalies for review, Write clear procedures, Communicate findings to engineers", "teamCollaboration" : "Team-based design; Team interaction", "domainKnowledge" : "Avionics interfaces; Aerospace environmental testing; Avionics standards; DO-178C; DO-254", "domainList" : [ "avionics-interfaces", "aerospace-environmental-testing", "avionics-standards", "do-178c", "do-254" ], "domainSpecificKnowledge" : [ "Avionics interfaces", "Aerospace environmental testing", "Avionics standards", "DO-178C", "DO-254" ], "toolProficiency" : [ "Oscilloscopes", "DMMs", "Power supplies", "Thermal chambers", "Git" ], "communicationSkills" : "Document test results; Communicate findings", "documentationSkills" : "Document results; Technical documentation", "continuousLearning" : "Desire to understand; Never stop learning", "innovationCreativity" : "First principles", "problemSolvingSkills" : "Debugging; Troubleshooting", "specialRequirements" : "Export controlled projects, 40 hours a week, 12-to-16 week internship", "qualificationsBasic" : "Current college enrollment, Programming experience Python, Basic electrical circuits knowledge, Familiarity avionics interfaces, Attention to detail, Written and verbal communication", "qualificationsPreferred" : "Experience team-based design, Familiarity aerospace environmental testing, Experience automated test systems, Exposure hardware-in-the-loop, Familiarity avionics standards, Experience Linux operating systems, Exposure version control systems, Understanding signal integrity concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Role Overview: As an Avionics Integration document results clearly and flag anomalies for engineering review Data Acquisition: Operate data acquisition systems and test equipment (oscilloscopes, DMMs, power supplies, thermal chambers, etc.) to capture and analyze test data What You Will Need: Current enrollment in college (Electrical Engineering, Aerospace Engineering, Computer Science, Mechanical Engineering, Physics, or related field) Programming experience with Python or another object-oriented language, including writing maintainable, readable code for test or instrumentation applications Basic knowledge of electrical circuits, signals, and electronics fundamentals Familiarity with avionics interfaces or communication protocols (e.g., UART, SPI, I2C, CAN, MIL-STD-1553, or similar) Strong attention to detail when handling flight hardware, test equipment, and technical documentation Curiosity and drive to learn in a fast-paced, hardware-forward environment; comfort taking instruction and asking questions Strong written and verbal communication skills; ability to document test results, write clear procedures, and communicate findings to engineers What Would Be Useful: Experience in a team-based design and build project (e.g., CubeSat, Formula SAE, Rover Challenge, rocketry, or similar) Familiarity with aerospace environmental testing, including thermal cycling, vibration, shock, thermal vacuum (TVAC), and EMI/EMC Experience with automated test systems, data logging software, or lab instruments controlled via Python Exposure to hardware-in-the-loop (HITL) or software-in-the-loop (SITL) test architectures Familiarity with avionics standards or DO-178C/DO-254 test concepts Experience with Linux operating systems and command-line environments Exposure to version control systems (e.g., Git) for managing test scripts and documentation Understanding of signal integrity concepts or experience using lab equipment such as oscilloscopes and logic analyzers to debug hardware interfaces Benefits: Salary: $70,400 annual salary, prorated for length of internship Flexible work hours and work from home policy 100% employer-paid health insurance (Medical, Dental, Vision) for employees + 50% dependent coverage Accrued paid time off policy, accrued sick days policy, and paid company holidays 401(k) retirement account and employer matching (Safe Harbor 4%) Housing stipend bonus Electric Vehicle (EV) charging ports Catered lunches, snacks, and accessible kitchen Our Values in Practice: SOE’s four core values are the standard by which we operate. As an engineering intern, you are expected to embody them in every design decision, debugging session, and team interaction: Lead with Curiosity: Approach every system with a desire to understand not just how it works, but why it was designed that way. Ask questions early and often of your mentor, your teammates, and yourself. The best engineers are the ones who never stop learning. Own the Outcome: Take genuine ownership of your work, from first prototype through final validation. Communicate blockers early, document your work thoroughly, and follow through on what you commit to. Build the Right Thing: Understand the customer need behind each technical requirement and make design decisions that are practical, reliable, and built to last. Good engineering solves the real problem, not just the interesting one. Empower Others: Contribute to a team culture where knowledge is shared freely. Ask for feedback, act on it, and share what you learn with those around you. Your curiosity and fresh perspectives will make the whole team better. About SOE: SOE is an engineering consulting firm that specializes in electrical, electromechanical, and embedded systems. Founded in 2016, we’ve grown from a 3-person operation to a team of 25+ engineers across offices in El Segundo, CA and Redmond, WA. In that time, we’ve completed over 250 projects for more than 100 clients. Our designs control rocket engines, manage satellite communications, instrument fusion reactors, and are enjoyed by consumers around the world. The only thing we won’t build are weapons. We’re 100% employee-owned, which means that every engineer at SOE has a real stake in what we build. We structured the company this way because we believe the people best equipped to advance our mission are the ones doing the work. We approach problems from first principles. We break challenges down to their most fundamental components, which is how we find solutions that hold up across industries, use cases, and engineering functions. We focus on solving the right problems and building the teams to take them on. Additional Requirements: Applicants must be able to commit to a 12-to-16 week internship over the summer Applicant must be willing to work 40 hours a week on-site in El Segundo, California, USA Applicant must be eligible to work on export controlled projects Job Type: Full-time (Salary) Export Control Requirements: To conform with U. S. Government export control regulations, including the Export Administration Regulations (EAR), 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. Unfortunately, we are unable to provide sponsorship at this time. If you don’t meet 100% of the preferred skills and experience, we encourage you to still apply! Second Order Effects is proud to be an Equal Opportunity Employer; employment with SOE is governed on the basis of excellence and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.", "summaryDescription" : "Avionics Integration & Test Engineering Intern (Summer 2026) at Second Order Effects. Skills: Avionics integration, Test engineering, Data acquisition. Operate data acquisition systems. Capture and analyze test data", "postedDate" : "2026-06-14T03:06:06.673", "createdAt" : "2026-06-14T03:06:06.673", "lastUpdated" : "2026-06-15T08:13:38.417", "ingestTimestamp" : "2026-06-14T03:06:06.673", "mongoId" : "6a2c6d1474d8ee00a091d109", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Test data analysis", "Electrical engineering", "Aerospace engineering", "Computer science", "Mechanical engineering", "Physics", "Empower others", "Avionics integration", "Test engineering", "Data acquisition", "Instrumentation applications", "Test equipment operation", "Hardware debugging", "Avionics interfaces", "Aerospace environmental testing", "Avionics standards", "DO-178C", "DO-254", "Oscilloscopes", "DMMs", "Power supplies", "Thermal chambers", "Git" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6960824b0937eae70e9c8533", "title" : "Facilities (Engineering) Internship - Summer 2026", "company" : "The Cincinnati Insurance Companies", "industry" : "Insurance", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Facilities (Engineering) Internship in Fairfield, United States, adjusted for the insurance industry and company size." }, "location" : "Student Opportunities - Facilities (Engineering) Internship - Summer 2026 (Onsite)", "locations" : [ "Student Opportunities - Facilities (Engineering) Internship - Summer 2026 (Onsite)", "158066", "false, 158066, false" ], "timestamp" : "2026-06-16T07:04:02.093", "fingerprint" : "a1cf42de976079175e9c6c457fdfb19e8584610062f0532fe17287f20e8fe399", "source" : "taleo", "language" : "en", "applyUrl" : "https://cinfin.taleo.net/careersection/ex/jobdetail.ftl?job=158066", "externalId" : "158066", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fairfield", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7886111,-82.6418883" } ], "locationText" : "Fairfield, Ohio, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Plan coordination", "Work prioritization", "Work organization" ], "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Participate in introductory insurance class, Engage with different departments, Interact with leadership, Interact with experienced associates, Participate in group projects, Participate in individual projects, Assist with business activities, Assist with business processes, Contribute to team meetings, Contribute to presentations, Contribute to projects, Generate reports, Generate promotional materials, Generate educational materials, Generate other work products", "teamCollaboration" : "Collaborate within a diverse team; Work within a team environment; Participate in team meetings; Participate in presentations; Participate in projects", "projectManagementSkills" : [ "Project Management" ], "domainKnowledge" : "Insurance industry", "domainList" : [ "insurance-industry" ], "domainSpecificKnowledge" : [ "Insurance industry" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Explain technical concepts; Professional presentations", "documentationSkills" : "Generate reports; Generate promotional materials; Generate educational materials", "continuousLearning" : "Continually learn new technologies; Continually learn new skills; Continually learn improved processes; Lifelong learning approach", "specialRequirements" : "No future sponsorship required", "qualificationsBasic" : "Full-time undergraduate student, Sophomore or above preferred, Construction Management major, Mechanical Engineering major, Electrical Engineering major, Related engineering major, Cumulative GPA: 3.0 or higher, Work up to 40 hours per week, Ability to work in United States, Proficient in Microsoft Office tools", "qualificationsPreferred" : "Project Management, Leadership, Basic accounting knowledge, Basic finance knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build your future with us The Cincinnati Insurance Companies are currently seeking an undergraduate intern for our Facilities (Engineering) Internship. Our successful candidates will want to gain a meaningful work experience with us for Summer 2026 . This role is onsite and based out of our Headquarters in Fairfield, Ohio. Make a difference with a career in insurance At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®. If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges, and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. Learn more about our company by: participating in an introductory insurance class(es) engaging with different departments to understand our corporate structure interacting with leadership and experienced associates participating in group and individual projects Be equipped with/to: read and interpret drawings; ability to plan, coordinate and communicate amongst team effective communication skills with the ability to effectively explain technical concepts to non-technical audience and give professional presentations ability to interact effectively with management and colleagues to prioritize and organize work willingness to continually learn new technologies, skills, and improved processes work independently and within a team environment assist with business activities and processes participate and contribute to team meetings, presentations, and projects generate reports, promotional/educational materials, and other work products project Management, Leadership (preferred) basic accounting/finance knowledge (preferred) Please attach a copy of your college transcript(s) with application. Unofficial transcripts accepted. Starting Pay : Begins at $18 per hour and is based on the applicant’s education, experience, knowledge, skills, and abilities. Candidates should have the ability to work in the United States for an unlimited amount of time without sponsorship. Our company is not currently hiring interns for this role if they will need sponsorship at any time in the future, including Optional Practical Training (OPT) or Curricular Practical Training (CPT). Requirements: enrolled as a full-time, undergraduate student at an accredited college/university (sophomore or above preferred) Construction Management, Mechanical Engineering, Electrical Engineering, or related major collegiate transcripts required with submission of candidate profile (unofficial are acceptable) in good academic standing (cumulative GPA: 3.0 or higher preferred) must be able to work up to 40 hours per week proficient in Microsoft® Office tools and related software Enhance your talents Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you’re new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional – all while enjoying a meaningful career. Embrace a diverse team As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation , gender identity and transgender status ; religion; national origin; age; disability; military service; veteran status; pregnancy; AIDS/HIV or genetic information; or any other basis prohibited by law. All job applicants have rights under Federal Employment Laws. Please review this information to learn more about those rights. 158066", "summaryDescription" : "Facilities (Engineering) Internship - Summer 2026 at The Cincinnati Insurance Companies. Participate in introductory insurance class. Engage with different departments", "createdAt" : "2026-06-14T18:52:29.518", "lastUpdated" : "2026-06-16T07:04:02.093", "ingestTimestamp" : "2026-06-14T18:52:29.518", "mongoId" : "6960824b0937eae70e9c8533", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Leadership", "Plan coordination", "Work prioritization", "Work organization", "Project Management", "Insurance industry", "Microsoft Office" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a204f292fd229c118374", "title" : "Engineering Manager, Billing Systems", "company" : "Omada Health", "industry" : "Healthcare", "salary" : { "min" : 171600.0, "max" : 224250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:03:05.865", "fingerprint" : "49aee4a6d548dcd082fbaffa3a8d6f669e604f2df7708819269fb453d3b48dd0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/omadahealth/jobs/7983241", "externalId" : "7983241", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Omada Health is on a mission to bend the curve of chronic disease. About the Role: We are searching for an Engineering Manager to drive our B2B capabilities, including Billing, Incentives, and Performance Guarantees. This role requires technical acumen and strong leadership to advance our business objectives. In this role you will lead a distributed team that plays a vital role in new client implementations, enabling new partnerships, and expanding the scope and reach of Omada Health. This is not a pure people manager role. You will bring genuine technical depth, help set architectural direction, and be the person your team looks to when there is no clear answer. You will also be expected to think ahead — to understand where this domain needs to go, make the bets, and connect strategy to the team's day-to-day. You will leverage your deep technical expertise in technologies like Ruby on Rails, Sidekiq, Redis, and Postgres to ensure system excellence, while also integrating AI advancements. Your leadership will be pivotal in fostering a culture of innovation and collaboration, encouraging diverse perspectives and driving the professional growth of your team as they contribute to our strategic goals. What You Do: Lead and mentor a team of engineers, emphasizing technical excellence, productivity, and stakeholder satisfaction. Collaborate with cross-functional teams to align technical strategies with business goals, translating high-level vision into actionable objectives. Engage in direct technical contributions approximately 5–10% of your time to support system performance and scalability through activities like code reviews, architectural guidance, and hands-on debugging during critical incidents. Foster an inclusive culture that embraces diversity, promotes work-life balance, and nurtures professional development. Navigate complex projects within regulated industries, embedding security and compliance in everything you design. Define where the Billing domain needs to be in 12–24 months, translate that into team bets and priorities, and own that narrative Model and actively drive the use of AI-powered developer tools — agentic coding, AI-assisted code review, LLM-assisted debugging — as a core part of the team's SDLC. Qualifications: 8+ years of software development experience, ideally within the Billing domain 5+ years of management experience in engineering with a focus on delivering business-impactful solutions. Demonstrated ability to set technical strategy and connect it to team execution — not just managing delivery, but shaping direction. Active practitioner of AI-powered development tools and passionate about integrating AI into business solutions. You know how to build a roadmap, plan for capacity, evaluate trade-offs, and know how to negotiate with your stakeholders. Proven ability to attract, retain, and develop engineering talent. Excellent communication and collaboration skills with a strategic mindset. Strong cross-functional influence skills — you build trust with non-engineering stakeholders (RCM, Finance, Accounting, Compliance) and navigate ambiguous organizational dynamics without positional authority. Comfortable working in a highly regulated environment Technologies We Use: Ruby on Rails, Sidekiq, Redis, Postgres Docker, Kubernetes, and modern frameworks Cursor, Claude Code, or any other AI-powered development tooling Benefits: Competitive salary with generous annual cash bonus Equity grants Remote first work from home culture Flexible Time Off to help you rest, recharge, and connect with loved ones Generous parental leave Health, dental, and vision insurance (and above market employer contributions) 401k retirement savings plan Lifestyle Spending Account (LSA) Mental Health Support Solutions ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other. Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work. Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together. Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com. Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,250*, Colorado Base Compensation Ranges: $171,600 - $214,500*. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Please click here for more information on our Candidate Privacy Notice.", "summaryDescription" : "Engineering Manager, Billing Systems at Omada Health", "postedDate" : "2026-06-16T03:17:32.022", "createdAt" : "2026-06-16T03:17:32.022", "lastUpdated" : "2026-06-16T11:03:05.865", "ingestTimestamp" : "2026-06-16T03:17:32.022", "mongoId" : "6a30a204f292fd229c118374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 171600, "salaryAnnualMax" : 224250, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e42af8b1b0376634c688", "title" : "ASIC Engineering Internship (Summer 2026)", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, ASIC, studentprograms", "salary" : { "min" : 104000.0, "max" : 212200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T07:09:39.803", "fingerprint" : "da736d023ba4b09cfcb0b1771eac4624cf77a2f74789cd5ae71f2ab81d4bde99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076360/apply", "externalId" : "db722074-e1c3-4242-95de-880e5ff7d011", "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" : "Python, C/C++, Verilog, VHDL, RFIC design, Digital design, Communication systems", "professionalSkills" : [ "Technical reviews", "Test procedures" ], "hardSkillsList" : [ "RF fundamentals", "Digital communication systems", "Circuit simulation" ], "hardSkills" : [ { "name" : "RF fundamentals", "level" : "intermediate" }, { "name" : "Digital communication systems", "level" : "intermediate" }, { "name" : "Circuit simulation", "level" : "intermediate" } ], "majorSkills" : "Satellite communication systems, Integrated circuits, RF components", "majorSkillsList" : [ "Satellite communication systems", "Integrated circuits", "RF components" ], "coreResponsibilities" : "Support development of satellite communication systems, Support testing of satellite communication systems, Support development of integrated circuits, Support testing of integrated circuits, Create test procedures for RF components, Execute test procedures for RF components, Create test procedures for RF systems, Execute test procedures for RF systems, Maintain test data, Analyze test data, Contribute to verification of RF circuits, Contribute to verification of mixed-signal circuits, Contribute to validation of RF circuits, Contribute to validation of mixed-signal circuits, Participate in cross-functional team meetings, Participate in technical reviews, Document processes, Document results, Support automation for testing, Support automation for verification", "teamCollaboration" : "Cross-functional team meetings; Technical reviews", "domainKnowledge" : "Satellite communication technology; RFIC design; Digital design; Communication systems", "domainList" : [ "satellite-communication-technology", "rfic-design", "digital-design", "communication-systems" ], "domainSpecificKnowledge" : [ "Satellite communication technology", "RFIC design", "Digital design", "Communication systems" ], "toolProficiency" : [ "Circuit simulation tools" ], "documentationSkills" : "Document processes; Document results", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted refugee, Granted asylum", "qualificationsBasic" : "Relocate to internship location, Work 40 hours/week, Commit to 12 week internship, Pursuing Bachelor's or Master's, Graduation date Dec 2026 - May 2028, Understanding of RF fundamentals, Understanding of digital communication systems, Programming skills in Python, Programming skills in C/C++, Familiarity with Verilog, Familiarity with VHDL, Familiarity with circuit simulation concepts", "qualificationsPreferred" : "Coursework in RFIC design, Coursework in digital design, Coursework in communication systems, Experience with Verilog, Experience with VHDL, Experience with circuit simulation tools, Familiarity with verification methodologies", "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 Project Kuiper intern, you will work alongside experienced engineers in our RFIC, RF/Communications Systems, or Digital Design Verification teams. This internship offers hands-on experience in cutting-edge satellite communications technology development, from integrated circuit design to system-level implementation and verification. 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 - Support engineering teams in development and testing of satellite communication systems and integrated circuits - Assist in creating and executing test procedures for RF components and systems - Help maintain and analyze test data from IC-level to system-level testing - Contribute to verification and validation of RF/mixed-signal circuits and systems - Participate in cross-functional team meetings and technical reviews - Document processes and results - Support automation efforts for testing and verification workflows Basic Qualifications: - Can relocate to where the internship is based - Work 40 hours/week minimum and commit to 12 week internship maximum - Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related technical field with a graduation date between December 2026 - May 2028. - Understanding of RF fundamentals or digital communication systems - Programming skills in at least one language (e.g., Python, C/C++) - Familiarity with hardware description languages (e.g., Verilog, VHDL) or circuit simulation concepts Preferred Qualifications: - Coursework in RFIC design, digital design, or communication systems - Experience with hardware description languages (e.g., Verilog, VHDL) or circuit simulation tools - Familiarity with verification methodologies (e.g., UVM) or RF test equipment - Knowledge of Linux operating systems and scripting languages - Understanding of satellite communications systems or digital signal processing - Prior project experience in telecommunications, aerospace, or semiconductor industry 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 $104,000/year in our lowest geographic market up to $212,200/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" : "ASIC Engineering Internship (Summer 2026) at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Satellite communication systems, Integrated circuits, RF components. Support development of satellite communication systems. 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"summaryDescription" : "Engineering Intern- Fall 2026", "createdAt" : "2026-06-14T20:43:31.127", "lastUpdated" : "2026-06-16T02:42:45.379", "ingestTimestamp" : "2026-06-14T20:43:31.127", "mongoId" : "6a2d01fe74d8ee00a0abb552", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c968d74d8ee00a098fe78", "title" : "Director Distribution Engineering & Systems", "company" : "Monster Energy", "industry" : "Logistics", "salary" : { "min" : 108900.0, "max" : 145200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Florida, United States", "locations" : [ "Florida", "United States" ], "timestamp" : "2026-06-15T06:40:25.960", "fingerprint" : "84e940ea71addcad6c0c4eba2e18964309c221aadf4a99d847881c50d91c8626", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4222748009", "externalId" : "4222748009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Florida", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Florida, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Director", "technicalSkills" : "Industrial engineering, Supply chain management, Data modeling, Advanced analytics", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Warehouse productivity analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Warehouse productivity analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Distribution engineering, Systems management, Supply chain", "majorSkillsList" : [ "Distribution engineering", "Systems management", "Supply chain" ], "coreResponsibilities" : "Direct operational strategies, Implement operational strategies, Direct business processes, Implement business processes, Direct systems for distribution, Implement systems for distribution, Design optimized workflows, Develop long-term strategies, Support business decision-making, Maintain productivity standards, Maintain safety standards, Maintain compliance standards, Manage supply chain software, Coordinate distribution network, Optimize distribution operations, Ensure supply chain execution, Design warehouse process workflows, Improve day-to-day operations, Reduce waste, Build dynamic tools, Build complex data models, Handle large datasets, Perform productivity analysis, Identify inefficiencies, Execute improvements, Build dashboards, Build automated reporting tools, Monitor operations, Monitor KPIs, Monitor performance targets, Manage people management, Foster collaboration culture", "teamCollaboration" : "Cross-functional coordination; Collaboration culture", "domainKnowledge" : "End-to-end supply chain; Warehouse management; Transportation management; Industrial Engineering methodologies", "domainList" : [ "end-to-end-supply-chain", "warehouse-management", "transportation-management", "industrial-engineering-methodologies" ], "domainSpecificKnowledge" : [ "End-to-end supply chain", "Warehouse management", "Transportation management", "Industrial Engineering methodologies" ], "toolProficiency" : [ "SAP S/4 HANA", "SAP EWM", "SAP TM", "Power BI", "Advanced Excel" ], "problemSolvingSkills" : "Advanced analytical tools; Data-driven decision-making", "outcomesObjectives" : "Maintain high standards productivity; Maintain high standards safety; Maintain high standards compliance; Ensure seamless coordination; Ensure seamless execution; Improve operations; Reduce waste; Support high-level decisions; Identify inefficiencies; Execute significant improvements; Monitor operations; Monitor KPIs; Monitor performance targets", "qualificationsBasic" : "7+ years Logistics experience, 5+ years leadership experience", "qualificationsPreferred" : "Bachelor's Supply Chain Operations, Bachelor's Warehouse Operations, Bachelor's related field", "rawDescription" : "A Day in the Life: In the position of Director, Distribution Engineering & Systems, you will direct and implement operational strategies, business processes, and systems for overall distribution. Leverage industrial engineering principles and end-to-end supply chain management software to design optimized workflows and develop long-term strategies. Utilize SAP S/4 HANA environments, complex data modeling, and advanced analytical tools to support critical business decision-making and maintain high standards for productivity, safety, and compliance. The Impact You'll Make: Expertly manage end-to-end supply chain management software to ensure seamless coordination across the entire distribution network. Oversee and optimize distribution operations within SAP EWM (Extended Warehouse Management) and SAP TM (Transportation Management) to ensure seamless end-to-end supply chain execution. Design and implement optimized warehouse process workflows using Industrial Engineering methodologies to improve day-to-day operations and reduce waste. Build and maintain dynamic tools and complex data models to handle large datasets, providing the insights necessary to support high-level business decision-making. Perform advanced warehouse productivity analysis to identify inefficiencies and execute significant improvements to systems and products. Utilize Power BI and Advanced Excel to build dashboards and automated reporting tools that monitor operations, Key Performance Indicators (KPIs), and performance targets for all shipping locations. Maintain responsibility and manage all aspects of people management, fostering a culture of collaboration Who You Are: Prefer a Bachelor's Degree in the field of -- Supply Chain Operations, Warehouse Operations, or a related field. Additional Experience Desired: More than 7 years of experience in Logistics and Warehouse Operations Additional Experience Desired: More than 5 years of experience in leadership capacity Computer Skills Desired: Comprehensive experience in end-to-end supply chain management software, SAP EWM, SAP TM, and SAP S/4HANA. Advanced Excel, expert-level proficiency. Proficiency in Power BI and other Warehouse Management Systems (WMS) Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $108,900—$145,200 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Director Distribution Engineering & Systems at Monster Energy. Skills: Distribution engineering, Systems management, Supply chain. Direct operational strategies. Implement operational strategies", "postedDate" : "2026-06-13T21:20:51.578", "createdAt" : "2026-06-13T21:20:51.578", "lastUpdated" : "2026-06-15T06:40:25.960", "ingestTimestamp" : "2026-06-13T21:20:51.578", "mongoId" : "6a2c968d74d8ee00a098fe78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 108900, "salaryAnnualMax" : 145200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Warehouse productivity analysis", "Data analysis", "Distribution engineering", "Systems management", "Supply chain", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "End-to-end supply chain", "Warehouse management", "Transportation management", "Industrial Engineering methodologies", "SAP S/4 HANA", "SAP EWM", "SAP TM", "Power BI", "Advanced Excel" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3067a5f292fd229cfc00f0", "title" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC))", "company" : "ASM America Inc.", "salary" : { "min" : 190000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Principal Engineer, Systems Engineering in Phoenix, United States, with adjustments for lead seniority, senior experience level, and the technology industry." }, "location" : "AZ Phoenix (ASM America Inc.)", "locations" : [ "AZ Phoenix (ASM America Inc.)" ], "timestamp" : "2026-06-16T09:16:50.419", "fingerprint" : "29ad0b064cee61975c61880e214598e1ba6eb74cc79487b1bb4b852c333e9037", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.asm.com/open-vacancies/?gh_jid=4857016101", "externalId" : "4857016101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Reporting to the Expert System Engineering Manager, the Principal Engineer for Electrostatic Chuck (ESC) is accountable for the design, and delivery of hardware engineering solutions focused on ESC and heaters technology. The Engineer will be responsible for focusing on the development of highly innovative technologies over legacy solutions. Key Responsibilities Lead the design and development of ESC and heaters hardware platforms and modules. Ensure timely delivery of new components and modules designs including safety, specifications, conceptual configuration, detailed design, factory release, configuration control, and documentation. Support customer-specific designs and product cost reduction initiatives. Drive new technology exploration and development of new processes. Establish budgets and measurable performance indicators for the program/ project Manage engineering projects to meet deliverables, quality, budget, and timing. Foster a collaborative and engaging environment across departments and suppliers. Collaborate with universities, research institutes, and engineering firms for breakthrough technological solutions. Motivated to drive innovation through R&D and create patents. Required Qualifications Master’s degree or PhD in Mechanical or Electrical Engineering. Experience in hardware engineering including semiconductor processing. Expertise in material science including AlN, Al2O3, SiC, and C22 alloys. Understanding of failure modes and process performance behavior. Knowledge of clamping mechanisms and thermal engineering. Experience in vacuum and plasma physics. Proficiency in mechanical design and manufacturing processes. Demonstrated system thinking capabilities. Preferred Skills and Experience Proven ability to create performing components and modules Track record of delivering engineering solutions in multicultural and dynamic environments. Advance thinking and long-term planning. Effective communication across diverse audiences. Team building and networking capabilities. Experience in global organizations. Hands-on R&D experience and familiarity with fab equipment. Supplier management includes communication, negotiation, strategic planning, and problem solving. Innovation mindset Apply today to be part of what’s next. We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect. To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube. ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.", "summaryDescription" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC)) at ASM America Inc.", "postedDate" : "2026-06-15T23:29:02.200", "createdAt" : "2026-06-15T23:29:02.200", "lastUpdated" : "2026-06-16T09:16:50.419", "ingestTimestamp" : "2026-06-15T23:29:02.200", "mongoId" : "6a3067a5f292fd229cfc00f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f552ce4c40e2acd1fdd315", "title" : "Systems Engineer, Prime Air Drone Systems Engineering", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, Interdisciplinary Systems Engr, Retail", "salary" : { "min" : 129000.0, "max" : 174800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:11:53.379", "fingerprint" : "1ee6681abf93180021fcc67c5f3b193c4129b9f2ead77f9bcf4566d0678f34f9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409343/apply", "externalId" : "cc10d0c8-a692-440a-9b05-9d5d75158412", "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", "technicalSkills" : "Python, Java, C++, Go, AWS, Azure, GCP, Distributed systems, Data structures, Algorithms, Machine learning, Data processing, CI/CD, Docker, Kubernetes", "professionalSkills" : [ "System design", "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Software development", "Cloud computing", "Data engineering", "Machine learning implementation" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" } ], "majorSkills" : "Software development, Cloud platforms, Distributed systems", "majorSkillsList" : [ "Software development", "Cloud platforms", "Distributed systems" ], "coreResponsibilities" : "Design, develop, test, deploy, maintain, and improve software, Manage individual project priorities, deadlines, and deliverables, Write high-quality code, Develop and maintain documentation, Collaborate with other engineers, Participate in code reviews, Troubleshoot and resolve software defects, Contribute to system architecture discussions", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Cloud-native architecture", "domainList" : [ "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud-native architecture" ], "toolProficiency" : [ "Docker", "Kubernetes", "CI/CD tools" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem solving; Troubleshooting", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in software development, Experience with cloud platforms (AWS, Azure, GCP), Experience with distributed systems, Experience with data structures and algorithms", "qualificationsPreferred" : "Master's degree or PhD in Computer Science or related field, Experience with machine learning frameworks, Experience with large-scale data processing, Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers and are excited for what's to come. If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Check out more information about Prime Air on the About Amazon blog: https://www.aboutamazon.com/news/tag/drone Amazon Prime Air (PA) is seeking a Systems Engineer to oversee the development hardware and software integration within our ultra-fast drone delivery operations. This role will be responsible for ensuring high standards for certifying safety-critical software and hardware in airborne systems, working closely with design engineering staff powering a flywheel of continuous improvement in drone software design. Partnering with the drone system development and various engineering disciplines, you will oversee development, verification, configuration management, and quality assurance to ensure compliance to Design Assurance Levels and software development standards. Strong cross-functional engineering fundamentals skills are essential, as well as strong technical communication and documentation skills. Your ability to translate complex system functions into digestible insights and summarize effectively with stakeholders at all levels will be critical to success in this role. This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon's ability to apply for and obtain an export control license on your behalf. Key job responsibilities - Oversee software development, verification, configuration management, and quality assurance to ensure compliance to Design Assurance Levels and software development standards - Communicate effectively across all organizational levels, presenting strategies and results to senior leadership and operational partners Basic Qualifications: - Bachelor's degree in Electrical Engineering Preferred Qualifications: - Experience in systems engineering 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, WA, Seattle - 129,200.00 - 174,800.00 USD annually", "summaryDescription" : "Systems Engineer, Prime Air Drone Systems Engineering at Amazon.com Services LLC. Skills: Software development, Cloud platforms, Distributed systems. Design, develop, test, deploy, maintain, and improve software. Manage individual project priorities, deadlines, and deliverables", "postedDate" : "2026-06-13T19:11:43.089", "createdAt" : "2026-06-13T19:11:43.089", "lastUpdated" : "2026-06-15T06:11:53.379", "ingestTimestamp" : "2026-06-13T19:11:43.089", "mongoId" : "69f552ce4c40e2acd1fdd315", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409343/apply", "salaryAnnualMin" : 129000, "salaryAnnualMax" : 174800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "Data engineering", "Machine learning implementation", "Cloud platforms", "Distributed systems", "System design", "Problem solving", "Analytical skills", "Agile methodologies", "Cloud-native architecture", "Docker", "Kubernetes", "CI/CD tools" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068a7f292fd229cfc4ea6", "title" : "Head of Agentic Systems Engineering", "company" : "ASOS", "industry" : "Retail", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of Agentic Systems Engineering in London, UK, adjusted for company size and industry." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T09:02:38.057", "fingerprint" : "31f953011fdb869146f5a5cbffc62b3555fcf0bc4647d352472a648b0a9077eb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ASOS/744000132242657-head-of-agentic-systems-engineering-", "externalId" : "744000132242657", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, ML, LLM, Agentic AI, RAG patterns, Azure AI, AWS, GCP", "professionalSkills" : [ "System design", "Solution design", "Stakeholder management", "Organizational influence" ], "hardSkillsList" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Autonomous systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI integration", "level" : "intermediate" }, { "name" : "AI orchestration", "level" : "intermediate" }, { "name" : "AI application design", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "LLM integration", "level" : "intermediate" }, { "name" : "Autonomous systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, AI Enablement, Autonomous Systems", "majorSkillsList" : [ "Agentic AI", "AI Enablement", "Autonomous Systems" ], "coreResponsibilities" : "Lead multidisciplinary team, Grow multidisciplinary team, Deploy multidisciplinary team, Allocate engineering capability, Establish best practices, Embed best practices, Drive high-performance culture, Act as AI partner, Translate business challenges, Shape AI roadmaps, Align AI roadmaps, Identify automation use cases, Identify augmentation use cases, Lead end-to-end delivery, Ensure seamless progression, Embed AI-native operating models, Embed human-in-the-loop models, Provide technical leadership, Ensure AI systems scalable, Ensure AI systems secure, Ensure AI systems observable, Ensure AI systems cost-efficient, Partner with platform teams, Align with Azure AI strategy, Align with governance, Align with enterprise standards, Establish scalable delivery models, Establish operational models, Partner with functional leaders, Support reshaping organizations, Support evolving organizations", "teamCollaboration" : "Senior leaders; Engineering teams; Product teams; Transformation teams; Cross-functional leaders; Domain leaders; Functional leaders", "projectManagementSkills" : [ "Roadmap planning", "Prioritisation" ], "domainKnowledge" : "Agentic AI; Autonomous systems; LLM applications; Orchestration; RAG; Agentic workflows; Cloud-based delivery", "domainList" : [ "agentic-ai", "autonomous-systems", "llm-applications", "orchestration", "rag", "agentic-workflows", "cloud-based-delivery" ], "domainSpecificKnowledge" : [ "Agentic AI", "Autonomous systems", "LLM applications", "Orchestration", "RAG", "Agentic workflows", "Cloud-based delivery" ], "communicationSkills" : "Build credibility; Drive adoption", "continuousLearning" : "Personalised learning", "innovationCreativity" : "Emerging capabilities", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Drive business outcomes; Accelerate decision-making; Unlock new ways of working; Deliver measurable business outcomes", "qualificationsBasic" : "Leading high-performing engineering teams, Delivering complex AI systems, Hands-on AI/ML expertise, Hands-on LLM expertise, Hands-on agentic AI expertise, Assessing technical quality, Guiding solution design, Taking AI solutions to production, Taking advanced tech to production, Partnering with senior stakeholders, Shaping AI roadmaps, Prioritising work, Driving alignment across teams, Shaping enterprise transformation, Understanding modern AI architecture, Experience in cloud-first environments, Establishing engineering standards, Establishing delivery frameworks, Establishing best practices, Delivering measurable business impact", "qualificationsPreferred" : "Azure AI services experience, AWS experience, GCP experience, Operating in Azure-aligned ecosystem, Experience in hybrid leadership roles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working. You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation. Key Responsibilities * Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains * Allocate engineering capability across strategic initiatives based on business priority and impact * Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling * Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes * Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology * Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities * Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases * Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms * Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models * Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design * Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks * Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models * Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations ## Qualifications * Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems * Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design * Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment * Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery * Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation * Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams * Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities * Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale * Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments * Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem * Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams * A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes * Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence ## Additional Information BeneFITS’ * Employee discount (hello ASOS discount!) * Employee sample sales * 25 days paid annual leave + an extra celebration day for a special moment * Discretionary bonus scheme * Private medical care scheme * Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits * Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role", "summaryDescription" : "Head of Agentic Systems Engineering at ASOS. Skills: Agentic AI, AI Enablement, Autonomous Systems. Lead multidisciplinary team. Grow multidisciplinary team", "postedDate" : "2026-06-15T16:15:26.000", "createdAt" : "2026-06-15T23:51:41.413", "lastUpdated" : "2026-06-16T09:02:38.057", "ingestTimestamp" : "2026-06-15T23:51:41.413", "mongoId" : "6a3068a7f292fd229cfc4ea6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Autonomous systems", "Leadership", "Agentic AI", "AI Enablement", "Autonomous Systems", "System design", "Solution design", "Stakeholder management", "Organizational influence", "Roadmap planning", "Prioritisation", "LLM applications", "Orchestration", "RAG", "Agentic workflows", "Cloud-based delivery" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3053fcf292fd229cf1579b", "title" : "Head of Agentic Systems Engineering", "company" : "ASOS", "industry" : "Retail", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of Agentic Systems Engineering in London, UK, adjusted for company size and industry." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T06:57:48.161", "fingerprint" : "b485b8007b59de3f459be80484e14b296d521ba49e664b14887315d41934a9f9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ASOS/744000132242657-head-of-agentic-systems-engineering-", "externalId" : "744000132242657", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, ML, LLM, Agentic AI, RAG patterns, Azure AI, AWS, GCP", "professionalSkills" : [ "System design", "Solution design", "Stakeholder management", "Roadmap planning", "Delivery ownership", "Organisational influence" ], "hardSkillsList" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Agent orchestration", "RAG patterns", "AI application design", "AI system scalability", "AI system security", "AI system observability", "AI system cost-efficiency", "AI reliability frameworks", "AI governance", "Enterprise engineering standards", "Delivery models", "Operational models" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI integration", "level" : "intermediate" }, { "name" : "AI orchestration", "level" : "intermediate" }, { "name" : "AI application design", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "LLM integration", "level" : "intermediate" }, { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "RAG patterns", "level" : "intermediate" }, { "name" : "AI application design", "level" : "intermediate" }, { "name" : "AI system scalability", "level" : "intermediate" }, { "name" : "AI system security", "level" : "intermediate" }, { "name" : "AI system observability", "level" : "intermediate" }, { "name" : "AI system cost-efficiency", "level" : "intermediate" }, { "name" : "AI reliability frameworks", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" }, { "name" : "Enterprise engineering standards", "level" : "intermediate" }, { "name" : "Delivery models", "level" : "intermediate" }, { "name" : "Operational models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, AI Enablement, LLM Architectures, Autonomous Systems", "majorSkillsList" : [ "Agentic AI", "AI Enablement", "LLM Architectures", "Autonomous Systems" ], "coreResponsibilities" : "Lead AI engineering team, Grow AI engineering team, Deploy AI engineering team, Allocate engineering capability, Establish best practices, Embed best practices, Drive engineering culture, Act as AI partner, Translate business challenges, Shape AI roadmaps, Align AI roadmaps, Identify automation use cases, Identify augmentation use cases, Lead end-to-end delivery, Ensure seamless progression, Embed AI-native models, Embed human-in-the-loop models, Provide technical leadership, Ensure AI systems are scalable, Ensure AI systems are secure, Ensure AI systems are observable, Ensure AI systems are cost-efficient, Partner with platform teams, Align with Azure AI strategy, Align with governance, Align with enterprise standards, Establish scalable delivery models, Establish operational models, Partner with functional leaders, Support reshaping organizations, Support evolving organizations", "teamCollaboration" : "Senior leaders; Engineering teams; Product teams; Transformation teams; Domain leaders; Functional leaders", "projectManagementSkills" : [ "Roadmap planning", "Prioritisation" ], "domainKnowledge" : "Agentic AI; Autonomous systems; LLM applications; Agent orchestration; RAG patterns; AI application design; Cloud-based delivery; Azure AI strategy", "domainList" : [ "agentic-ai", "autonomous-systems", "llm-applications", "agent-orchestration", "rag-patterns", "ai-application-design", "cloud-based-delivery", "azure-ai-strategy" ], "domainSpecificKnowledge" : [ "Agentic AI", "Autonomous systems", "LLM applications", "Agent orchestration", "RAG patterns", "AI application design", "Cloud-based delivery", "Azure AI strategy" ], "toolProficiency" : [ "Azure AI services" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Personalised learning", "innovationCreativity" : "Emerging capabilities", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Drive business outcomes; Augment teams; Accelerate decision-making; Unlock new ways of working; Achieve measurable outcomes", "qualificationsBasic" : "Leading high-performing engineering teams, Delivering complex AI systems, Hands-on AI/ML expertise, Hands-on LLM expertise, Hands-on agentic AI expertise, Assessing technical quality, Guiding solution design, Taking AI solutions to production, Taking advanced tech to production, Partnering with senior stakeholders, Shaping AI roadmaps, Prioritising work, Driving alignment across teams, Leading enterprise transformation initiatives, Operating in cloud-first environments, Establishing engineering standards, Establishing delivery frameworks, Establishing best practices, Delivering measurable business impact", "qualificationsPreferred" : "Experience with Azure AI services, Experience with AWS, Experience with GCP, Experience in hybrid leadership roles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working. You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation. Key Responsibilities * Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains * Allocate engineering capability across strategic initiatives based on business priority and impact * Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling * Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes * Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology * Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities * Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases * Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms * Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models * Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design * Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks * Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models * Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations ## Qualifications * Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems * Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design * Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment * Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery * Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation * Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams * Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities * Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale * Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments * Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem * Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams * A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes * Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence ## Additional Information BeneFITS’ * Employee discount (hello ASOS discount!) * Employee sample sales * 25 days paid annual leave + an extra celebration day for a special moment * Discretionary bonus scheme * Private medical care scheme * Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits * Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role", "summaryDescription" : "Head of Agentic Systems Engineering at ASOS. Skills: Agentic AI, AI Enablement, LLM Architectures, Autonomous Systems. Lead AI engineering team. Grow AI engineering team", "postedDate" : "2026-06-15T16:15:26.000", "createdAt" : "2026-06-15T23:31:36.725", "lastUpdated" : "2026-06-16T06:57:48.161", "ingestTimestamp" : "2026-06-15T23:31:36.725", "mongoId" : "6a3053fcf292fd229cf1579b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Agent orchestration", "RAG patterns", "AI system scalability", "AI system security", "AI system observability", "AI system cost-efficiency", "AI reliability frameworks", "AI governance", "Enterprise engineering standards", "Delivery models", "Operational models", "Leadership", "Agentic AI", "AI Enablement", "LLM Architectures", "Autonomous Systems", "System design", "Solution design", "Stakeholder management", "Roadmap planning", "Delivery ownership", "Organisational influence", "Prioritisation", "Autonomous systems", "LLM applications", "Cloud-based delivery", "Azure AI strategy", "Azure AI services" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305738f292fd229cf35ab4", "title" : "Engineering Technician, Vacuum & Cryogenic Systems", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Technician in the US Defense Technology industry, adjusted for mid-seniority and company size." }, "location" : "Hudson, New Hampshire, United States", "locations" : [ "Hudson", "New Hampshire", "United States" ], "timestamp" : "2026-06-16T07:38:21.875", "fingerprint" : "d7d5b069b00455268a78e87219d375c69758cfdfc42c68e21596614249837157", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5164794007?gh_jid=5164794007", "externalId" : "5164794007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hudson", "state" : "New Hampshire", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7655784,-71.4393423" } ], "locationText" : "Hudson, New Hampshire, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Operate vacuum systems, Maintain vacuum systems, Operate cryogenic systems, Maintain cryogenic systems, Ensure quality of IDCA production, Ensure efficiency of IDCA production", "domainKnowledge" : "Vacuum systems; Cryogenic systems; Infrared imaging", "domainList" : [ "vacuum-systems", "cryogenic-systems", "infrared-imaging" ], "domainSpecificKnowledge" : [ "Vacuum systems", "Cryogenic systems", "Infrared imaging" ], "qualificationsBasic" : "Operation and maintenance of vacuum systems, Operation and maintenance of cryogenic systems", "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: Anduril AIRS provides high-performance cooled infrared imaging solutions, encompassing IDCAs, modules, and cameras. We achieve this through state-of-the-art technologies, advanced designs, and vertically integrated manufacturing processes. Our core strength lies in delivering customized, mission-critical imaging capabilities to system integrators and instrumentation manufacturers facing unique, challenging, and complex thermal imaging needs. WHAT YOU’LL DO: As a Process Technician, you will be responsible for the meticulous operation and maintenance of our specialized vacuum and cryogenic systems, ensuring the quality and efficiency of our IDCA production. Execute Vacuum 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" : "Engineering Technician, Vacuum & Cryogenic Systems at Anduril Industries. Operate vacuum systems. Maintain vacuum systems", "postedDate" : "2026-06-15T23:21:08.346", "createdAt" : "2026-06-15T23:21:08.346", "lastUpdated" : "2026-06-16T07:38:21.875", "ingestTimestamp" : "2026-06-15T23:21:08.346", "mongoId" : "6a305738f292fd229cf35ab4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Vacuum systems", "Cryogenic systems", "Infrared imaging" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2db88974d8ee00a0c9d627", "title" : "Engineering Manager, Weather Risk Systems", "company" : "Zipline", "industry" : "Climate Tech", "salary" : { "min" : 185000.0, "max" : 255000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T02:32:20.912", "fingerprint" : "fa449035bd5436f3f2ccadd7d5767c7dcd774f080edafd26c41e8c5b5f7af7b9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7772723003#open-roles", "externalId" : "7772723003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. What You'll Do You will own one of the systems that determines whether Zipline can safely and reliably fly: the automated weather intelligence and risk system that makes real-time operational go/no-go decisions for missions. This is not a reporting or advisory role. You will be accountable for turning messy, uncertain atmospheric data into clear operational limits, scalable automation, and business-critical decisions that protect safety, reliability, and customer trust. You will lead the team responsible for: Building and improving automated weather monitoring systems that make real-time mission go/no-go decisions and forecast conditions that require pausing deliveries. Defining the flyable weather envelope Zipline needs to hit business goals without compromising safety or automated risk-system integrity. Driving validation strategy across simulation, historical data, real-world operations, and high-fidelity flight simulation. Quantifying how weather-system decisions affect uptime, customer experience, fulfillment reliability, and operational throughput. Developing representative, tractable weather models that can be used in Zipline’s flight simulation and operational planning tools. Setting clear expectations with customer, fulfillment, and flight operations teams on system uptime, seasonal risk, daily operating constraints, and weather-driven delivery interruptions. Driving the development of ground- and air-based sensing systems that improve Zipline’s operational risk posture at global scale. Making hard prioritization calls across safety, uptime, model performance, sensing cost, operational complexity, and speed of deployment. What You'll Bring This is a senior leadership role on a team central to Zipline’s ability to scale. It is not an entry-level role, and it is not a role for someone who wants clean problems, narrow ownership, or slow-moving systems. You should be a disciplined, first-principles thinker who can connect physics, statistics, software, operations, and product judgment into systems that work in the real world. You should be comfortable owning ambiguity, making decisions with incomplete information, and being held accountable for the operational consequences of those decisions. You will need many of the following: 5+ years of industry experience, with proven people leadership or clear readiness to lead and develop a small high-performing team of 3-5 direct reports. Deep fluency in scientific Python and common data-analysis tools, including Pandas, NumPy, SciPy, Matplotlib, Xarray, and NetCDF. Ability to learn and work in production languages and systems such as Rust, C++, Kubernetes, and AWS. Experience with geospatial and meteorological datasets, formats, and tooling. Strong ability to process large datasets efficiently across distributed systems; experience with Kafka or other streaming systems is highly valuable. Strong foundations in descriptive statistics, probability, linear algebra, machine learning, and statistical modeling. Judgment about which analytical or modeling tool to use, when not to overcomplicate the solution, and how to validate whether the answer is operationally useful. Ability to make large, uncertain datasets visually clear and decision-ready for technical, operational, and executive audiences. Excellent understanding of meteorology and climatology, including the ability to explain the underlying physics, uncertainty, and operational implications to non-experts. High self-direction, strong prioritization, and the ability to drive a roadmap while responding to urgent needs in a fast-scaling operational system. A track record of raising the pace and quality of a small technical team through better tools, clearer priorities, and stronger execution habits. Experience with aircraft flight, aviation weather, or aviation regulation is valuable. If you do not have it, you must be able to learn it quickly and work effectively with Zipline’s flight sciences leaders. Bonus: an ability to manipulate the weather would be useful, but not required. What Else You Need to Know This role is based at Zipline’s South San Francisco HQ and requires a minimum of 5 days per week in office. You must be eligible to work in the US and able to travel globally as needed. The starting cash range for this role is $185,000 to $255,000. Final compensation will depend on experience, qualifications, skills, location, and expected impact. Total compensation may also include equity, discretionary annual or performance bonuses, sales incentives, benefits, paid time off, and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, disability, medical condition, genetic information, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or any other protected characteristic. We value diversity at Zipline and welcome applications from people traditionally underrepresented in tech. If this role sounds exciting but you are not sure whether you meet every qualification, we encourage you to apply.", "summaryDescription" : "Engineering Manager, Weather Risk Systems at Zipline", "postedDate" : "2026-06-14T20:45:13.724", "createdAt" : "2026-06-14T20:45:13.724", "lastUpdated" : "2026-06-16T02:32:20.912", "ingestTimestamp" : "2026-06-14T20:45:13.724", "mongoId" : "6a2db88974d8ee00a0c9d627", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 255000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c747874d8ee00a0934d2d", "title" : "Engineering Intern", "industry" : "Overview Taiwan", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Intern in Taipei, Taiwan, adjusted for the technology industry and internship employment type." }, "location" : "Taipei", "locations" : [ "Taipei" ], "timestamp" : "2026-06-15T05:08:48.661", "fingerprint" : "c0a4ebb7d5ecabfd80907a0e64a314380a59f92a058ff43bf39aca9425106b89", "source" : "ashby", "language" : "zh", "applyUrl" : "https://jobs.ashbyhq.com/overview/d0f32974-e8fd-4c77-bea8-e6c49dc25a9d/application", "externalId" : "d0f32974-e8fd-4c77-bea8-e6c49dc25a9d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C, C++, JavaScript, Firmware, Embedded OS", "professionalSkills" : [ "Test automation", "Hardware integration", "Software integration" ], "hardSkillsList" : [ "Command-line tools", "Scripting" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Command-line tools", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Hardware testing, Software testing, AI integration", "majorSkillsList" : [ "Hardware testing", "Software testing", "AI integration" ], "coreResponsibilities" : "Prepare new camera hardware, Inspect physical connections, Connect hardware to test bench, Install firmware and embedded OS, Use command-line tools, Use custom scripts, Execute automated QA tests, Verify device stability, Verify image streaming, Verify core peripheral performance, Record test results, Log software bugs, Repackage devices, Maintain regression test racks, Organize network cables, Organize serial signal cables", "teamCollaboration" : "Senior engineers", "domainKnowledge" : "Industrial AI cameras; Edge computing", "domainList" : [ "industrial-ai-cameras", "edge-computing" ], "domainSpecificKnowledge" : [ "Industrial AI cameras", "Edge computing" ], "toolProficiency" : [ "Jira", "Confluence" ], "documentationSkills" : "Technical guides", "continuousLearning" : "Mentorship", "outcomesObjectives" : "Achieve zero downtime", "qualificationsBasic" : "Currently pursuing or hold CS/EE/Robotics degree, Hands-on project experience, Programming skills in Python, C, C++, or JavaScript", "qualificationsPreferred" : "Basic networking protocols and concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "職位描述 (Job Description) 我們打造應用於中國與美國各地工廠的工業級邊緣運算 AI 相機 (industrial AI cameras)。對我們而言，產品的「可靠性」就是一切——當我們的相機停機時，工廠的生產線就會被迫停擺。我們的產品研發中心位於台北，總部設於舊金山，並在中國與美國皆設有大型的應用與客戶工程團隊。職位角色 (The Role) 我們正在招募一名 (工程實習生) 實習生 (Engineering Intern)，以協助我們台北研發中心的團隊。這是一個專注於測試與驗證硬體、軟體以及 AI 整合的實作技術崗位。你將負責搭建測試台、執行自動化測試套件，並追蹤邊緣案例的錯誤 (edge-case bugs)，以確保我們的邊緣相機達到零停機時間。你將直接與資深工程師協作，以精準且高效的速度維持穩定、可靠的硬體管線。工作內容 (What You’ll Do) - 硬體準備 (Hardware Prep)：拆封全新的相機硬體、檢查實體連接線路，並將其連接至測試台以進行自動化建置。 - 軟體安裝 (Software Installation)：將裝置連接至測試用電腦，並依照技術指南使用命令列工具 (command-line tools) 或自訂腳本燒錄最新的韌體 (firmware) 與嵌入式作業系統。 - 最終測試 (Final Testing)：執行自動化 QA 測試套件（使用 Python 或 C 語言），以驗證裝置穩定性、影像串流品質以及核心週邊硬體的效能。 - 資料整理 (Organization)：在 Confluence 或 Jira 等工具中記錄測試通過/失敗的結果、標記軟體錯誤 (bugs)，並在驗證完成後將裝置整潔地重新打包。 - 實驗室維護 (Lab Support)：維護迴歸測試機架 (regression testing racks)、整理網路線與序列訊號線，並確保所有除錯工具皆已貼上標籤且妥善存放。必要條件 (Must-Haves) - 教育背景 (Education)：目前就讀或已取得資訊工程 (CS)、電機/電子工程 (EE)、機器人工程或相關技術領域的學位。 - 專案經驗 (Project Background)：具備實作專案經驗（包含課堂內與課外的個人獨立專案或 side projects）。 - 核心特質 (Core Trait)：展現出聰明、樂於接受指導、具備高度適應力，且能在團隊協作環境中蓬勃發展。 - 程式技能 (Programming Skills)：熟悉至少一種程式語言（Python、C、C++ 或 JavaScript）。加分條件 (Nice-to-Haves) - 網路基礎知識 (Networking Basics)：熟悉基本網路協定與概念（如 IP 設定、路由器或數據傳輸）。為什麼加入我們 (Why Join) - 親手建置直接影響真實世界製造業生產線的核心自動化系統。 - 享有高度的專案所有權與自主權，並獲得資深嵌入式工程師的直接導師制 (mentorship) 指導。 - 與涵蓋硬體、AI 以及客戶工程領域的世界級團隊緊密協作。 - 加入一家快速成長、節奏高效且已實現盈利的初創企業 (startup)。", "summaryDescription" : "Engineering Intern. Skills: Hardware testing, Software testing, AI integration. Prepare new camera hardware. Inspect physical connections", "createdAt" : "2026-06-14T09:22:53.395", "lastUpdated" : "2026-06-15T05:08:48.661", "ingestTimestamp" : "2026-06-14T09:22:53.395", "mongoId" : "6a2c747874d8ee00a0934d2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Command-line tools", "Scripting", "Mentoring", "Hardware testing", "Software testing", "AI integration", "Test automation", "Hardware integration", "Software integration", "Industrial AI cameras", "Edge computing", "Jira", "Confluence" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8eb45", "title" : "2026 Engineering Operations Intern, Data Center Engineering Operations", "company" : "Amazon Data Services Spain, S. L.", "industry" : "Administrative Support, Tech Ops Engineering, no business category", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the technology industry in Zaragoza, Spain, adjusted for company size and seniority." }, "location" : "Zaragoza, Aragon, ESP", "locations" : [ "Zaragoza, Aragon, ESP" ], "timestamp" : "2026-06-15T06:32:29.997", "fingerprint" : "cb0d17a725060e0b1c91b9039943f45ece3e759fff4fe69458036c876463fb22", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099973/apply", "externalId" : "c0542c47-23cd-4cdf-97f4-2b9c2d44c389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zaragoza", "state" : "Aragon", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.6915847,-0.9101268" } ], "locationText" : "Zaragoza, Aragon, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Power Distribution, UPS system, HVAC, PUE, Fire Suppression, Generator, VFDs, Building automation systems", "professionalSkills" : [ "Risk management", "Vendor management", "Metrics reporting" ], "hardSkillsList" : [ "Mechanical maintenance", "Electrical maintenance", "Root cause analysis", "Troubleshooting facility events", "Troubleshooting rack-level events" ], "hardSkills" : [ { "name" : "Mechanical maintenance", "level" : "intermediate" }, { "name" : "Electrical maintenance", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Troubleshooting facility events", "level" : "intermediate" }, { "name" : "Troubleshooting rack-level events", "level" : "intermediate" } ], "majorSkills" : "Data Center Operations, Critical facility infrastructure, Mechanical equipment, Electrical equipment", "majorSkillsList" : [ "Data Center Operations", "Critical facility infrastructure", "Mechanical equipment", "Electrical equipment" ], "coreResponsibilities" : "Maintain mechanical equipment, Maintain electrical equipment, Assist root cause analysis, Assist troubleshooting facility events, Assist troubleshooting rack-level events, Take daily operational readings, Utilize CMMS, Manage building workflows, Interact with third party vendors, Interact with contractors, Power up newly deployed racks, Ensure safety procedures adhered, Plan maintenance works, Write procedures, Review procedures", "teamCollaboration" : "Work in a team environment", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Power redundancy; Cooling; Hot aisle; Cold aisle; Stand-by diesel generators; Switchgear; UPS; PDUs; AHUs; Chillers; Cooling towers; Chemical treatment systems; Pumps; Motors", "domainList" : [ "power-redundancy", "cooling", "hot-aisle", "cold-aisle", "stand-by-diesel-generators", "switchgear", "ups", "pdus", "ahus", "chillers", "cooling-towers", "chemical-treatment-systems", "pumps", "motors" ], "domainSpecificKnowledge" : [ "Power redundancy", "Cooling", "Hot aisle", "Cold aisle", "Stand-by diesel generators", "Switchgear", "UPS", "PDUs", "AHUs", "Chillers", "Cooling towers", "Chemical treatment systems", "Pumps", "Motors" ], "toolProficiency" : [ "CMMS" ], "documentationSkills" : "Write procedures; Review procedures", "continuousLearning" : "Mentorship", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "No public transportation, Internship agreement from university, Day, evening, or weekend shifts, On-call rotations", "outcomesObjectives" : "Maintain critical facility infrastructure; Ensure operational performance standards", "qualificationsBasic" : "Bachelor's Degree in relevant field, Certification from Technical/Trade school program, English language Level B2, Access to own transport", "qualificationsPreferred" : "Experience in program management, Experience in project management, Knowledge of mechanical systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Web Services (AWS), we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results. Are you ready to embrace the challenge? Come build the future with us. Data Center Engineering Operations Intern The Data Center Engineering Operations (DCEO) Team is the backbone of AWS, supporting the rapid growth of AWS business and customers 24x7. We commit to maintain the physical critical facility infrastructure of AWS and ensure the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency and cost. Interns will work in an Amazon Data Center and will provide technical support, including risk management and mitigation, corrective and preventative maintenance of critical facility infrastructure, vendor management and metrics reporting. This role is due to start in May 2026 and you MUST have access to your own transport as there is no public transportation to our Data Centers at Zaragoza. Duties include: · Maintain mechanical and electrical equipment · Assist root cause analysis of equipment failures · Assist in troubleshooting of facility and rack-level events within internal SLA · Take daily operational readings of all mechanical and electrical equipment · Utilize internal CMMS to manage building workflows · Interact with third party vendors & contractors who are working on site Amazon internships are full-time (40 hours/week) for 12 consecutive weeks. Candidates must be able to provide an internship agreement from their university. Intern schedules are typically day schedules, Monday-Friday. A full time position could involve day, evening, or weekend shifts and on-call rotations. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. Note: Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. Please note that we are reviewing a high volume of applications and appreciate your patience. Mentorship & Career Growth Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Work/Life Harmony Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives. EMEA Student Programs Team Key job responsibilities Core technical knowledge that you will need: Power Distribution & Main / backup powerflow • Power redundancy • Basic UPS system knowledge HVAC / Cooling • Cooling • hot / cold aisle • PUE Fire Suppression Generator A few daily tasks; · Maintain mechanical and electrical equipment · Assist root cause analysis of equipment failures · Assist in troubleshooting of facility and rack-level events within internal SLA · Power up newly deployed racks · Ensure all safety procedures are adhered to while performing work · Take daily operational readings of all mechanical and electrical equipment · Take daily operational readings of all mechanical and electrical equipment · Plan maintenance works and Write / review procedures A day in the life https://www.youtube.com/watch?v=LTgCHTdRed0 About the team The Engineering Operations team is Amazon’s front-line responders for hands-on electrical and mechanical equipment troubleshooting and operations. You will work with equipment that supports mission-critical servers and must maintain better than 99.999% uptime. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS’s, PDU’s, AHU’s, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD’s, and building automation systems. Basic Qualifications: - In pursuit of or obtained Bachelor’s Degree within a relevant field such as mechanical/electrical engineering OR - In pursuit of or obtained certification from a Technical/Trade school program (HVAC, electrician, facilities maintenance, or similar) - English language Level B2 - Ability to work well with others in a team environment, displaying strong time management skills - Must have access to own transport Preferred Qualifications: - Experience in program or project management - Knowledge of mechanical systems (Mechanical, HVAC systems, Controls) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "2026 Engineering Operations Intern, Data Center Engineering Operations at Amazon Data Services Spain, S. L.. Skills: Data Center Operations, Critical facility infrastructure, Mechanical equipment, Electrical equipment. Maintain mechanical equipment. Maintain electrical equipment", "postedDate" : "2026-06-13T16:48:08.223", "createdAt" : "2026-06-13T16:48:08.223", "lastUpdated" : "2026-06-15T06:32:29.997", "ingestTimestamp" : "2026-06-13T16:48:08.223", "mongoId" : "68e0a7e3ce260f92cbf8eb45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099973/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mechanical maintenance", "Electrical maintenance", "Root cause analysis", "Troubleshooting facility events", "Troubleshooting rack-level events", "Data Center Operations", "Critical facility infrastructure", "Mechanical equipment", "Electrical equipment", "Risk management", "Vendor management", "Metrics reporting", "Program management", "Project management", "Power redundancy", "Cooling", "Hot aisle", "Cold aisle", "Stand-by diesel generators", "Switchgear", "UPS", "PDUs", "AHUs", "Chillers", "Cooling towers", "Chemical treatment systems", "Pumps", "Motors", "CMMS" ], "skillCount" : 29, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ceb2474d8ee00a0a74909", "title" : "Legal Intern- Summer 2026", "company" : "OfferUp", "industry" : "Technology", "salary" : { "min" : 28.0, "max" : 32.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-15T09:42:18.630", "fingerprint" : "ce53a7479fb2e13e501ec34cd075e0478b50e5c879e32d36fc9756778c0ca2b1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/offerup/jobs/8004173", "externalId" : "8004173", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "hardSkillsList" : [ "Regulatory research", "Contract drafting", "Contract review", "Policy drafting", "Policy updating" ], "hardSkills" : [ { "name" : "Regulatory research", "level" : "intermediate" }, { "name" : "Contract drafting", "level" : "intermediate" }, { "name" : "Contract review", "level" : "intermediate" }, { "name" : "Policy drafting", "level" : "intermediate" }, { "name" : "Policy updating", "level" : "intermediate" } ], "majorSkills" : "Legal research, Contract management, Compliance processes", "majorSkillsList" : [ "Legal research", "Contract management", "Compliance processes" ], "coreResponsibilities" : "Research regulatory developments, Create business facing materials, Advise business teams, Draft commercial agreements, Review commercial agreements, Support contract negotiations, Maintain contract repository, Update contract repository, Identify ways to scale contract management, Implement legal team workflows, Improve legal team workflows, Implement compliance processes, Improve compliance processes, Implement playbooks, Improve playbooks, Implement training materials, Improve training materials, Draft Terms of Service, Update Terms of Service, Draft Privacy Policy, Update Privacy Policy, Draft user-facing policies, Update user-facing policies, Triage internal legal questions, Respond to internal legal questions", "teamCollaboration" : "Advise business teams; Support contract negotiations; Internal legal questions", "domainKnowledge" : "State privacy laws; Consumer protection; In-house legal department; Commercial contract life-cycle", "domainList" : [ "state-privacy-laws", "consumer-protection", "in-house-legal-department", "commercial-contract-life-cycle" ], "domainSpecificKnowledge" : [ "State privacy laws", "Consumer protection", "In-house legal department", "Commercial contract life-cycle" ], "toolProficiency" : [ "Contract repository" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "User-facing policies", "continuousLearning" : "Mentorship from General Counsel; Mentorship from Senior Corporate Counsel", "problemSolvingSkills" : "Navigate complex situations", "outcomesObjectives" : "Understanding of in-house legal department; Understanding of legal tools; Understanding of legal systems; Understanding of contract life-cycle", "qualificationsBasic" : "Currently enrolled in ABA-accredited law school, Returning to school after internship", "qualificationsPreferred" : "Option to extend into school year", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The Role OfferUp is seeking a motivated, self-starting Legal Intern to join our small internal legal team for Summer 2026, with an option to extend the position into the school year. This is an excellent summer internship opportunity for someone who is interested in pursuing an in-house legal career. In this role, you will have the opportunity to gain broad, substantive legal experience across the full range of issues faced by a technology company operating at a start-up pace. You will have the ability to do real legal work, with direct mentorship from the General Counsel and Senior Corporate Counsel. What you will do: Research regulatory developments in areas relevant to the company, including state privacy laws and consumer protection, create business facing materials on regulatory issues, and advise business teams Draft and review a variety of commercial agreements, including NDAs, SaaS agreements, and statements of work, and support related negotiations with third parties Maintain and update contract repository system; identify ways to scale contract management Help implement and improve legal team workflows, templates, contract repository and knowledge management systems, compliance processes, playbooks, and training materials Draft and update Terms of Service, Privacy Policy, and other user-facing policies Triage and respond to internal legal questions from business teams across the company Anything else that comes through the door! After this internship you will: Have an understanding of the day-to-day activities of an in-house legal department Have developed an understanding of relevant legal tools and systems Have an understanding of the commercial contract life-cycle You’ll thrive in this role if: Currently enrolled in an ABA-accredited law school; returning to school after the internship You have a proven ability to learn quickly in a dynamic, ever-changing environment You don't wait to be told what to do next. You take initiative, ask good questions, and figure things out You are able to manage a variety of fast-paced deadlines with a patient and positive attitude You understand and respect the sensitive nature of confidential information and can navigate complex situations and tasks in a discrete and efficient manner You have a strong attention to detail and excellent verbal and written communication skills Compensation: The hourly rate for this internship is $28 – $32. Compensation reflects academic program (undergraduate vs. law school), year in program, and relevant legal coursework or clinic experience. This is a non-benefits-eligible internship. No additional compensation beyond hourly wages is offered. About OfferUp: OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. One of the top local marketplace apps for local buyers and sellers in the U.S., OfferUp makes it easy for people to discover more of what they need—from great deals and secondhand goods to jobs, services, home rentals, and more—right in their own communities. Our trusted platform empowers millions to connect, thrive, and move life forward. Available on iOS and Android, OfferUp has consistently ranked among the top shopping apps. Founded in 2011 and based in Bellevue, WA, OfferUp serves local markets nationwide and was used by more than 1 in 6 adults in the U. S. in 2024. OfferUp is backed by leading investors, including Andreessen Horowitz, Warburg Pincus, GGV Capital, T. Rowe Price, and Coatue Management. https://about.offerup.com More About OfferUp At a Glance Top 10 Shopping app in the App Store and Google Play Store for three years 15%+ of adults in several major markets use OfferUp every month (LA, Miami, Phoenix, Seattle, Las Vegas, Riverside, Orlando) OfferUp works directly with nearly 2000 US law enforcement agencies to build trust in local communities OfferUp is unleashing the power of local, and we’ve built a dynamic team to do it. To learn more about working at OfferUp, check out https://about.offerup.com/people OfferUp provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OfferUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training. OfferUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of OfferUp’s employees to perform their job duties may result in discipline up to and including discharge.", "summaryDescription" : "Legal Intern- Summer 2026 at OfferUp. Skills: Legal research, Contract management, Compliance processes. Research regulatory developments. Create business facing materials", "postedDate" : "2026-06-14T05:11:16.491", "createdAt" : "2026-06-14T05:11:16.491", "lastUpdated" : "2026-06-15T09:42:18.630", "ingestTimestamp" : "2026-06-14T05:11:16.491", "mongoId" : "6a2ceb2474d8ee00a0a74909", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58240, "salaryAnnualMax" : 66560, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Regulatory research", "Contract drafting", "Contract review", "Policy drafting", "Policy updating", "Legal research", "Contract management", "Compliance processes", "Legal analysis", "Risk management", "Compliance oversight", "State privacy laws", "Consumer protection", "In-house legal department", "Commercial contract life-cycle", "Contract repository" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f4e0ba4c40e2acd1d89d38", "title" : "Systems Engineering Manager, Region Services", "company" : "Amazon Support Services Pty Ltd", "industry" : "Systems, Quality, Security Engineering, System Planning/Administration, Cloud Computing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager level Systems Engineering Manager in Melbourne, Australia, adjusted for the technology industry and company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "certifications" : [ "Australian Government Security Clearance" ], "timestamp" : "2026-06-15T03:00:48.900", "fingerprint" : "e9515c67dccbb784fa3782056bb0f878c257b4dd7c36d268cf1c0b3c59cde0bd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408822/apply", "externalId" : "1b0e6348-3175-4096-aa69-0e0460cb87a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "AWS, AI, Machine Learning", "professionalSkills" : [ "Systems design", "Operational excellence", "Project plans", "Risk assessment", "Data analytics" ], "hardSkillsList" : [ "Networking", "Storage systems", "Operating systems" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Networking", "level" : "intermediate" }, { "name" : "Storage systems", "level" : "intermediate" }, { "name" : "Operating systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cloud computing, Systems engineering, Team management", "majorSkillsList" : [ "Cloud computing", "Systems engineering", "Team management" ], "coreResponsibilities" : "Identify operational pain points, Create solutions, Improve existing tools, Eliminate processes, Hire engineers, Develop engineers, Design project plans, Drive actions, Build technical acumen, Collaborate with leaders, Train engineers, Grow engineers, Drive continual improvement, Build tools, Automate systems, Drive root cause analyses, Influence development, Improve operational performance, Report on service health, Meet with customers, Develop relationships, Clarify requirements, Clarify schedules, Design solutions, Manage repair requests, Respond to events, Synthesize problems, Synthesize solutions, Collect data, Perform analytics, Create dashboards", "teamCollaboration" : "Product Teams; Software development teams; Cross-functional business; Technical skills", "projectManagementSkills" : [ "Project plans" ], "domainKnowledge" : "Distributed system design; Cloud infrastructure; AWS regions", "domainList" : [ "distributed-system-design", "cloud-infrastructure", "aws-regions" ], "domainSpecificKnowledge" : [ "Distributed system design", "Cloud infrastructure", "AWS regions" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Continuous learning; Mentoring; Collaboration with experts", "innovationCreativity" : "Innovative solutions; Innovative cloud computing", "problemSolvingSkills" : "Problem-solving abilities; Root cause analyses", "specialRequirements" : "Australian citizens, Hold or eligible to obtain Australian Government Security Clearance, Ability to complete Organisational Suitability Assessment, 24/7 on-call rotation", "qualificationsBasic" : "3+ years engineering team management, 7+ years systems engineering and administrative work, Experience building and managing teams, 3+ years systems engineering and operations leadership, Australian citizens", "qualificationsPreferred" : "Experience leading development life cycle processes, 5+ years distributed systems experience, Knowledge of systems engineering fundamentals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Region Services standardised description Applicants must be Australian citizens and hold or be eligible to obtain an Australian Government Security Clearance with the ability to successfully complete an Organisational Suitability Assessment. For more information regarding security clearances please visit (https://www.agsva.gov.au/). The AWS Region Services team combines AWS global cloud leadership with Australian security expertise to deliver highly secure, scalable environments for sensitive workloads. We’re creating innovative ways to use cloud computing, artificial intelligence, and machine learning while maintaining the highest standards of security and operational excellence. The Engineering organisation within Region Services is structured across core capability pillars: Compute & Machine Learning, Security Identity & Compliance, Storage & Databases, and a growing capability domain. Collectively these pillars encompass a team of varying technical skillsets, including Engineers; Technical Program Managers and Subject Matter Experts, organised into focused sub-teams. This is an opportunity to make a lasting impact on Australia’s digital future. You’ll work with AWS services, implement innovative solutions, and help customers succeed in their most important missions. We’re committed to helping our builders grow through continuous learning, mentoring, and collaboration with industry experts. Are you ready to build the future of secure cloud computing in Australia? We are looking for a passionate Systems Engineering Manager ready to solve the world's most complex technical challenges through innovative cloud computing solutions. The ideal candidate will combine technical expertise with strong leadership abilities to drive innovation and operational excellence when designing, implementing, and maintaining solutions. Key job responsibilities - Identify Builder operational pain points from disparate data and drive actions to resolve them. Examples include: creation, improvement, simplification, and elimination of processes - Knowing when to create a solution vs. improving existing tools - Hire and Develop the Best Engineers at AWS by leveraging your technical ability to identify outcomes, design project plans, and drive the right actions to build the technical acumen on the team - Collaborate and learn from world-class leaders to meet world-class challenges, every day - Hire, train, and grow new AWS engineers - Drive continual improvement in systems operations through tool building and automation - Drive root cause analyses, in collaboration with software development teams, as well as influencing local development to improve operational performance - Report on the health of these services at an executive level - Meet with internal and external customers to develop relationships and clarify requirements and schedules - Work in an environment where operational excellence is truly the first priority, and where the degree of automation is above bar - Participating in 24/7 on-call rotation to troubleshoot high severity issues *Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see https://www.agsva.gov.au/applicants/eligibility-and-suitability) A day in the life In this role, you will collaborate with Product Teams to design solutions that make efficient use of resources and technologies. You will bring a detail-oriented approach and excellent problem-solving abilities, backed by a deep understanding of distributed system design and delivery. Your contributions will leverage cross-functional business and technical skills, assessing and managing risks, measuring and reporting on progress, anticipating and resolving bottlenecks, providing escalation management, making tradeoffs, and balancing business needs with technical constraints. You will drive engineering deliverables through influence rather than authority, manage repair requests in a high-volume environment, and respond to high-severity events. Regular presentations to senior leadership will require you to synthesize problems and solutions into a simple and consumable manner. Additionally, you will be responsible for data collection, analytics, and dashboard creation to help others identify the best paths for business improvement. About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. The Region Services team redefines the way AWS designs, builds, and operates AWS regions to enable new AWS Cloud Infrastructure and Services offerings to customers across every industry and of every size, including start-ups, enterprises, and public sector organizations. Diverse Experiences 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. Why AWS 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. Work/Life Balance 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth 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: - 3+ years of engineering team management experience - 7+ years of relevant hands-on systems engineering and administrative work in networking, storage systems, operating systems experience - Experience building and managing teams - 3+ years of systems engineering and operations leadership for an Internet service or leading edge IT organization experience Preferred Qualifications: - Experience leading development life cycle processes and best practices, especially in the areas of deployment automation and monitoring - 5+ years of distributed systems experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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.", "summaryDescription" : "Systems Engineering Manager, Region Services at Amazon Support Services Pty Ltd. Skills: Cloud computing, Systems engineering, Team management. Identify operational pain points. Create solutions", "postedDate" : "2026-06-13T13:38:23.751", "createdAt" : "2026-06-13T13:38:23.751", "lastUpdated" : "2026-06-15T03:00:48.900", "ingestTimestamp" : "2026-06-13T13:38:23.751", "mongoId" : "69f4e0ba4c40e2acd1d89d38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408822/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Networking", "Storage systems", "Operating systems", "Leadership", "Mentoring", "Cloud computing", "Systems engineering", "Team management", "Systems design", "Operational excellence", "Project plans", "Risk assessment", "Data analytics", "Distributed system design", "Cloud infrastructure", "AWS regions", "Australian Government Security Clearance" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2cd04e74d8ee00a0a2fefc", "title" : "Senior Systems Engineering Lead", "company" : "Destinus", "industry" : "Aviation & Aerospace", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Engineering Lead in Aerospace in Munich, Germany, adjusted for lead seniority and full-time employment." }, "location" : "Munich, Bavaria, Germany", "locations" : [ "Munich, Bavaria, Germany" ], "timestamp" : "2026-06-16T05:12:04.743", "fingerprint" : "c662d4f2849dc9195db35fac4b214dfd21f1fe45027d751da68e78f83f725ac9", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/EDA72F413A/apply", "externalId" : "EDA72F413A", "industryFunction" : { }, "locationPoint" : "48.13743,11.57549", "structuredLocations" : [ { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Bavaria, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Aerodynamics, Flight mechanics, Mechanical design, Structural analysis, System architecture, Avionics integration, Propulsion integration, Payload integration, Control systems integration", "professionalSkills" : [ "Requirements definition", "Requirements management", "System optimization", "Design for Manufacturing", "Assembly principles", "Risk mitigation", "Technical execution", "Engineering excellence", "Program planning", "Technical estimates", "Engineering standards", "Best practices" ], "hardSkillsList" : [ "System requirements definition", "UAV design", "Aircraft design", "Aerodynamics", "Flight mechanics", "Mechanical design", "Structural analysis", "System architecture definition", "Avionics integration", "Propulsion integration", "Payload integration", "Control systems integration", "Ground testing", "Flight testing", "Manufacturing design", "Prototype iteration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "System requirements definition", "level" : "intermediate" }, { "name" : "UAV design", "level" : "intermediate" }, { "name" : "Aircraft design", "level" : "intermediate" }, { "name" : "Aerodynamics", "level" : "intermediate" }, { "name" : "Flight mechanics", "level" : "intermediate" }, { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Structural analysis", "level" : "intermediate" }, { "name" : "System architecture definition", "level" : "intermediate" }, { "name" : "Avionics integration", "level" : "intermediate" }, { "name" : "Propulsion integration", "level" : "intermediate" }, { "name" : "Payload integration", "level" : "intermediate" }, { "name" : "Control systems integration", "level" : "intermediate" }, { "name" : "Ground testing", "level" : "intermediate" }, { "name" : "Flight testing", "level" : "intermediate" }, { "name" : "Manufacturing design", "level" : "intermediate" }, { "name" : "Prototype iteration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Systems Engineering, UAV Development, Aerospace Engineering, Technical Leadership", "majorSkillsList" : [ "Systems Engineering", "UAV Development", "Aerospace Engineering", "Technical Leadership" ], "coreResponsibilities" : "Own subsystem-level technical decisions, Own trade-offs, Own design rationale, Ensure coherence across UAV subsystems, Maintain system architecture, Maintain interfaces, Own modifications from start to finish, Ensure modifications make their way into production, Ensure modifications make their way into operation, Lead subsystem requirements definition, Lead subsystem requirements management, Translate mission needs into requirements, Translate customer needs into requirements, Translate regulatory needs into requirements, Guide aerodynamic design, Guide flight performance, Guide mechanical design, Guide structural sizing, Guide materials selection, Drive system-level optimization, Stay involved in prototype manufacturing, Stay involved in assembly, Apply Design for Manufacturing principles, Apply Assembly principles, Lead prototype builds for structures, Lead prototype builds for avionics, Lead prototype builds for control, Lead prototype builds for EWIS, Ensure designs reflect manufacturability, Ensure designs reflect tolerances, Ensure designs reflect production feedback, Support system integration, Lead continuous integration efforts, Lead SITL efforts, Lead HITL efforts, Define ground test plans, Oversee ground test plans, Define flight test plans, Oversee flight test plans, Support flight test campaigns, Participate in flight test campaigns, Ensure safe execution of flight tests, Ensure rapid technical feedback loops, Lead anomaly investigations, Lead root cause analysis, Lead corrective actions, Ensure technical execution meets quality standards, Ensure technical execution meets delivery milestones, Identify technical risks, Mitigate technical risks early, Maintain focus on results, Maintain focus on deadlines, Maintain focus on engineering excellence, Support program planning, Provide realistic schedules, Provide technical estimates, Lead a multidisciplinary engineering team, Develop a multidisciplinary engineering team, Establish engineering standards, Establish engineering best practices, Collaborate with program management, Collaborate with manufacturing, Collaborate with operations, Collaborate with partners", "teamCollaboration" : "Multidisciplinary engineering team; Program management; Manufacturing; Operations; Partners", "projectManagementSkills" : [ "Program planning", "Realistic schedules", "Technical estimates" ], "domainKnowledge" : "UAV systems; Aerospace programs; Aircraft design; Fixed-wing UAV; VTOL UAV; Hybrid UAV; Airworthiness; Certification; Regulatory frameworks", "domainList" : [ "uav-systems", "aerospace-programs", "aircraft-design", "fixed-wing-uav", "vtol-uav", "hybrid-uav", "airworthiness", "certification", "regulatory-frameworks" ], "domainSpecificKnowledge" : [ "UAV systems", "Aerospace programs", "Aircraft design", "Fixed-wing UAV", "VTOL UAV", "Hybrid UAV", "Airworthiness", "Certification", "Regulatory frameworks" ], "innovationCreativity" : "Bold concepts into reality", "problemSolvingSkills" : "Root cause analysis; Anomaly investigations", "outcomesObjectives" : "Turn bold concepts into flight-ready reality; Ensure modifications make their way into production; Ensure modifications make their way into operation; Ensure designs reflect manufacturability; Ensure designs reflect tolerances; Ensure designs reflect production feedback; Ensure technical execution meets quality standards; Ensure technical execution meets delivery milestones; Ensure safe execution of flight tests", "qualificationsBasic" : "5 years of experience in senior engineering roles, Technical lead on complex UAV projects, System engineer on complex UAV projects, Vehicle architect on complex UAV projects, Hands-on experience full UAV development lifecycle, System requirements definition, System requirements management, UAV design, Aircraft design, Aerodynamics, Flight mechanics, Mechanical design, Structural analysis, System architecture definition, Integration of avionics, Integration of propulsion, Integration of payloads, Integration of control systems, Ground testing, Flight testing, Manufacturing-driven design, Prototype iteration", "qualificationsPreferred" : "Fixed-wing UAV configurations, VTOL UAV configurations, Hybrid UAV configurations, Airworthiness frameworks, Certification frameworks, Regulatory frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**About the role** Imagine being technical backbone behind Destinus’ unmanned aerial vehicles, owning the system end-to-end and setting the technical direction that turns bold concepts into flight-ready reality. The Senior Systems Engineer is the technical owner of major sub-systems in our UAVs. This role leads the end-to-end technical execution of major sub-system UAV modifications, from early concept and requirements definition through detailed design, prototype manufacturing, system integration, testing, and flight qualification. This position requires strong hands-on technical background, proven leadership in complex aerospace programs, and a clear focus on results, quality, and delivery timelines. The position reports directly into the Chief Engineer for the project. At **Destinus** , we are revolutionizing the defense industry with cutting-edge Unmanned Aerial Vehicles (UAVs). Our innovative technologies are designed to meet the unique demands of modern defense operations, delivering unparalleled speed, precision, and cost effectiveness. **Destinus** partners with government agencies and defense organizations worldwide to provide advanced solutions for mission-critical operations, enabling a new era of efficiency and technological superiority. Join us in shaping the future of defense with groundbreaking aerospace innovations. **What You´ll Do** **Sub-system Technical Ownership ** * Own subsystem-level technical decisions, trade-offs, and design rationale. * Ensure coherence across UAV subsystems and maintain system architecture and interfaces. * Own modifications from start to finish, ensuring that they make their way into production and operation. **Requirements & Vehicle Design ** * Lead subsystem requirements definition and management. * Translate mission, customer, and regulatory needs into verifiable technical requirements. * Guide aerodynamic design and flight performance, mechanical design and structural sizing, materials selection. * Drive system-level optimization for performance, weight, cost, reliability, and manufacturability. **Hands-on Engineering, Prototyping & Manufacturing ** * Stay directly involved in prototype manufacturing and assembly. * Apply strong Design for Manufacturing and Assembly principles. * Lead prototype builds for structures, avionics, control and EWIS. * Ensure designs reflect manufacturability, tolerances, and production feedback **Integration, Testing & Flight Campaigns ** * Support system integration across all UAV subsystems. * Lead continuous integration, SITL and HITL efforts. * Define and oversee ground and flight test plans. * Actively support and participate in flight test campaigns, ensuring safe execution and rapid technical feedback loops. * Lead anomaly investigations, root cause analysis, and corrective actions. **Project Execution & Delivery ** * Ensure technical execution meets quality standards and delivery milestones. * Identify and mitigate technical risks early. * Maintain strong focus on results, deadlines, and engineering excellence. * Support program planning with realistic schedules and technical estimates. **Team Leadership & Collaboration ** * Lead and develop a multidisciplinary engineering team. * Establish engineering standards and best practices. * Collaborate closely with program management, manufacturing, operations, and partners. **Requirements** **What You’ll Need** * Minimum 5 years of experience in senior engineering roles within UAV or aerospace development programs. * Proven track record as technical lead, system engineer or vehicle architect on complex UAV projects. * Demonstrable hands-on experience across the full UAV development lifecycle: design → build → test → fly. * Deep technical expertise in: * System requirements definition and management * UAV and aircraft design * Aerodynamics and flight mechanics * Mechanical design and structural analysis * System architecture definition * Integration of avionics, propulsion, payloads, and control systems * Ground and flight testing * Strong understanding of manufacturing-driven design and prototype iteration. * Experience working in high-technology, fast-paced, results-oriented environments. **Who You Are** You bring hands-on experience navigating airworthiness, certification, and regulatory frameworks, and you understand what it takes to move UAV systems from concept to compliant, flight-ready platforms. You have worked with fixed-wing, VTOL, or hybrid UAV configurations and know the technical and operational trade-offs that come with each architecture.", "summaryDescription" : "Senior Systems Engineering Lead at Destinus. Skills: Systems Engineering, UAV Development, Aerospace Engineering, Technical Leadership. Own subsystem-level technical decisions. Own trade-offs", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T18:35:10.384", "lastUpdated" : "2026-06-16T05:12:04.743", "ingestTimestamp" : "2026-06-14T18:35:10.384", "mongoId" : "6a2cd04e74d8ee00a0a2fefc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/EDA72F413A", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "System requirements definition", "UAV design", "Aircraft design", "Aerodynamics", "Flight mechanics", "Mechanical design", "Structural analysis", "System architecture definition", "Avionics integration", "Propulsion integration", "Payload integration", "Control systems integration", "Ground testing", "Flight testing", "Manufacturing design", "Prototype iteration", "Leadership", "Systems Engineering", "UAV Development", "Aerospace Engineering", "Technical Leadership", "Requirements definition", "Requirements management", "System optimization", "Design for Manufacturing", "Assembly principles", "Risk mitigation", "Technical execution", "Engineering excellence", "Program planning", "Technical estimates", "Engineering standards", "Best practices", "Realistic schedules", "UAV systems", "Aerospace programs", "Fixed-wing UAV", "VTOL UAV", "Hybrid UAV", "Airworthiness", "Certification", "Regulatory frameworks" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c1d74d8ee00a094c5b4", "title" : "Supplier Industrialization Engineering Intern (Fall 2026)", "company" : "Zipline", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in the logistics industry in South San Francisco, adjusted for company size and seniority." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T08:44:40.374", "fingerprint" : "7164a03ac0cc494011bbae181b831c357b668a6ff8fbfdda0a99b11a48b53c53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7766424003#open-roles", "externalId" : "7766424003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "3D CAD, NX, GD&T", "professionalSkills" : [ "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Root cause analysis", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement" ], "hardSkillsList" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques" ], "hardSkills" : [ { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Assembly processes", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "CAPA techniques", "level" : "intermediate" } ], "majorSkills" : "Supplier industrialization, Manufacturing operations, Quality assurance", "majorSkillsList" : [ "Supplier industrialization", "Manufacturing operations", "Quality assurance" ], "coreResponsibilities" : "Participate in DfX discussions, Assist with assembly line planning, Develop process documentation, Maintain process documentation, Provide training to operators, Support supplier evaluation, Support supplier qualification, Assist in implementing manufacturing processes, Design fixtures for assembly, Design fixtures for inspection, Propose automation strategies, Assist in root cause analysis, Implement corrective actions, Implement preventive actions, Monitor supplier performance, Track process performance, Generate performance reports, Assist in CI projects", "teamCollaboration" : "Internal and external stakeholders; Cross-functional stakeholders", "projectManagementSkills" : [ "APQP", "PPAP" ], "domainKnowledge" : "Design for Manufacturability; Assembly; Statistical Quality Control; Root Cause Analysis; Advanced Product Quality Planning; Production Part Approval Process; Problem Solving Frameworks; CAPA Techniques; Machining; Injection Molding; Sheet Metal Stamping; 3D Printing; PCBA Manufacturing; Mechanical Assembly; Electromechanical Assembly", "domainList" : [ "design-for-manufacturability", "assembly", "statistical-quality-control", "root-cause-analysis", "advanced-product-quality-planning", "production-part-approval-process", "problem-solving-frameworks", "capa-techniques", "machining", "injection-molding", "sheet-metal-stamping", "3d-printing", "pcba-manufacturing", "mechanical-assembly", "electromechanical-assembly" ], "domainSpecificKnowledge" : [ "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly" ], "toolProficiency" : [ "NX" ], "documentationSkills" : "Process documentation; Manufacturing Process Flows; FMEAs; Control Plans; Work Instructions", "problemSolvingSkills" : "Root cause analysis; Problem solving", "outcomesObjectives" : "Meet quality targets; Meet cost targets; Meet delivery targets; Ensure consistent standards; Meet ZAP requirements; Improve efficiency; Improve reliability; Resolve quality issues; Prevent future occurrences; Drive continuous improvements; Enhance manufacturing processes; Reduce costs; Improve product quality", "qualificationsBasic" : "Completed second year undergraduate studies, Proficiency in 3D CAD Software, Ability to read Engineering Drawings, Understanding of manufacturing processes, Understanding of APQP, Understanding of PPAP, Understanding of Problem Solving Frameworks, Understanding of RCA/CAPA Techniques", "qualificationsPreferred" : "NX preferred, GD&T knowledge preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About The Supplier Industrialization Engineering Team Zipline is scaling drone production and flight operations by more than 20× over the next three years while maintaining best-in-class safety and reliability. You will own the entire supplier industrialization and supplier development engineering functions — building the team, processes, tools, and culture that make Zipline’s massive scale-up possible without compromising quality, delivery, or cost. The Role As an SIE Intern, the projects you undertake will be focused on the improvement of manufacturing operations & quality at critical Zipline suppliers. This involves working with internal & external cross-functional stakeholders on design for manufacturing & assembly, manufacturing process design & implementation, statistical quality control, and root cause analysis to ensure that Zipline suppliers can meet quality, cost & delivery targets set for them. What You'll Do Design for X (DfX) Discussions: Participate in DfX discussions with internal and external stakeholders to ensure designs are optimized for manufacturability, assembly, and efficiency across Zipline’s Top Level Assemblies (TLAs) and sub-assemblies. Assembly Line Management: Assist with the planning, budgeting, design, procurement, commissioning, and validation of assembly lines and associated equipment at Zipline for Product Validation Builds and mass production at contract manufacturers (CMs). Process Documentation & Training: Develop and maintain key process documentation such as Manufacturing Process Flows, FMEAs, Control Plans, and Work Instructions. Provide training to operators and quality teams to ensure consistent standards in manufacturing and assembly processes. Supplier Management & Qualification: Support in evaluating and qualifying new suppliers, ensuring they meet Zipline’s quality and production standards. Assist in implementing manufacturing processes at supplier facilities to meet the Zipline Approval Process (ZAP) requirements. Fixture Design & Automation: Design fixtures for assembly and inspection, and propose automation strategies to improve efficiency and reliability, both at Zipline and supplier facilities. Root Cause Analysis (RCA) & Corrective Actions: Assist in performing root cause analysis and implementing corrective and preventive actions (CAPA) to resolve quality issues, ensuring these actions are effectively implemented to prevent future occurrences. Supplier and Process Performance Tracking: Monitor and track Key Performance Indicators (KPIs) such as first-pass yield, on-time delivery, and cost of poor quality, generating regular reports for internal and external stakeholders to drive continuous improvements. Continuous Improvement Projects: Assist in Continuous Improvement (CI) projects to enhance manufacturing processes, reduce costs, and improve product quality at both Zipline and its supplier locations What You'll Bring Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible. Proficiency in 3D CAD Software (NX preferred) & ability to read Engineering Drawings (with GD&T) Understanding of traditional & non-traditional manufacturing processes (Machining, Injection Molding, Sheet Metal Stamping, 3D Printing, PCBA Manufacturing, Mechanical or Electromechanical Assembly, etc.) Understanding of Advanced Product Quality Planning (APQP) & Production Part Approval Process (PPAP) Understanding of Problem Solving Frameworks (8D, FTA, Pareto Analysis, etc.) & RCA/ CAPA Techniques used within these frameworks Willingness to work in a super fast-paced environment that is in a constant state of evolution Be a student pursuing a(n) graduate/ undergraduate degree in one of the following concentrations: Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Manufacturing Engineering, Physics, Chemistry, Statistics, Mathematics. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Supplier Industrialization Engineering Intern (Fall 2026) at Zipline. Skills: Supplier industrialization, Manufacturing operations, Quality assurance. Participate in DfX discussions. Assist with assembly line planning", "postedDate" : "2026-06-14T08:19:43.382", "createdAt" : "2026-06-14T08:19:43.382", "lastUpdated" : "2026-06-15T08:44:40.374", "ingestTimestamp" : "2026-06-14T08:19:43.382", "mongoId" : "6a2c7c1d74d8ee00a094c5b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 64000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques", "Supplier industrialization", "Manufacturing operations", "Quality assurance", "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement", "APQP", "PPAP", "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly", "NX" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a6a4e74d8ee00a063b390", "title" : "Senior Engineer, Systems Engineering", "company" : "Sparkfund", "industry" : "Energy", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Systems Engineer in the US, adjusted for the Climate Tech industry and remote work." }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-14T21:01:13.591", "fingerprint" : "141249a7fe1ef4a44e2e3facaaa1ae73649ffa53d1042324858ac565845b643e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sparkfund/jobs/4687302006", "externalId" : "4687302006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Electrical engineering, Power systems engineering, Distributed energy systems, Battery storage, Solar, EV charging, Microgrids, Grid modernization, Operational technology, DERMS, ADMS, SCADA, DMS, OMS", "professionalSkills" : [ "Grid planning", "Integration strategies", "System integration", "Program design", "Grid value assessment", "Asset management", "Value chain management" ], "hardSkillsList" : [ "Distribution planning", "Interconnection engineering", "Operational technology systems", "Energy storage systems", "Grid integration", "Wholesale energy markets", "DER participation models", "Utility communications protocols", "Controls architecture" ], "hardSkills" : [ { "name" : "Distribution planning", "level" : "intermediate" }, { "name" : "Interconnection engineering", "level" : "intermediate" }, { "name" : "Operational technology systems", "level" : "intermediate" }, { "name" : "Energy storage systems", "level" : "intermediate" }, { "name" : "Grid integration", "level" : "intermediate" }, { "name" : "Wholesale energy markets", "level" : "intermediate" }, { "name" : "DER participation models", "level" : "intermediate" }, { "name" : "Utility communications protocols", "level" : "intermediate" }, { "name" : "Controls architecture", "level" : "intermediate" } ], "majorSkills" : "Systems engineering, Distributed energy resources, Grid modernization, Utility operations", "majorSkillsList" : [ "Systems engineering", "Distributed energy resources", "Grid modernization", "Utility operations" ], "coreResponsibilities" : "Evaluate utility distribution systems, Identify opportunities for distributed energy deployment, Assess grid needs, Assess integration requirements, Support technical design of distributed energy resources, Support deployment of distributed energy resources, Develop communications integration strategies, Develop controls integration strategies, Develop operational technology integration strategies, Enable grid-connected assets to participate in programs, Analyze utility systems, Analyze grid constraints, Analyze hosting capacity, Analyze operational requirements, Support interconnection planning, Support distributed energy integration, Translate technical requirements into recommendations, Collaborate with Commercialization team, Collaborate with Program Management team, Collaborate with Project Delivery teams, Bring energy solutions from concept to deployment", "teamCollaboration" : "Utility engineering teams; Utility planning teams; Utility operations teams; Cross-functional teams", "projectManagementSkills" : [ "Program Management" ], "domainKnowledge" : "Electric grid; Utility operations; Distributed energy resources; Grid modernization; Energy markets; Battery energy storage systems; EV charging infrastructure; Wholesale energy markets; DER participation models; Utility communications protocols; Controls architecture", "domainList" : [ "electric-grid", "utility-operations", "distributed-energy-resources", "grid-modernization", "energy-markets", "battery-energy-storage-systems", "ev-charging-infrastructure", "wholesale-energy-markets", "der-participation-models", "utility-communications-protocols", "controls-architecture" ], "domainSpecificKnowledge" : [ "Electric grid", "Utility operations", "Distributed energy resources", "Grid modernization", "Energy markets", "Battery energy storage systems", "EV charging infrastructure", "Wholesale energy markets", "DER participation models", "Utility communications protocols", "Controls architecture" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "5+ years of experience in electrical engineering, 5+ years of experience in power systems engineering, 5+ years of experience in utility engineering, 5+ years of experience in distribution planning, 5+ years of experience in distributed energy systems, Experience working with electric utilities, Experience working with energy developers, Experience working with engineering consulting firms, Experience working with grid operators, Familiarity with distributed energy technologies, Experience evaluating technical requirements, Experience evaluating engineering tradeoffs, Experience evaluating system integration challenges, Communication skills, Ability to work with technical stakeholders, Ability to work with non-technical stakeholders", "qualificationsPreferred" : "Distribution planning experience, Interconnection engineering experience, Operational technology systems experience, Energy storage systems experience, Grid integration experience, Wholesale energy markets experience, DER participation models experience, Utility communications protocols experience, Controls architecture experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Sparkfund Sparkfund is the utility services company unlocking capacity on the grid. Through its Distributed Capacity Procurement (DCP) model, Sparkfund enables utilities, energy majors, and large-load customers to deploy front-of-the-meter batteries and gensets as distribution infrastructure. By adding targeted capacity exactly where and when the grid needs it most, DCP helps meet demand, support reliability, and put downward pressure on rates. Sparkfund supports program design, grid value assessment, asset host engagement, and value chain management to ensure on-time, on-budget deployment with maximum system value and lowest cost. With more than 3,200 projects deployed across 43 states and more than 300MW of energized assets constructed, Sparkfund is transforming customer-sited assets into a valuable portfolio resource for the benefit of our society. To learn more about Sparkfund, visit sparkfund.com. Senior Engineer, Systems Engineering Remote | Full-Time Help Build the Future of the Electric Grid The electric grid is changing faster than it has in decades. Utilities are facing increasing demand from electrification, data centers, and economic growth while also integrating new technologies such as battery storage, electric vehicles, and distributed energy resources. At Sparkfund, we're helping utilities solve these challenges through innovative programs that unlock flexible energy capacity and modernize how the grid is planned, operated, and optimized. We're looking for a Senior Engineer, Systems Engineering to help shape the technical foundation of this transformation. This is an opportunity to work at the intersection of utility operations, distributed energy resources, grid modernization, and emerging energy markets. You'll partner directly with utility engineering, planning, operations, and regulatory teams to evaluate opportunities, design integration strategies, and support the deployment of distributed energy solutions at scale. If you're excited about solving complex technical problems, influencing the future of utility infrastructure, and working on projects that have real-world impact, we'd love to talk. About Sparkfund Sparkfund partners with utilities and large energy consumers to develop and deploy Distributed Capacity Procurement (DCP) programs—an innovative approach to meeting grid needs through distributed energy resources rather than traditional infrastructure investments alone. Our work helps utilities improve grid reliability, increase flexibility, accelerate electrification, and create value for customers while supporting the transition to a more resilient and sustainable energy future. We are a remote-first company with team members across the United States and hub offices in Denver, Minneapolis, and Washington, D. C. What You'll Do As a Senior Engineer, Systems Engineering, you'll serve as a key technical contributor supporting the design and implementation of distributed energy programs across multiple utility partners and markets. You'll: Evaluate utility distribution systems and grid planning processes to identify opportunities for distributed energy deployment Work directly with utility engineering, planning, and operations teams to assess grid needs and integration requirements Support the technical design and deployment of distributed energy resources, including battery energy storage systems (BESS), EV charging infrastructure, and other emerging technologies Develop communications, controls, and operational technology (OT) integration strategies that enable grid-connected assets to participate in utility and market programs Analyze utility systems, grid constraints, hosting capacity, and operational requirements Support interconnection planning and distributed energy integration efforts Translate complex technical requirements into actionable recommendations for internal and external stakeholders Collaborate with Commercialization, Program Management, and Project Delivery teams to bring innovative energy solutions from concept to deployment What Makes This Role Unique Shape Industry Transformation Help utilities navigate one of the most significant shifts in the history of the electric power industry. Work Beyond a Single Utility Territory Gain exposure to multiple utility partners, regulatory environments, market structures, and distributed energy technologies. Drive Real-World Impact Your work won't sit on a shelf. You'll help design and implement programs that influence how energy resources are deployed and operated on the grid. Blend Strategy and Engineering This role combines deep technical problem-solving with business, operational, and market considerations. Collaborate with Industry Leaders Work alongside utility executives, engineers, regulators, technology providers, and energy market participants who are helping define the future of energy infrastructure. What We're Looking For We're interested in engineers who are energized by complex systems, emerging technologies, and solving practical challenges at scale. You may be a strong fit if you have: 5+ years of experience in electrical engineering, power systems engineering, utility engineering, distribution planning, or distributed energy systems Experience working with electric utilities, energy developers, engineering consulting firms, grid operators, or related organizations Familiarity with distributed energy technologies such as battery storage, solar, EV charging, microgrids, or grid modernization technologies Experience evaluating technical requirements, engineering tradeoffs, and system integration challenges Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders A passion for innovation, problem-solving, and improving how the grid operates Preferred experience includes: Distribution planning or interconnection engineering Operational technology systems (DERMS, ADMS, SCADA, DMS/OMS) Energy storage systems and grid integration Wholesale energy markets and DER participation models Utility communications protocols and controls architecture Work Location This is a remote-first position and may be based anywhere within the United States. Occasional travel may be required for team gatherings, utility partner meetings, and industry events. Compensation & Benefits The anticipated base salary range for this position is $119,000 - $142,000, depending on experience, qualifications, geographic location, and other business considerations. Sparkfund offers a competitive benefits package including: Medical, dental, and vision coverage 401(k) with company match Flexible vacation policy Paid parental leave Remote-first work environment Monthly phone and internet stipend Strong commitment to work-life balance Join Us The future of the electric grid will require new ideas, new technologies, and new ways of thinking. If you're excited about helping utilities solve complex challenges and accelerating the energy transition, we'd love to hear from you. Apply today and help build what's next. Equal Employment Opportunity Sparkfund is an equal opportunity employer. We are committed to providing an inclusive and welcoming environment for all employees and applicants. We do not discriminate in employment on the basis of race, color, religion, creed, sex (including pregnancy, sexual orientation, and gender identity), national origin, ancestry, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable law. Sparkfund also provides reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs or practices, in all phases of the hiring process and throughout employment. If you need an accommodation, please let us know. Disclaimer This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Duties, responsibilities, and requirements may change at any time based on business needs. We encourage individuals of all backgrounds and experiences to apply — even if you do not meet every listed qualification — as skills and competencies can develop in different ways.", "summaryDescription" : "Senior Engineer, Systems Engineering at Sparkfund. Skills: Systems engineering, Distributed energy resources, Grid modernization, Utility operations. Evaluate utility distribution systems. Identify opportunities for distributed energy deployment", "postedDate" : "2026-06-11T20:54:12.556", "createdAt" : "2026-06-11T20:54:12.556", "lastUpdated" : "2026-06-14T21:01:13.591", "ingestTimestamp" : "2026-06-11T20:54:12.556", "mongoId" : "6a2a6a4e74d8ee00a063b390", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Distribution planning", "Interconnection engineering", "Operational technology systems", "Energy storage systems", "Grid integration", "Wholesale energy markets", "DER participation models", "Utility communications protocols", "Controls architecture", "Systems engineering", "Distributed energy resources", "Grid modernization", "Utility operations", "Grid planning", "Integration strategies", "System integration", "Program design", "Grid value assessment", "Asset management", "Value chain management", "Program Management", "Electric grid", "Energy markets", "Battery energy storage systems", "EV charging infrastructure" ], "skillCount" : 25, "jobCategory" : "other", "jobSubcategory" : "programs", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Energy" }, { "id" : "6a2a47fd74d8ee00a05dd004", "title" : "Director, Channel Systems Engineering", "company" : "Veeam Software", "industry" : "Technology", "salary" : { "min" : 219600.0, "max" : 468800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-14T22:57:52.978", "fingerprint" : "035720dbb89b51dd46a2af69586c03a24ce2d2e6d442ccbf505a9533b3660247", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/veeamsoftware/jobs/4877837101", "externalId" : "4877837101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceLevel" : "Director", "professionalSkills" : [ "Channel strategy", "GTM execution", "Technical enablement", "Architectural alignment" ], "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Channel Systems Engineering, Technical leadership, Partner enablement", "majorSkillsList" : [ "Channel Systems Engineering", "Technical leadership", "Partner enablement" ], "coreResponsibilities" : "Lead channel technical organization, Manage team of Channel Systems Engineers, Ensure partners are technically enabled, Ensure partners are architecturally aligned, Ensure partners are successful delivering Veeam solutions, Act as technical connector across Veeam Field Sales, Act as technical connector across Alliances, Act as technical connector across Partner teams, Drive unified technical execution, Drive unified GTM execution, Lead channel SE strategy across a region, Lead channel SE strategy across a segment, Align technical engagement with company goals, Align technical engagement with partner GTM motions, Align technical engagement with market dynamics, Translate strategy into repeatable execution models, Drive operational excellence", "teamCollaboration" : "Veeam Field Sales; Alliances; Partner teams; Channel; Sales; Product; Engineering; Systems Engineering", "domainKnowledge" : "Data resilience; Data security posture management; AI risk", "domainList" : [ "data-resilience", "data-security-posture-management", "ai-risk" ], "domainSpecificKnowledge" : [ "Data resilience", "Data security posture management", "AI risk" ], "qualificationsBasic" : "Technical leadership experience, Channel SE strategy experience, Align technical engagement with company goals, Translate strategy into repeatable execution models, Drive operational excellence", "remoteFriendly" : false, "rawDescription" : "Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the role: The Director – Channel Systems Engineering leads the channel technical organization, managing a team of Channel Systems Engineers aligned to strategic partners. The role ensures partners are technically enabled, architecturally aligned, and consistently successful delivering Veeam solutions. A key responsibility is acting as the technical connector across Veeam Field Sales, Alliances, and Partner teams to drive unified technical and GTM execution. The Director operates with high autonomy and influences outcomes across Channel, Sales, Product, Engineering, and Systems Engineering. What you'll do Leadership reduce friction and duplication. Strategic Channel Execution Lead channel SE strategy across a region or segment. Align technical engagement with company goals, partner GTM motions, and market dynamics. Translate strategy into repeatable execution models and drive operational excellence. Technical, Data Resilience Sales roles located in Georgia, Ohio, and Arizona $252,500—$468,800 USD Zone 4: All other US locations $219,600—$407,900 USD Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.", "summaryDescription" : "Director, Channel Systems Engineering at Veeam Software. Skills: Channel Systems Engineering, Technical leadership, Partner enablement. Lead channel technical organization. Manage team of Channel Systems Engineers", "postedDate" : "2026-06-11T22:56:40.036", "createdAt" : "2026-06-11T22:56:40.036", "lastUpdated" : "2026-06-14T22:57:52.978", "ingestTimestamp" : "2026-06-11T22:56:40.036", "mongoId" : "6a2a47fd74d8ee00a05dd004", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 219600, "salaryAnnualMax" : 468800, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Leadership", "Channel Systems Engineering", "Technical leadership", "Partner enablement", "Channel strategy", "GTM execution", "Technical enablement", "Architectural alignment", "Data resilience", "Data security posture management", "AI risk" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "sales-engineering,-americas-1001315", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "69164da870f0b99d586f3369", "title" : "Checkout Engineering Systems Engineer, GRAISE", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, System Planning/Administration, worldwide grocery stores", "salary" : { "min" : 94000.0, "max" : 207900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-14T22:40:54.629", "fingerprint" : "3fc720fe127aaf59061cffad017dcb09f95e84a3fefe30265b3c5d5f50749b2b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121561/apply", "externalId" : "54137062-1de3-426e-96ab-9cac68a1eb42", "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", "technicalSkills" : "Python, Java, Perl, PHP, Ruby, Bash, Shell, TCP/IP, HTTP, DNS", "professionalSkills" : [ "System design", "Payment systems", "POS systems" ], "hardSkillsList" : [ "Site reliability engineering", "Systems engineering", "Systems administration", "DevOps", "Security administration", "Network administration", "Automated testing", "Monitoring solutions", "Log analysis", "Automated alerting systems" ], "softSkillsList" : [ "Problem-solving", "Analytical skills" ], "hardSkills" : [ { "name" : "Site reliability engineering", "level" : "intermediate" }, { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Systems administration", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "Security administration", "level" : "intermediate" }, { "name" : "Network administration", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Monitoring solutions", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Automated alerting systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" } ], "majorSkills" : "System design, Payment systems, POS systems, Site reliability engineering", "majorSkillsList" : [ "System design", "Payment systems", "POS systems", "Site reliability engineering" ], "coreResponsibilities" : "Lead technical design discussions, Implement critical components, Create design specifications, Establish patterns for automated testing, Establish patterns for monitoring solutions, Develop automated alerting systems, Collaborate with cross-functional teams, Review technical designs, Review technical implementations, Lead resolution of production issues, Lead retrospectives, Author Corrections of Error (COEs), Drive improvements to product performance, Drive improvements to system performance, Drive improvements to product availability, Drive improvements to system availability, Identify opportunities to improve operations, Define proactive solutions, Break down complex problems, Author technical documentation, Review technical documentation, Address critical issues, Analyze system metrics, Support critical POS functions, Troubleshoot issues, Collaborate with vendors, Participate in standups, Participate in support retrospectives, Participate in design reviews, Collaborate with product managers, Discuss feature impact on stability, Mitigate system risks, Participate in architecture discussions, Lead architecture discussions", "teamCollaboration" : "Cross-functional teams; Internal teams; Payment providers; POS vendors", "domainKnowledge" : "Payment systems; Point-of-Sale (POS) systems; Service-oriented architecture; Web services", "domainList" : [ "payment-systems", "point-of-sale-pos-systems", "service-oriented-architecture", "web-services" ], "domainSpecificKnowledge" : [ "Payment systems", "Point-of-Sale (POS) systems", "Service-oriented architecture", "Web services" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving; Analytical skills; Root cause analysis", "outcomesObjectives" : "Deliver robust solutions; Deliver scalable solutions; Improve performance; Improve uptime; Resolve break/fix issues; Deliver reliable payment solutions; Deliver secure payment solutions; Power in-store transactions", "qualificationsBasic" : "4+ years SRE/systems engineering/DevOps/security/network admin experience, 5+ years Linux experience, 5+ years systems engineering experience, Bachelor's degree or relevant work experience, Experience with Linux, Experience in systems engineering, Experience in Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent", "qualificationsPreferred" : "Knowledge of TCP/IP, HTTP, DNS, Experience designing automation scripts, Experience reviewing scripting changes, Experience in 24/7 production environment, Experience with service-oriented architecture, Experience with web services", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is seeking an Application Engineer with strong system design skills to join our Checkout Engineering team in Austin, TX. This role will focus on two key areas: (1) payment systems across all Whole Foods Market (WFM) stores globally, and (2) Point-of-Sale (POS) software globally. The ideal candidate will own the \"how\" of delivering robust, scalable solutions, while contributing significantly to the \"what\" of our payment and POS systems. You will be the technical driving force behind implementation strategies and best practices, playing a key role in shaping the design and development of these critical systems. Key job responsibilities - Lead technical design discussions that impact payment and POS systems. - Implement critical components of payment and POS systems. - Create design specifications for complex integration between Checkout systems, internal boundary systems, and vendor systems. - Establish patterns for automated testing strategies and monitoring solutions. - Develop automated alerting systems based on log analysis, with the ability to identify both present and absent critical data elements in payment flows. - Collaborate with cross-functional teams to ensure designs meet business requirements. - Review and provide guidance on technical designs and implementations. - Lead and drive resolution of highly complex production issues. - Lead retrospectives and author Corrections of Error (COEs). - Drive systematic improvements to product/system performance and availability. - Proactively identify and execute opportunities to improve operations. - Detect trends and define proactive solutions before problems occur. - Break down complex problems into actionable solutions that can be worked in parallel. - Author and review technical documentation. - Exhibit excellent problem-solving and analytical skills. A day in the life - Review incident reports and address critical issues that occurred during off-hours. - Analyze system metrics to identify potential bottlenecks and areas for enhancement. - Support critical POS functions while progressing high-priority items. - Troubleshoot issues and collaborate with vendors and cross-functional teams. - Participate in standups including support retrospectives and design reviews for new architecture solutions. - Collaborate with product managers on upcoming feature releases, discussing their potential impact on system stability and how to mitigate any risks - Participate or lead architecture discussions shaping the systems design and functionality. About the team We are responsible for in-store payment and POS systems across all WFM locations (US, Canada, and UK). We collaborate with payment providers, POS vendors, and internal teams across WFM and Amazon to enable new features, improve performance and uptime, and resolve critical break/fix issue. Our mission is to deliver reliable, secure payment solutions and POS operations that power over a million in-store transactions daily. Basic Qualifications: - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 5+ years of Linux experience - 5+ years of systems engineering experience - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration - Experience working with Linux - Experience in systems engineering - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent Preferred Qualifications: - Knowledge of TCP/IP and networking protocols such as HTTP and DNS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services 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 $94,000/year in our lowest geographic market up to $207,900/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" : "Checkout Engineering Systems Engineer, GRAISE at Amazon.com Services LLC. Skills: System design, Payment systems, POS systems, Site reliability engineering. Lead technical design discussions. Implement critical components", "postedDate" : "2026-06-13T00:48:33.066", "createdAt" : "2026-06-13T00:48:33.066", "lastUpdated" : "2026-06-14T22:40:54.629", "ingestTimestamp" : "2026-06-13T00:48:33.066", "mongoId" : "69164da870f0b99d586f3369", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121561/apply", "salaryAnnualMin" : 94000, "salaryAnnualMax" : 207900, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Site reliability engineering", "Systems engineering", "Systems administration", "DevOps", "Security administration", "Network administration", "Automated testing", "Monitoring solutions", "Log analysis", "Automated alerting systems", "Problem-solving", "Analytical skills", "System design", "Payment systems", "POS systems", "Point-of-Sale (POS) systems", "Service-oriented architecture", "Web services" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305098f292fd229cef28cb", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T10:13:47.018", "fingerprint" : "85e2e68876cd1c84d147f18b93f9a9215ab1a18aeb0621aa39c7592671baf329", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd/application", "externalId" : "2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards" ], "hardSkillsList" : [ "SQL", "System architecture" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems Management, LLM Systems", "majorSkillsList" : [ "AI Engineering", "Systems Management", "LLM Systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven hypothesis validation", "outcomesObjectives" : "Automate fragmented market; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience, Proven interest in LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record of taking ideas into products", "qualificationsPreferred" : "Management consulting experience, Technical product management experience at startup", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems Management, LLM Systems. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:27:00.106", "lastUpdated" : "2026-06-16T08:35:46.305", "ingestTimestamp" : "2026-06-16T00:27:00.106", "mongoId" : "6a305930f292fd229cf45a0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "SQL", "System architecture", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards", "Roadmap", "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cea3d74d8ee00a0a70612", "title" : "Intern, Test Engineering", "company" : "Harbinger Motors Inc.", "industry" : "Manufacturing", "salary" : { "min" : 25.0, "max" : 35.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Garden Grove, California, United States", "locations" : [ "Garden Grove", "California", "United States" ], "timestamp" : "2026-06-16T01:57:11.483", "fingerprint" : "0ea286929cb5d46d5b51de0ff0fdf8d5529d3cda6e4c53e16ecf93734f0ecbeb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/harbingermotors/jobs/5164330007", "externalId" : "5164330007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Garden Grove", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7746292,-117.9463717" } ], "locationText" : "Garden Grove, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in testing automotive components, Set up test equipment, Operate test equipment, Monitor test equipment, Collect test data, Analyze test data, Support development of test procedures, Prepare test plans, Ensure proper test execution, Document test results, Document observations, Document deviations, Provide detailed reports, Communicate test outcomes, Suggest improvements, Maintain test equipment, Ensure proper calibration, Ensure equipment functionality, Adhere to safety standards, Adhere to safety protocols, Participate in team meetings, Discuss test results, Discuss project updates, Assist in troubleshooting issues, Assist in root-cause analysis, Provide potential solutions, Provide workarounds", "teamCollaboration" : "Cross-functional teams; Test engineers; Product design release engineers; Manufacturing engineers", "domainKnowledge" : "Vehicle components; Electric vehicle (EV); EV platform", "domainList" : [ "vehicle-components", "electric-vehicle-ev", "ev-platform" ], "domainSpecificKnowledge" : [ "Vehicle components", "Electric vehicle (EV)", "EV platform" ], "toolProficiency" : [ "CATIA 3DExperience" ], "documentationSkills" : "Detailed reports", "problemSolvingSkills" : "Root-cause analysis; Troubleshooting", "qualificationsBasic" : "Enrolled in Bachelor’s degree program or greater in electrical, mechanical, mechatronics, or related engineering field, Work authorized in the United States OR ability to obtain necessary work visa", "qualificationsPreferred" : "Ability to create 3D CAD models and 2D drawings using CATIA 3DExperience, Understanding of 2D drawing layout and GD&T", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Harbinger Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation. Job Overview: Location: Immerse yourself in our innovative culture! This role requires a commitment of 4 days in-office per week at our facility in Garden Grove, CA as well as full-time hours (40 hours a week). Duration: 11-14 weeks (Sep 8 to Dec 11 OR Sep 21 to Dec 4) Relocation Support: A $1,000 relocation stipend is available for interns currently residing more than 50 miles from Garden Grove, CA. Compensation: Earn an hourly rate of $25-35 USD per hour. Job Summary: We are currently seeking an ambitious engineering student to join our Component Test Engineering team. As an intern, you will have various opportunities to contribute to developing and validating vehicle components. You will work closely with other test engineers, product design release engineers, and manufacturing engineers to ensure that in-house and supplier-sourced components perform reliably to design specifications. Additionally, this test engineering intern will be closely involved in the design and development of internal testing infrastructure to serve the needs of the company. What You'll Do: Assist in testing automotive components for performance, durability, and reliability under various conditions. Set up, operate, and monitor test equipment to conduct tests on mechanical, electrical, and thermal components. Collect and analyze test data to evaluate the functionality and quality of components. Support the development of test procedures by preparing test plans and ensuring proper test execution. Document test results, observations, and any deviations from expected performance, providing detailed reports for senior engineers. Work closely with cross-functional teams (design, manufacturing, and quality) to communicate test outcomes and suggest improvements. Maintain test equipment and ensure proper calibration and functionality. Adhere to safety standards and protocols when operating in the test lab environment. Participate in team meetings to discuss test results and project updates. Assist in troubleshooting issues and/or root-cause analysis of test failures encountered during testing and provide potential solutions or workarounds. Required Skills: Enrolled in Bachelor’s degree program or greater in electrical, mechanical, mechatronics, or related engineering field Familiarity with developing schematics, testing with guidance Work authorized in the United States OR ability to obtain necessary work visa Desired Skills: Ability to create 3D CAD models and 2D drawings using CATIA 3DExperience Understanding of 2D drawing layout and GD (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger’s service providers, including providers of background checks, staffing services, and cloud services. Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.", "summaryDescription" : "Intern, Test Engineering at Harbinger Motors Inc.. Assist in testing automotive components. Set up test equipment", "postedDate" : "2026-06-14T19:22:05.241", "createdAt" : "2026-06-14T19:22:05.241", "lastUpdated" : "2026-06-16T01:57:11.483", "ingestTimestamp" : "2026-06-14T19:22:05.241", "mongoId" : "6a2cea3d74d8ee00a0a70612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 72800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Vehicle components", "Electric vehicle (EV)", "EV platform", "CATIA 3DExperience" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7f3274d8ee00a0954c46", "title" : "Systems Engineering Architect - AWS/IT Infrastructure", "company" : "North Point Technology", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Systems Engineering Architect in Alexandria, United States, adjusted for the technology industry and company size." }, "location" : "Alexandria, Virginia, United States", "locations" : [ "Alexandria", "Virginia", "United States", "Chantilly", "Virginia", "United States", "Gaithersburg", "Maryland", "United States", "Saint Louis", "Missouri", "United States" ], "certifications" : [ "DoD 8570-compliant certification", "Microsoft certification", "AWS certification" ], "timestamp" : "2026-06-15T09:28:25.741", "fingerprint" : "eac2129252268889e913a621ef1491cab067b13bf2b04fa3092e2d506c7624e3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/northpointtechnology/jobs/8588633002", "externalId" : "8588633002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Windows, Linux, DevOps, Cloud, Infrastructure automation, Failover orchestration, COTS, GOTS, EKS", "professionalSkills" : [ "Systems engineering", "Architecture", "Infrastructure management", "Requirements analysis", "Analysis of alternatives", "Prototyping", "Roadmap development", "Stakeholder management" ], "hardSkillsList" : [ "Disaster recovery", "Data retention" ], "hardSkills" : [ { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "Data retention", "level" : "intermediate" } ], "majorSkills" : "AWS Architecture, Resiliency, Recovery, Infrastructure Automation", "majorSkillsList" : [ "AWS Architecture", "Resiliency", "Recovery", "Infrastructure Automation" ], "coreResponsibilities" : "Design AWS Resiliency, Design Recovery capabilities, Implement cross-AZ recovery, Implement infrastructure automation, Implement automated failover orchestration, Stand up cloud environments, Maintain cloud environments, Deploy custom code, Deploy COTS, Deploy GOTS, Analyze system architecture, Analyze dependencies, Identify availability improvements, Identify resiliency improvements, Own system architecture roadmap, Own system architecture backlog, Decompose requirements, Execute analysis of alternatives, Execute prototypes, Maintain requirements, Maintain interface control documents, Communicate architectural decisions, Communicate design artifacts, Communicate strategies", "teamCollaboration" : "Technical leadership; Program management leadership; External stakeholders; Development teams; Executive management", "projectManagementSkills" : [ "Agile", "Backlog development", "Technical roadmap" ], "domainKnowledge" : "Geospatial focus; Cloud-native architecture; ITDR", "domainList" : [ "geospatial-focus", "cloud-native-architecture", "itdr" ], "domainSpecificKnowledge" : [ "Geospatial focus", "Cloud-native architecture", "ITDR" ], "communicationSkills" : "Briefing stakeholders", "documentationSkills" : "Architecture diagrams; Interface control documents", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Top Secret clearance, SCI eligibility, CI Polygraph eligibility", "qualificationsBasic" : "Active Top Secret clearance, Experience optimizing AWS costs, Hands-on Windows and Linux, Direct AWS core experience, Experience with DevOps COTS, System design and architecture, Solid agile understanding, Experience developing backlog, Experience with disaster recovery, Experience serving as systems engineer, Excellent communication skills, Experience briefing stakeholders", "qualificationsPreferred" : "TS/SCI with Polygraph, DoD 8570-compliant certification, Technical certifications, Experience with WMS, WFS, KML, AWS architecture best practices, Experience with AWS EKS, Writing architecture diagrams, Optimizing software deployments, Direct DevOps deployments to cloud", "workSiteFlexibility" : "Onsite", "rawDescription" : "North Point Technology is looking to hire a Systems Engineering Architect to support AWS Resiliency and Recovery. The qualified candidate must currently hold an active Top Secret security clearance (with the ability to obtain SCI and CI Polygraph), and will work hand-in-hand with technical and program management leadership, along with various external stakeholders, to design and implement AWS Resiliency and Recovery capabilities including cross-AZ recovery procedures, infrastructure automation, and automated failover orchestration. The ideal candidate brings experience across multiple Systems Engineering and architecture domains, with a focus on standing up and maintaining cloud environments and deploying custom code, COTS, and GOTS to those environments with a Geospatial focus. ***This job requires active TS clearance. Please apply only if you have an active TS clearance. *** Responsibilities: This position involves systems engineering activities that support building and delivering innovative cloud-based systems. The architect will analyze current system architecture and dependencies from a full-stack perspective, identify opportunities to improve availability and resiliency, and own the system architecture roadmap and backlog in alignment with the customer's technology strategy. Responsibilities include decomposing requirements into epics and features, executing analysis of alternatives (AoA) and prototypes, maintaining requirements and interface control documents, and communicating architectural decisions, design artifacts, and strategies to both development teams and executive management. Required Skills/Experience: Experience optimizing and managing AWS/cloud infrastructure costs, including storage, compute, and database Hands-on experience with both Windows and Linux Direct experience with AWS core architecture and services Experience with DevOps COTS capabilities and their implementation to the cloud Experience with system (hardware, software, and networking) design and architecture Solid understanding of agile software development methodologies Experience developing a backlog and technical roadmap Experience with disaster recovery (ITDR) and data retention Experience serving as a systems engineer or architect Excellent communication skills Experience briefing stakeholders at all levels Preferred Skills/Experience: Experience with technologies such as WMS, WFS, and KML Experience with AWS architecture best practices, resiliency capabilities, and services Experience with AWS EKS Experience writing, maintaining, and describing architecture diagrams Experience optimizing software deployments and reducing downtime, for example implementing a blue/green strategy Direct experience with DevOps deployments to cloud environments using GitLab Qualifications: Active Top Secret security clearance, with the ability to obtain SCI and CI Polygraph TS/SCI with Polygraph (preferred) DoD 8570-compliant certification (preferred) Technical certifications such as Microsoft and/or AWS (preferred) North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country’s most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer’s most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.", "summaryDescription" : "Systems Engineering Architect - AWS/IT Infrastructure at North Point Technology. Skills: AWS Architecture, Resiliency, Recovery, Infrastructure Automation. Design AWS Resiliency. Design Recovery capabilities", "postedDate" : "2026-06-14T08:22:04.303", "createdAt" : "2026-06-14T08:22:04.303", "lastUpdated" : "2026-06-15T09:28:25.741", "ingestTimestamp" : "2026-06-14T08:22:04.303", "mongoId" : "6a2c7f3274d8ee00a0954c46", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Disaster recovery", "Data retention", "AWS Architecture", "Resiliency", "Recovery", "Infrastructure Automation", "Systems engineering", "Architecture", "Infrastructure management", "Requirements analysis", "Analysis of alternatives", "Prototyping", "Roadmap development", "Stakeholder management", "Agile", "Backlog development", "Technical roadmap", "Geospatial focus", "Cloud-native architecture", "ITDR", "DoD 8570-compliant certification", "Microsoft certification", "AWS certification" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc497c4c40e2acd1a81be6", "title" : "Summer Intern Engineering Support - Information Technology Div.", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 20.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Hourly", "Nonexempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-15T09:18:30.590", "fingerprint" : "8d257bbc29864b0584c69926b85030e8e682c02cf1844c964376510ea7575b92", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44267", "externalId" : "44267", "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" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Hardware support, Software support", "hardSkillsList" : [ "Technical assistance" ], "hardSkills" : [ { "name" : "Technical assistance", "level" : "intermediate" } ], "majorSkills" : "Engineering Support, IT Support", "majorSkillsList" : [ "Engineering Support", "IT Support" ], "coreResponsibilities" : "Maintain hardware support, Optimize hardware support, Maintain software support, Optimize software support, Manage ticket queue, Provide support to end-users, Provide technical assistance", "teamCollaboration" : "Team environment", "domainKnowledge" : "Remote Sensing", "domainList" : [ "remote-sensing" ], "domainSpecificKnowledge" : [ "Remote Sensing" ], "problemSolvingSkills" : "Problem solver", "qualificationsBasic" : "User support experience, Team environment experience", "qualificationsPreferred" : "Remote Sensing hardware experience, Remote Sensing software experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a tech-savvy problem solver with a passion for providing exceptional user support? Join our ITD Engineering Systems team as an Engineering Services Support Intern and gain hands-on experience in a dynamic environment. You will contribute to maintaining and optimizing our Remote Sensing hardware and software support while enhancing your technical skills. This position requires working in a team environment to manage the day-to-day ticket queue. This position would work with our end-users to provide support and technical assistance for field data collection and processing. At TxDOT, you will join a workforce that is passionate about their careers. You have nothing to lose and lots to gain, such as invaluable work experience that can carry you into the future. Make the choice and join TxDOT for your brighter tomorrow today. 20.00 20.00", "summaryDescription" : "Summer Intern Engineering Support - Information Technology Div. at TxDOT. Skills: Engineering Support, IT Support. Maintain hardware support. Optimize hardware support", "createdAt" : "2026-06-14T02:58:01.799", "lastUpdated" : "2026-06-15T09:18:30.590", "ingestTimestamp" : "2026-06-14T02:58:01.799", "mongoId" : "69fc497c4c40e2acd1a81be6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Technical assistance", "Engineering Support", "IT Support", "Remote Sensing" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cb13c74d8ee00a09dc955", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T05:33:01.789", "fingerprint" : "47bea295a1d49abfb66fe14fc56e0b6eaea5cbdc6e3208d4d97873ca7ec28cb2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/c0e3b5de-26cf-42bc-8693-70bb6f4ca89c/application", "externalId" : "c0e3b5de-26cf-42bc-8693-70bb6f4ca89c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality", "Automation rates", "Voice models", "Workflow automation", "API design", "System architecture", "SQL" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" }, { "name" : "Answer quality", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" }, { "name" : "Voice models", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems, LLM systems", "majorSkillsList" : [ "AI Engineering", "Systems", "LLM systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience management consulting, 3+ years technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record taking complex ideas into products", "qualificationsPreferred" : "Experience with custom workflows", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-14T21:05:30.843", "lastUpdated" : "2026-06-16T05:33:01.789", "ingestTimestamp" : "2026-06-14T21:05:30.843", "mongoId" : "6a2cb13c74d8ee00a09dc955", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality", "Automation rates", "Voice models", "Workflow automation", "API design", "System architecture", "SQL", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Roadmap", "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a3363", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Support Intern in Gatesville, TX, adjusted for government industry and internship employment type." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Gatesville Ae/Coryell Co Maint (09CORYLLCO)
3502 E MAIN
Gatesville, 76528

Waco District Headquarters (09DISTHQ)
100 SOUTH LOOP DRIVE
Waco, 76704-2858

, Gatesville Ae/Coryell Co Maint" ], "timestamp" : "2026-06-15T22:55:55.493", "fingerprint" : "d4de43276c01b45a33e3860bb01925b634cc8daf20a01ee46b3326959b8e6efa", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43124", "externalId" : "43124", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gatesville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.4351645,-97.7439110" }, { "city" : "Waco", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.5491899,-97.1474628" } ], "locationText" : "Gatesville, Texas, United States; Waco, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in transportation engineering support work, Perform construction or maintenance inspection, Perform structural construction or maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Perform engineering data collection, Operate data collection equipment, Perform other entry-level engineering support work", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "qualificationsBasic" : "Must be 16 years old, Be a U. S. Citizen or be eligible to work in the U. S, Be currently enrolled as a student at a high school, technical school, college or university", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summer and Year-Round Engineering Support Internship! TxDOT's Waco District has a job opening(s) for a Year-Round or Summer Intern Engineering Support Tech at our Gatesville Area and Waco Area Offices! Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university Work Location(s): Gatesville Area Office: 3502 E. Main Gatesville, TX 76528 Waco Area Office: 7479 Bagby Ave. Waco, TX 76712 20.44 20.44", "summaryDescription" : "Intern Engineering Support at TxDOT. Assist in transportation engineering support work. Perform construction or maintenance inspection", "createdAt" : "2026-06-14T21:57:23.611", "lastUpdated" : "2026-06-15T22:55:55.493", "ingestTimestamp" : "2026-06-14T21:57:23.611", "mongoId" : "69dde4492beec4dd3d9a3363", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3367", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Intern Engineering Support role in Littlefield, United States, with adjustments for government industry and company size." }, "location" : "UST-Texas-Littlefield-Littlefield-Lamb Co Ae/Maint", "locations" : [ "UST-Texas-Littlefield-Littlefield-Lamb Co Ae/Maint", "Hourly", "Nonexempt,
Littlefield-Lamb Co Ae/Maint (05LAMBCO)
1600 W DELANO
Littlefield, 79339

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Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lubbock District's Littlefield Area Office is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the Summer 2026 . Positions may also be evaluated for continuation on a year-round basis , offering a valuable pathway to grow your career with TxDOT. 15.54 22.77", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain hands-on experience in transportation engineering. Apply skills in real-world settings", "createdAt" : "2026-06-14T21:52:17.929", "lastUpdated" : "2026-06-15T11:17:55.616", "ingestTimestamp" : "2026-06-14T21:52:17.929", "mongoId" : "69dde4492beec4dd3d9a3367", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2af03374d8ee00a0733cde", "title" : "Engineering Intern", "company" : "Teledyne Microwave UK", "industry" : "Aerospace and Defense", "salary" : { "min" : 20000.0, "max" : 25000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Intern in Shipley, United Kingdom, adjusted for entry-level seniority and the technology industry." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-14T19:02:50.915", "fingerprint" : "953a07f77e8a3c55c1d16500e18755a338d5de0c08980ec8169cc87a26531a4a", "source" : "workday", "language" : "en", "applyUrl" : "https://flir.wd1.myworkdayjobs.com/flircareers/job/UK---Shipley/Engineering-Intern_REQ31461", "externalId" : "REQ31461", "industryFunction" : { }, "locationPoint" : "55.3781,-3.436", "structuredLocations" : [ { "city" : "Shipley", "state" : "West Yorkshire", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.8321814,-1.7779777" } ], "locationText" : "Shipley, West Yorkshire, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "RF Engineering", "professionalSkills" : [ "Problem solving" ], "hardSkillsList" : [ "Technical theory", "Practical methods", "Underpinning knowledge" ], "hardSkills" : [ { "name" : "Technical theory", "level" : "intermediate" }, { "name" : "Practical methods", "level" : "intermediate" }, { "name" : "Underpinning knowledge", "level" : "intermediate" } ], "majorSkills" : "RF technology", "majorSkillsList" : [ "RF technology" ], "coreResponsibilities" : "Design electronic circuits, Design RF circuits, Document designs, Present designs, Transfer products to Production, Prepare production documentation, Prepare technical reports, Maintain product documentation, Maintain design logbooks, Prepare for design reviews, Contribute to design reviews, Contribute to project reviews, Liaise with other departments, Compile progress reports, Compile technical reports, Contribute to Daily Stand-Up Meetings, Communicate verbally, Communicate using presentations, Foster customer relations, Maintain customer relations, Foster supplier relations, Maintain supplier relations, Provide production support, Fault-finding, Train Test Technicians, Train Senior Technicians, Plan own activities, Implement own activities, Coordinate own activities, Meet project timescales, Assist with customer returns, Identify continuous improvements, Improve product design, Improve processes, Improve yield, Improve performance margins", "teamCollaboration" : "Multi-functional team", "projectManagementSkills" : [ "Project timescales" ], "domainKnowledge" : "RF & microwave application", "domainList" : [ "rf-microwave-application" ], "domainSpecificKnowledge" : [ "RF & microwave application" ], "communicationSkills" : "Verbal communication; Presentations", "documentationSkills" : "Production documentation; Technical reports; Design logbooks", "innovationCreativity" : "Continuous improvements", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "UK Security Clearance", "qualificationsBasic" : "Eligible to gain UK Security Clearance", "qualificationsPreferred" : "Modules on RF Engineering", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Be visionary** Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. **Job Description** We currently have a great opportunity for an Engineering Intern to join our Teledyne Microwave UK business in Shipley, West Yorkshire. We're looking for this role to start in Summer 2026 for a duration of up to 1-year. **About us:** Teledyne Microwave UK (a business unit of Teledyne Aerospace & Defence Electronics UK) provide enabling technologies for industrial growth markets. We have evolved from a company that was primarily focused on aerospace and defence, to one that serves multiple markets that require advanced technology and high reliability. Here at Teledyne Microwave UK, our mission is to enable our customers to make the world safer, more secure and better connected. We are a world leader in the design, manufacture and support of radio frequency (RF) technology. With unrivalled RF & microwave application knowledge we have experience of creating innovative solutions for the most challenging applications. **What you 'll be involved in:** Teledyne Microwave UK are looking to hire an Intern who has an affinity and enthusiasm for Science, Engineering and problem solving. These skills will enable you to participate in the design, development and manufacturing support for custom products. You will be applying technical theory, practical methods and underpinning knowledge. * Design of electronic and RF circuits as part of a multi-functional team. * Documentation and presentation of designs. * Transfer of products from Engineering to Production. * Production documentation and technical reports. * Maintain a high standard of product documentation and design logbooks, including preparation for design reviews. * Contribute to design and project reviews and liase with other departments. * Compile regular progress reports and technical reports, both verbal and written. * Contribute to regular Daily Stand-Up Meetings. * Communicate verbally and using presentations to peers, managers and junior staff. * Foster and maintain good customer and supplier relations. * Provide production support and fault-finding. * Training of Test Technicians and Senior Technicians/Technicians. * Plan, implement and coordinate own activities against objectives set by management. * Meet project timescales. * Assist with customer returns. * Any other reasonable duties as directed by a member of management. * Identify continuous improvements in both product design, processes, yield and performance margins. **What we 're looking for in you:** * Working towards a Degree/MSc in Engineering Disciplines: Electrical & Electronic Engineering / Communication Systems Engineering / RF Engineering / Systems Engineering. * Understanding of Electronic Design/Manufacturing processes. * Covered modules on RF Engineering - not essential. **Due to the nature of the business, you must be eligible to gain UK Security Clearance.** **We offer a range of benefits that include:** * Salary sacrifice-led pension plan that matches employee contributions up to 7%. * Employee Stock Purchase Plan. * Free life assurance cover at the value of four times basic annual salary. * Salary sacrifice Electric & Hybrid Vehicle car scheme * 25 days holiday per annum, plus bank holidays. * Holiday purchase scheme which enables employees to purchase an additional week’s worth of annual leave each year. * Company funded medical cash plan which allows eligible members to offset the cost of routine medical treatments. * Internal reward and recognition scheme linked to internal benefits platform. * Employee Assistance Programme. * Comprehensive wellbeing programme that supports employees with their physical, mental and financial health, as well as their cultural/environmental wellbeing. * Competitive employee discounts platform that provides employees with discounts with leading brands/retailers. * Cycle to Work scheme. * Enhanced family-friendly benefits and policies. * Company sick pay. * Equality, Diversity & Inclusion Committee that supports and champions employee diversity. * Local discounts & offers (e.g. gym). At Teledyne, we believe that Equality, Diversity and Inclusion mean Opportunity – the opportunity to cherish and celebrate the value of diversity, to bring our full and authentic selves to work and to feel fully involved and respected – and we are committed to this journey. Occupational health and safety and environmental sustainability are also an integral part of our business strategy, and we believe in implementing environmental, health and safety improvements to continually enhance the working environment for staff, visitors and contractors. Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions. . ", "summaryDescription" : "Engineering Intern at Teledyne Microwave UK. Skills: RF technology. Design electronic circuits. Design RF circuits", "postedDate" : "2026-06-12T04:55:45.146", "createdAt" : "2026-06-12T04:55:45.129", "lastUpdated" : "2026-06-14T19:02:50.915", "ingestTimestamp" : "2026-06-12T04:55:45.129", "mongoId" : "6a2af03374d8ee00a0733cde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://flir.wd1.myworkdayjobs.com/flircareers/job/UK---Shipley/Engineering-Intern_REQ31461", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Technical theory", "Practical methods", "Underpinning knowledge", "RF technology", "Problem solving", "Project timescales", "RF & microwave application" ], "skillCount" : 7, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace and Defense" }, { "id" : "69dde4492beec4dd3d9a3351", "title" : "Engineering Support Intern", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 15.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Plainview-Plainview-Hale Co Ae/Maint", "locations" : [ "UST-Texas-Plainview-Plainview-Hale Co Ae/Maint", "Hourly", "Nonexempt,
Plainview-Hale Co Ae/Maint (05HALECO)
3900 S BUS LOOP 27
Plainview, 79072

, Plainview-Hale Co Ae/Maint" ], "timestamp" : "2026-06-16T01:36:43.555", "fingerprint" : "1340bafd83daa6930006bccd42c6f848133e55e5a43e16d50cfd101638cfccf0", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43222", "externalId" : "43222", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plainview", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1847936,-101.7068410" } ], "locationText" : "Plainview, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience in transportation engineering, Apply skills in real-world settings", "teamCollaboration" : "Working alongside licensed professionals", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "continuousLearning" : "Pathway to grow career", "qualificationsBasic" : "Engineering or related science programs enrollment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lubbock District's Plainview Office is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the Summer 2026 . Positions may also be evaluated for continuation on a year-round basis , offering a valuable pathway to grow your career with TxDOT. 15.54 19.00", "summaryDescription" : "Engineering Support Intern at TxDOT. Gain hands-on experience in transportation engineering. Apply skills in real-world settings", "createdAt" : "2026-06-14T20:49:35.588", "lastUpdated" : "2026-06-16T01:36:43.555", "ingestTimestamp" : "2026-06-14T20:49:35.588", "mongoId" : "69dde4492beec4dd3d9a3351", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3287", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 20.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Belton-Belton Area Office", "locations" : [ "UST-Texas-Belton-Belton Area Office", "Hourly", "Nonexempt,
Belton Area Office (09BELLCO)
410 W LOOP 121
Belton, 76513

, Belton Area Office" ], "timestamp" : "2026-06-16T01:18:18.989", "fingerprint" : "583804c535a24fa7d3304957ff705d79fbb48c404cb3fb3b2be0b974678fb95d", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43924", "externalId" : "43924", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belton", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.0560132,-97.4644530" } ], "locationText" : "Belton, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in transportation engineering support, Perform construction inspection, Perform maintenance inspection, Perform structural construction, Perform structural maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Perform engineering data collection, Operate data collection equipment, Perform entry-level engineering support work", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "qualificationsBasic" : "16 years old, U. S. Citizen or eligible to work, Currently enrolled student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's Waco District has a job opening for a Year-Round Intern Engineering Support Tech at our Belton Area Office! Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: • Must be 16 years old • Be a U.S. Citizen or be eligible to work in the U.S. • Be currently enrolled as a student at a high school, technical school, college or university. Work Location(s): • Belton Area Office: 410 W. Loop 121, Belton, TX 76513 Salary Plan/Grade • Intern Engineering Support: A11 ($20.44/Hourly) 20.44 20.44", "summaryDescription" : "Intern Engineering Support at TxDOT. Assist in transportation engineering support. Perform construction inspection", "createdAt" : "2026-06-14T20:42:35.298", "lastUpdated" : "2026-06-16T01:18:18.989", "ingestTimestamp" : "2026-06-14T20:42:35.298", "mongoId" : "69dde4492beec4dd3d9a3287", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3361", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry level Intern Engineering Support role in Lubbock, Texas, adjusted for the government industry." }, "location" : "UST-Texas-Lubbock-Lubbock District Headquarters", "locations" : [ "UST-Texas-Lubbock-Lubbock District Headquarters", "Hourly", "Nonexempt,
Lubbock District Headquarters (05DISTHQ)
135 SLATON ROAD
Lubbock, 79404

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El Paso - Alpine (24ALPINE)
2400 N HWY 118
Alpine, 79830

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Lubbock District Headquarters (05DISTHQ)
135 SLATON ROAD
Lubbock, 79404

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Atlanta District Headquarters (19DISTHQ)
701 EAST MAIN ST
Atlanta, 75551

Texarkana Area Office/Mnt Sect (19BOWIECO)
520 SOWELL LANE
Texarkana, 75501

Marshall Area Office/Maint Sec (19HARRISCO)
300 EAST LOOP 390 N
Marshall, 75670

Mt Pleasant Area Office/Mnt Se (19TITUSCO)
2210 FERGUSON ROAD
Mount Pleasant, 754560891

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Junction Area Office (07JUNCTAO)
2124 N MAIN
Junction, 76849

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Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

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Working in the Maintenance Division at TxDOT may be the job for you! We are seeking self-motivated, curious, and structured candidates. Candidates will help work on much needed projects that require thorough analysis and engineering insight that a fresh prospective can provide. Your work will directly improve statewide decision making and operations. You will work at the new TxDOT Stassney campus, located at 6230 E Stassney Ln, Austin, TX 78744, in a modern work environment. The campus has many amenities including an on-site gym, food services, and outdoor trails. As the headquarters to all the divisions, you will have many opportunities to learn about all the inner workings at TxDOT. This intern position will primarily work the months of May 2026 - August 2026 with the potential to work year-round. 15.54 22.76", "summaryDescription" : "Intern Engineering Support at TxDOT. Help work on projects", "createdAt" : "2026-06-14T19:40:29.513", "lastUpdated" : "2026-06-16T06:15:15.398", "ingestTimestamp" : "2026-06-14T19:40:29.513", "mongoId" : "69dde4492beec4dd3d9a3350", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Curious", "Structured", "Road maintenance" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca12f74d8ee00a09a4adf", "title" : "Software Engineering Intern", "company" : "Nox Metals", "industry" : "Engineering", "salary" : { "min" : 4000.0, "max" : 6000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US/Canada", "locations" : [ "US/Canada" ], "timestamp" : "2026-06-16T03:02:34.394", "fingerprint" : "3c0dd17ef61b42c58ba5ea3f5939ee8485237ccf9b01c7762a62b511219db7b1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nox-metals/6edc2dff-7c4b-44b8-abba-32d5953b8c5f/application", "externalId" : "6edc2dff-7c4b-44b8-abba-32d5953b8c5f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Detroit", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3315509,-83.0466403" }, { "city" : "Windsor", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2858536,-82.9780695" }, { "workMode" : "remote" } ], "locationText" : "Detroit, Michigan, United States; Windsor, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, AWS", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Data structures", "Algorithms", "Web systems", "Distributed systems" ], "softSkillsList" : [ "High agency", "Low ego", "Customer obsessed" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Web systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High agency" }, { "name" : "Low ego" }, { "name" : "Customer obsessed" } ], "majorSkills" : "Software development, Factory automation", "majorSkillsList" : [ "Software development", "Factory automation" ], "coreResponsibilities" : "Design features, Build features, Test features, Ship features, Write code, Deploy code, Control metal cutting, Track metal delivery, Debug production systems, Profile production systems, Harden production systems, Take big problems, Own problems end to end", "teamCollaboration" : "Sit next to engineers; Sit next to operators", "projectManagementSkills" : [ "Own projects" ], "domainKnowledge" : "Supply chain; Manufacturing automation", "domainList" : [ "supply-chain", "manufacturing-automation" ], "domainSpecificKnowledge" : [ "Supply chain", "Manufacturing automation" ], "toolProficiency" : [ "Git", "AI tools" ], "innovationCreativity" : "Hunt for faster ways", "problemSolvingSkills" : "Debug production systems; Profile production systems; Harden production systems", "specialRequirements" : "Work outside normal hours", "outcomesObjectives" : "Ship code to production; Control how metal gets cut", "qualificationsBasic" : "Pursuing degree in CS or related, Knowledge of data structures, Knowledge of algorithms, Proficient in one language, Comfortable with Git, Understand web systems, Understand distributed systems, Fast, organized, high agency, Cracked with AI tools, Low ego, Customer obsessed, Willing to work outside normal hours", "qualificationsPreferred" : "Experience with Python, Experience with TypeScript, Experience with React, Experience with Next.js, Experience with Node.js, Experience with FastAPI, Experience with PostgreSQL, Experience with Docker, Experience with AWS", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. We use software and automation to supply metal to American factories faster than the industry thought possible. Nox Metals went thru YC Summer 2025. Software Engineer Intern This is a real software engineering internship. You will own meaningful projects from design to deployment, and the code you write will run on the factory floor. No coffee runs, no shadowing. Your work ships to production and controls how real metal gets cut on real machines. You will: - Design, build, test, and ship features across the systems that run our factory, from the floor command center to the nesting engine to the customer portal - Write code that deploys to the floor and controls how metal gets cut, tracked, and delivered - Debug, profile, and harden production systems that cannot go down in the middle of a shift - Sit next to the engineers and operators running the machines and watch your software hit the real world the same day you ship it - Take big problems off senior engineers' plates and own them end to end You should be: - Pursuing a degree in computer science, software engineering, or a related field, or able to prove you can build without one - Strong in data structures, algorithms, and at least one language (Python, TypeScript, Go, C++, whatever you reach for) - Comfortable with Git and the basics of how web and distributed systems work - Fast, organized, and high agency, able to take a big item and run it down alone while asking for help when you need it - Cracked with AI tools and always hunting for a faster way to do the work - Low ego, customer obsessed, and never the person who says \"that's not my job\" - Willing to work outside normal hours when the floor needs it Our stack: Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, and AWS. You will not know all of it. We will teach you what you do not. This role is full time, in person in Detroit. We are open to in person Windsor or Remote.", "summaryDescription" : "Software Engineering Intern at Nox Metals. Skills: Software development, Factory automation. Design features. 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We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph. D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation models or efficient machine learning Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) Understanding of model optimization techniques and hardware acceleration approaches Contributions to open-source machine learning projects Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th and this role will be located in our San Francisco or Amsterdam office. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy", "summaryDescription" : "Research Intern, Model Shaping (Fall 2026) at Together AI", "postedDate" : "2026-06-15T23:17:19.842", "createdAt" : "2026-06-15T23:17:19.842", "lastUpdated" : "2026-06-16T07:26:50.070", "ingestTimestamp" : "2026-06-15T23:17:19.842", "mongoId" : "6a3056b8f292fd229cf2d856", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120640, "salaryAnnualMax" : 131040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05074d8ee00a09a1de5", "title" : "Founder's Intern - Summer 2026 Intake", "company" : "MyEdSpace", "industry" : "Founders Team", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in London, adjusted for the education industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T02:08:58.620", "fingerprint" : "a860a3c2bf78afbe2c240f8e5c61ac39741d671070fdc27aa2498e52ff036677", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/myedspacecareers/fd9ab70c-29cb-46fd-8e69-33069c04c6a1/application", "externalId" : "fd9ab70c-29cb-46fd-8e69-33069c04c6a1", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Financial modeling", "Competitor analysis" ], "coreResponsibilities" : "Work across projects, Define company objectives, Develop company objectives, Implement company objectives, Build company operations, Implement key processes, Implement decision-making frameworks, Automate workflows, Sell to customers, Answer customer questions, Generate viral content, Record viral content, Edit viral content, Perform financial modelling, Perform compliance tasks, Perform competitor analysis", "teamCollaboration" : "Founder's Team; Marketing teams; Content teams", "domainKnowledge" : "Education technology", "domainList" : [ "education-technology" ], "domainSpecificKnowledge" : [ "Education technology" ], "communicationSkills" : "Verbal skills; Written skills", "qualificationsBasic" : "2:1 or above degree, Current university student, Recent graduate", "qualificationsPreferred" : "Permanent position potential", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "MyEdSpace is an education technology platform that connects the best teachers on the planet with the students who need them the most - wherever they are, whatever their means. Backed by $15m in Series A funding from some of the leading investors in the space, we're ready to scale - and we want you to help us build and scale MyEdSpace as part of a collaborative and ambitious team. We're on a mission to make a world-class education accessible to all. We believe that every child deserves access to quality education, regardless of geography or socioeconomic background, to achieve their dreams and build a brighter future. If you’re motivated by solving meaningful problems and creating real impact through your work on a societal level and make a real impact on the world - we’d love to hear from you! ABOUT THE ROLE Note: This is for our Summer intake (June/July start) We are seeking a driven and enthusiastic Intern to join our team. In this role, you will be working directly with our Co-Founders and the rest of the Founder's Team. In true start-up fashion, this is an incredibly varied role where you will be involved in projects across all functions of the company – expect to work across marketing, sales, customer success, strategy, HR, business development and more. All internships at MyEdSpace are paid positions. This is a 3-month internship (full-time) with potential for a permanent position with us when you graduate If you're a current university student, or a graduate, who is hardworking, driven, and ready to take on new challenges in a fast-paced start-up environment, we want to hear from you! RESPONSIBILITIES You will be expected to: - Work closely with the Founder's Team; working across projects that touch all functions of the business to help define, develop and implement company objectives - Assist in building the operations of the company and implement key processes, decision-making frameworks, and automating workflows in order to prepare to scale-up - Sell to potential customers, learn from them and answer their questions - Work with the marketing & content teams to generate, record and edit viral content - Work on ad-hoc projects as requested by the founders, i.e. financial modelling, compliance tasks, competitor analysis, etc. PROFILE The ideal candidate for this role: - You are current university student at, or a recent graduate with a 2:1 or above (or equivalent) from, a top University - You have excellent communication (both verbal and written) skills - You are adaptable and hardworking - You get things done today, not tomorrow - You are comfortable with high levels of end-to-end responsibility - You are honest, transparent and open to feedback in order to improve. We are extremely honest with everyone in the team, including upward feedback - You are incredibly organized, with a demonstrated ability to balance multiple complex projects and responsibilities simultaneously KEY DETAILS - Title: Founders Intern - Reporting to: Chief of Staff - Location: Onsite at our office in Chancery Lane - Start date: Summer 2026 (June/July) - Duration: 3 months (with potential for permanent positions when you graduate) ✨ Our values PUT INTEGRITY FIRST Honesty matters. Tell the truth, and be straight-up. Be transparent and do the right thing. This builds respect and reliability for our students, families and team members. KNOW YOUR COORDINATES Understand where you are and where you want to get to. Know your strengths and acknowledge your gaps. Think from first principles. Question things, and never pretend to know what you don't. RAISE THE BAR Own it and get it done. Do better. Iterate quickly and seek feedback. Deliver real value. Be excellent and lift others up. Share learnings and help your teammates improve. LOVE TO BE WRONG Push boundaries. Be outside your comfort zone. Naturally you'll get some things wrong and that's okay. Embrace feedback. Learn from it and get closer to excellence. WIN TOGETHER To achieve our mission, we have to work together. We all have a role to play, so help each other get there. We’re stronger as a team so inspire, support and respect each other. \uD83D\uDE4B Why you’ll love working here We’re a team on a mission to transform education for the better. Joining MES means you’ll be part of something ambitious, fast-moving, and full of purpose. Here’s what you can expect: - The chance to make a real impact: your work directly shapes the future of education. - A fast-paced and high-growth environment where ideas move quickly and careers accelerate. - A collaborative, supportive culture: we’re head quartered in the UK, but we’re a global team with colleagues in 15+ countries, bringing a rich mix of perspectives and energy. We are committed to building a diverse team and strongly encourage applications from candidates of all backgrounds. We believe diverse perspectives make us stronger and help us build a better product for students around the world.", "summaryDescription" : "Founder's Intern - Summer 2026 Intake at MyEdSpace. Work across projects. Define company objectives", "createdAt" : "2026-06-14T20:12:13.318", "lastUpdated" : "2026-06-16T02:08:58.620", "ingestTimestamp" : "2026-06-14T20:12:13.318", "mongoId" : "6a2ca05074d8ee00a09a1de5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Financial modeling", "Competitor analysis", "Education technology" ], "skillCount" : 3, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ca53674d8ee00a09b53bd", "title" : "Systems Engineer, Digital Twin", "company" : "GovTech", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Engineer in Singapore, adjusted for the Government industry and a mid-sized company." }, "location" : "GDP Government Digital Products", "locations" : [ "GDP Government Digital Products" ], "timestamp" : "2026-06-16T00:47:34.074", "fingerprint" : "17fc1fee01cf81366b053143bc8be39efe7add4ce65d6232b99b161a2752b7c8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4004145201?gh_jid=4004145201", "externalId" : "4004145201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : false, "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] We are looking for a talented Systems Engineer (Digital Twin) to drive the development and integration of a next-generation digital twin platform's interactive 3D environment. Serving as the connective layer between simulation and physics-AI engineers, you will collaborate closely to build a real-time operational environment. Your primary responsibility will be to ingest real-time geospatial, sensor, and AI-predicted data, and seamlessly integrate them into an intuitive, high-performance 3D environment that drives mission-critical operational planning. Develop immersive, high-performance user interfaces using the Unity 3D engine to optimise real-time user experience. Architect and maintain bi-directional data pipelines within Unity to ingest live streaming telemetry. Integrate data layers, 3D tiles, and terrain maps directly into Unity to ensure all assets are accurately georeferenced. Enhance user decision-making by creating responsive data visualisations and custom UI dashboards tailored for operational planning. Optimise real-time rendering performance through systems such as level-of-detail management to ensure seamless 3D experience. [What we are looking for] Degree in Computer Science, Computer Engineering, Game Development, or related fields. At least 3 years of relevant experience in real-time 3D development and system integration. Demonstrated experience in Unity 3D development with C# programming skills and real-time rendering optimisation. Hands-on experience in managing and displaying complex 3D geospatial datasets. Experience with data streaming protocols such as AMQP, MQTT or WebSocket for live sensor integration. Good to have Experience creating customised real-time water, wave, or volumetric weather shaders in Unity. What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Learn more about life inside GovTech at go.gov.sg/GovTechCareers. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. Primary Responsibilities The Civil Intern/Co-Op will work as a member of the civil engineering design team on projects serving clients in the New England area. The position includes preparation of plans, detail drawings, and quantity estimation for projects of various sizes and complexity. The Civil Department engages in several areas of design including highway & local roadway design, green infrastructure, stormwater management, drainage & grading, and multi-modal transportation designs for clients throughout New England including MassDOT, MBTA, NHDOT, RIDOT, and the City of Boston. The candidate will need to be a self-motivated individual who maintains a high level of professionalism while performing engineering assignments. Preferred Qualifications · 2+ years completed toward degree Proficiency with AutoCAD Civil 3D and/or MicroStation Local candidates preferred We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Boston: %2424- %2429", "summaryDescription" : "Civil Engineering Intern at HDR. Skills: Civil engineering, Design, Transportation. Prepare plans. 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Livingston Area Engr Office (11POLKCO)
3161 US HIGHWAY 59 NORTH
Livingston, 77351

, Livingston Area Engr Office" ], "timestamp" : "2026-06-15T06:49:47.613", "fingerprint" : "dd7761e7b4482130b01831953a0b1f2942e62e1b75f9d4fcdb41b7f878a4472b", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44023", "externalId" : "44023", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livingston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.7110290,-94.9329898" } ], "locationText" : "Livingston, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience, Apply skills in real-world settings", "teamCollaboration" : "Working with professionals", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "continuousLearning" : "Pathway to grow career", "qualificationsBasic" : "Engineering student enrollment, Related science program enrollment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lufkin District's District Maintenance office, located at the Lufkin District HQ are now accepting applications for Engineering Support Interns. This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the summer. Positions may also be evaluated for continuation on a year-round basis, offering a valuable pathway to grow your career with TxDOT. 18.00 22.76", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain hands-on experience. Apply skills in real-world settings", "createdAt" : "2026-06-14T08:34:51.497", "lastUpdated" : "2026-06-15T06:49:47.613", "ingestTimestamp" : "2026-06-14T08:34:51.497", "mongoId" : "69dde4492beec4dd3d9a3255", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "696082680937eae70e9c8ad8", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Intern Engineering Support role in Bengaluru, India, adjusted for entry-level seniority and the government industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Hou District Headquartrs (12DISTHQ-1)
7600 WASHINGTON AVENUE
Houston, 77007

North Harris County Ae/Maint (12NHARRSCO)
16803 EASTEX FREEWAY
Humble, 77347

Southeast Harris County Ae (12SHARRSCO)
702 FM 1959
Houston, 77034

Fort Bend County Ae/Maint (12FTBENDCO)
4235 SH 36
Rosenberg, 77471

Hou Dist Office (6810) Complex (12DISTHQ-2)
6810 OLD KATY ROAD
Houston, 77024

West Harris Co Ae/Maint (12WHARRSCO)
14838 NORTHWEST FREEWAY
Houston, 77040

Galveston County Ae/Maint (12GALVSTCO)
5407 GULF FREEWAY
La Marque, 77568

Brazoria Areaengr/S.Braz Maint (12BRAZRCO)
18671 FM 523
Angleton, 77515

Montgomery County Ae/Maint (12MONTGYCO)
901 N FM 3083
Conroe, 77303

Houston Transtar (12DISTHQ-3)
6922 OLD KATY ROAD
Houston, 77024

, Hou District Headquartrs" ], "timestamp" : "2026-06-15T06:51:05.212", "fingerprint" : "70009ebd393ad6a02104c21c2ba2d52ae636776edced63259e1d0300e4b8945b", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42533", "externalId" : "42533", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Materials testing", "Asset management", "Systems design" ], "hardSkillsList" : [ "Roadway construction", "Pavement construction", "Drainage construction", "Bridge construction", "Traffic systems design" ], "hardSkills" : [ { "name" : "Roadway construction", "level" : "intermediate" }, { "name" : "Pavement construction", "level" : "intermediate" }, { "name" : "Drainage construction", "level" : "intermediate" }, { "name" : "Bridge construction", "level" : "intermediate" }, { "name" : "Traffic systems design", "level" : "intermediate" } ], "majorSkills" : "Roadway construction, Pavement construction, Drainage construction, Bridge construction", "majorSkillsList" : [ "Roadway construction", "Pavement construction", "Drainage construction", "Bridge construction" ], "coreResponsibilities" : "Learn roadway construction, Learn pavement construction, Learn drainage construction, Learn bridge construction, Learn materials testing, Learn traffic systems design, Learn asset management methodologies", "domainKnowledge" : "Roadway engineering; Pavement engineering; Drainage engineering; Bridge engineering; Traffic systems", "domainList" : [ "roadway-engineering", "pavement-engineering", "drainage-engineering", "bridge-engineering", "traffic-systems" ], "domainSpecificKnowledge" : [ "Roadway engineering", "Pavement engineering", "Drainage engineering", "Bridge engineering", "Traffic systems" ], "continuousLearning" : "Gain work experience", "qualificationsBasic" : "Undergraduate engineering degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s Houston District is excited to announce year-round, part-time engineering internships that offer the opportunity to gain valuable work experience while pursuing an undergraduate engineering degree. These internships provide the opportunity to learn roadway, pavement, drainage and bridge designs; construction and materials testing means and methods; traffic systems design and operations; and maintenance asset management methodologies. These positions are for these locations: -Houston Dist. HQ : 7600 Washington Ave., Houston, TX 77007 -W. Harris: 14838 Northwest Freeway, Houston, TX 77040 -S. Harris : 702 FM 1959, Houston, TC 77037 -N. North Harris: 16803 Eastex Freeway, Humble, TX 77347 -Brazoria: 18671 FM 523, Angleton, TX 77515 -Fort Bend: 4235 SH 36, Rosenberg, TX 77471 -Galveston: 5407 Gulf Freeway, La Marque, TX 77568 -Montgomery: 901 N FM 3038, Conroe, TX 77303 -TranStar: 6922 Old Katy Road, Houston, TX 77024 -Traffic Systems Const.: 6810 Old Katy Road, Houston, TX 77024 21.88 21.88", "summaryDescription" : "Intern Engineering Support at TxDOT. Skills: Roadway construction, Pavement construction, Drainage construction, Bridge construction. Learn roadway construction. Learn pavement construction", "createdAt" : "2026-06-14T08:16:50.971", "lastUpdated" : "2026-06-15T06:51:05.212", "ingestTimestamp" : "2026-06-14T08:16:50.971", "mongoId" : "696082680937eae70e9c8ad8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Roadway construction", "Pavement construction", "Drainage construction", "Bridge construction", "Traffic systems design", "Materials testing", "Asset management", "Systems design", "Roadway engineering", "Pavement engineering", "Drainage engineering", "Bridge engineering", "Traffic systems" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb01a74d8ee00a09d8d0b", "title" : "Software Engineering Intern", "company" : "Beacon Software", "industry" : "Engineering", "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "certifications" : [ ], "timestamp" : "2026-06-15T11:26:14.416", "fingerprint" : "ff34bb03afa79a41d7e1fb0d412f7284f0fd3feda4865532bab6833add4338ed", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/beaconsoftware/2452d342-a069-4eda-adbe-9df296808ca1/application", "externalId" : "2452d342-a069-4eda-adbe-9df296808ca1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "TypeScript, Python, Go, Postgres", "professionalSkills" : [ "Curious about data systems, APIs, and the practical mechanics of LLM-driven applications." ], "hardSkillsList" : [ "TypeScript", "Python", "Go" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "TypeScript", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "Go", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "TypeScript, Python, Go, LLM-powered internal tools, System design", "majorSkillsList" : [ "TypeScript, Python, Go, LLM-powered internal tools, System design" ], "coreResponsibilities" : "Ship production code into Beacon's internal platform. Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "teamCollaboration" : "Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. Pair with the operations team to understand the problem before writing the code.", "toolProficiency" : [ "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "communicationSkills" : "Written communicator", "documentationSkills" : "Design docs; PR descriptions", "continuousLearning" : "We have beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.", "problemSolvingSkills" : "System design", "specialRequirements" : "Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions.", "outcomesObjectives" : "We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.", "qualificationsBasic" : "Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. Comfortable working in someone else's codebase.", "qualificationsPreferred" : "Prior co-op or internship experience shipping production software. Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. Side projects or open-source contributions that demonstrate independent technical curiosity.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT BEACON SOFTWARE Beacon https://beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude. We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers. ABOUT THE ROLE We are hiring a Software Engineering Intern to join the Beacon HQ engineering team for the Fall 2026 co-op term. You will work directly with our senior engineers on the platforms that power how we operate the portfolio: data ingestion across 25+ portcos, internal tools used by our operating team every day, and AI-powered workflows that we are embedding into both Beacon HQ and the portfolio products themselves. This is not a fetch-coffee internship. We are a small team and interns ship real code into production. Past interns have owned services end-to-end, written features that the entire operating team now depends on, and built tooling that meaningfully changed how a specific portco runs. The bar is high. The autonomy is real. WHAT YOU'LL DO - Ship production code into Beacon's internal platform. You will own a meaningful piece of work end-to-end, from design through deployment. - Build integrations between portco source systems (QuickBooks, HubSpot, Salesforce, Stripe, Postgres, and similar) and our central data platform. - Prototype and ship LLM-powered internal tools that our operating team uses to manage the portfolio. - Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. - Pair with the operations team to understand the problem before writing the code. Engineering at Beacon is operator-facing, and you will learn how to ship software that someone actually uses. WHO YOU ARE - Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. - Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. You do not need to know all three, but you should be able to pick up a new language quickly. - Comfortable working in someone else's codebase. You can read code as well as you write it. - Curious about data systems, APIs, and the practical mechanics of LLM-driven applications. Prior exposure is a plus but not required. - Strong written communicator. Beacon runs on writing, and interns are expected to write design docs, PR descriptions, and updates that hold up to senior review. - Operator instincts. You take the time to understand the problem before reaching for a solution. BONUS POINTS - Prior co-op or internship experience shipping production software. - Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). - Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. - Side projects or open-source contributions that demonstrate independent technical curiosity. WHAT WE OFFER - Direct mentorship from senior engineers and the Beacon CTO. - Real ownership. You will ship code that the operating team depends on, not throwaway prototypes. - Exposure to a unique operational problem: building software that scales across a portfolio of very different businesses. - Competitive co-op compensation. - Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions. Our Values at Beacon Software - Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. - Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. - Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. - Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.", "summaryDescription" : "Software Engineering Intern at Beacon Software. Skills: TypeScript, Python, Go, LLM-powered internal tools, System design. Ship production code into Beacon's internal platform. Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "createdAt" : "2026-06-14T21:41:58.331", "lastUpdated" : "2026-06-15T11:26:14.416", "ingestTimestamp" : "2026-06-14T21:41:58.331", "mongoId" : "6a2cb01a74d8ee00a09d8d0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "TypeScript", "Python", "Go", "Curious", "TypeScript, Python, Go, LLM-powered internal tools, System design", "Curious about data systems, APIs, and the practical mechanics of LLM-driven applications.", "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae71c70f0b99d589b594f", "title" : "Intern Engineering Support", "company" : "TxDOT", "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Laredo District Headquarters (22DISTHQ)
1817 BOB BULLOCK LOOP
Laredo, 78043

Del Rio Area Engr/Maint Sect (22VALVRDCO)
319 E GIBBS ST
Del Rio, 78840

Carrizo Springs Ae/Maint Sect (22DIMMITCO)
2001 N FIRST STREET
Carrizo Springs, 78834

, Laredo District Headquarters" ], "timestamp" : "2026-06-15T10:17:43.536", "fingerprint" : "3c65eb71b62cab97fa5fe9a23f4c3c54d820c95c2e4a312b4beac182651cd98d", "source" : "taleo", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42459", "externalId" : "42459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Laredo", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" }, { "city" : "Del Rio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" }, { "city" : "Carrizo Springs", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Laredo, Texas, United States; Del Rio, Texas, United States; Carrizo Springs, Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "professionalSkills" : [ "Engineering or related science degree program." ], "coreResponsibilities" : "Support the Laredo district, Laredo, Del Rio and Carrizo Springs Area offices. Develop and enhance job skills through practical application in projects serving the rapidly expanding border district.", "teamCollaboration" : "Work with skilled and licensed professionals.", "continuousLearning" : "Develop and enhance job skills through practical application.", "specialRequirements" : "Summer program will run from May 2026 till August 15th 2026.", "qualificationsBasic" : "Must be enrolled in high school or in an engineering or related science degree program.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's Laredo District is excited to announce our Summer/ Year round intern program!!!! We are looking for a few Intern Engineering Support Technicians to support the Laredo district, Laredo, Del Rio and Carrizo Springs Area offices. These interns must be enrolled in high school or in an engineering or related science degree program. This position will offer the opportunity to gain valuable work experience, a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to a future career with the agency. At TxDOT you will work with skilled and licensed professionals to develop and enhance job skills through practical application in projects serving the rapidly expanding border district. The summer program will run from May 2026 till August 15th 2026. Job Code: S063 Job Title: Intern Engineering Support State Code: 2119 State Title: Engineering Aide Salary Group: A11 FLSA Status: Non-Exempt Hourly Rate: $19.00 19.00 19.00", "summaryDescription" : "Intern Engineering Support at TxDOT. Support the Laredo district, Laredo, Del Rio and Carrizo Springs Area offices. Develop and enhance job skills through practical application in projects serving the rapidly expanding border district.", "createdAt" : "2026-06-14T21:27:33.809", "lastUpdated" : "2026-06-15T10:17:43.536", "ingestTimestamp" : "2026-06-14T21:27:33.809", "mongoId" : "694ae71c70f0b99d589b594f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Engineering or related science degree program." ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "summer 2026 intern model based systems engineering digital systems engineering jobs", "metadata" : { "title" : "summer 2026 intern model based systems engineering digital systems engineering" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 100728, "totalPages" : 2015, "hasNext" : true, "hasPrevious" : false } }

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