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Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
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We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. 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Program staff; Engineers; External agencies; Technical teams; Non-technical teams; Diverse stakeholders", "projectManagementSkills" : [ "IT project management" ], "domainKnowledge" : "public safety; forensic environments; government environments; data governance; system compliance; information security; ISO standards; forensic quality assurance; regulatory compliance frameworks; secure environments; classified environments", "domainList" : [ "public-safety", "forensic-environments", "government-environments", "data-governance", "system-compliance", "information-security", "iso-standards", "forensic-quality-assurance", "regulatory-compliance-frameworks", "secure-environments", "classified-environments" ], "domainSpecificKnowledge" : [ "public safety", "forensic environments", "government environments", "data governance", "system compliance", "information security", "ISO standards", "forensic quality assurance", "regulatory compliance frameworks", "secure environments", "classified environments" ], "communicationSkills" : "Excellent communication skills", "documentationSkills" : "Documentation skills", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "U.S. citizenship, MBI clearance eligibility, Moderate travel requirement (up to 20%)", "qualificationsBasic" : "Master's degree, 5+ years database management, 5+ years system administration, 5+ years IT project management, 4+ years functional testing, 4+ years performance testing, Understanding data governance, Understanding system compliance, Understanding information security, Knowledge of ISO standards, Knowledge of forensic QA, Knowledge of regulatory compliance, Experience conducting system audits, Analytical skills, Problem-solving skills, Documentation skills, Ability to train users, Ability to guide users, Ability to support users, Excellent communication skills, Excellent collaboration skills, U.S. citizenship, MBI clearance eligibility", "qualificationsPreferred" : "Experience in public safety environments, Experience in forensic environments, Experience with secure environments, Experience with classified environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Oversee the performance, functionality, integration, and enhancement of a complex database system, ensuring alignment with operational and program requirements. Manage system improvement initiatives, including enhancement tracking, modification planning, and execution of updates to improve usability and performance. Conduct system audits and performance assessments to ensure compliance with internal policies, security standards, and regulatory requirements. Serve as the primary liaison between users, program staff, engineers, and external agencies to translate business needs into technical requirements. Monitor system issues, user feedback, and operational metrics, providing recommendations for optimization and future enhancements. Support data governance activities, including management of data sharing processes, FOIA-related requests, and database import/export functions. Collaborate with technical teams to ensure system stability, reliability, and continuous improvement across all functional areas. Contribute to quality assurance processes, ensuring system functionality meets forensic, compliance, and operational standards. Requirements Master’s degree in Criminal Justice, Computer Science, Information Systems, or a related technical or analytical field. 5+ years of experience in database management, system administration, or IT project management, ideally within public safety, forensic, or government environments. 4+ years of experience in functional and performance testing of database or enterprise systems. Strong understanding of data governance, system compliance, and information security principles. Knowledge of ISO standards, forensic quality assurance protocols, and regulatory compliance frameworks. Experience conducting system audits, identifying issues, and implementing corrective actions. Strong analytical, problem-solving, and documentation skills with attention to detail. Ability to train, guide, and support users on system processes and quality assurance best practices. Excellent communication and collaboration skills, with experience working across technical and non-technical teams. Experience with secure or classified environments is highly desirable. U.S. citizenship and eligibility to obtain a Moderate Risk Background Investigation (MBI) clearance required. Benefits Annual salary range of $110,000 to $120,000. Fully remote position with nationwide flexibility. Opportunity to work on mission-critical systems supporting public safety and national programs. Exposure to complex database systems, compliance frameworks, and high-impact operational environments. Professional growth within a highly technical, regulated, and purpose-driven setting. Collaborative, cross-functional work environment with diverse stakeholders. Competitive benefits package including healthcare, retirement, and paid time off (subject to employer policies). Moderate travel requirement (up to 20%) for meetings, coordination, and project support activities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "System and Process Project Manager. Skills: Database management, System administration, IT project management, Data governance. Oversee system performance. Oversee system functionality", "postedDate" : "2026-06-15T09:38:03.413", "createdAt" : "2026-06-15T09:38:03.413", "lastUpdated" : "2026-06-16T12:02:06.669", "ingestTimestamp" : "2026-06-16T03:22:40.295", "mongoId" : "6a30511af292fd229cefa78b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 120000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Database management", "System administration", "IT project management", "Functional testing", "Performance testing", "Data governance", "System compliance", "Information security", "ISO standards", "Forensic QA", "Regulatory compliance", "System audits", "Corrective actions", "Enhancement tracking", "Modification planning", "Execution of updates", "Performance assessments", "Data sharing processes", "FOIA requests", "Database import/export", "System stability", "System reliability", "Quality assurance", "Forensic standards", "Compliance standards", "Operational standards", "Analytical skills", "Problem-solving skills", "Documentation skills", "Training users", "Guiding users", "Supporting users", "Communication skills", "Collaboration skills", "Working across teams", "public safety", "forensic environments", "government environments", "data governance", "system compliance", "information security", "forensic quality assurance", "regulatory compliance frameworks", "secure environments", "classified environments" ], "skillCount" : 45, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cc3ba74d8ee00a0a0a571", "title" : "Manufacturing Engineer - Process Quality", "company" : "Amazon Data Services", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T09:55:15.875", "fingerprint" : "bda20802c2a271ef634e5e64a599aae2aa1076e3c18d44b92134a03bc4b397c1", "source" : "amazon", "applyUrl" : "https://account.amazon.jobs/jobs/10447341/apply", "externalId" : "6736b786-38af-4b43-a3e5-5f4e40fb8772", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Experience in high volume manufacturing operations or sourcing environments, with a focus on server platforms or high-tech hardware. Understanding of product development lifecycle from concept to production." ], "hardSkillsList" : [ "server platforms", "high-tech hardware" ], "softSkillsList" : [ "ownership, collaboration" ], "hardSkills" : [ { "name" : "server platforms", "level" : "intermediate" }, { "name" : "high-tech hardware", "level" : "intermediate" } ], "softSkills" : [ { "name" : "ownership, collaboration" } ], "majorSkills" : "Process Quality, Manufacturing, Root Cause Analysis, PFMEA, Control Plans", "majorSkillsList" : [ "Process Quality, Manufacturing, Root Cause Analysis, PFMEA, Control Plans" ], "coreResponsibilities" : "The Manufacturing Engineer will scale up manufacturing for new products globally, overseeing quality control processes with Contract Manufacturers (CMs), Original Design Manufacturers (ODMs), and component vendors. This role involves providing hands-on technical support during product introductions, investigating and resolving customer escalations through root cause analysis, and supporting global operations with significant travel.", "teamCollaboration" : "Collaborate with ODMs, CMs, internal AWS hardware and software development teams, and upstream component vendors. Work with a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, and operations managers. Partner with people across AWS to ensure high standards for safety and security.", "projectManagementSkills" : [ "technical projects" ], "communicationSkills" : "technical support", "documentationSkills" : "PFMEAs; process flows", "continuousLearning" : "At AWS, it’s in our nature to learn and be curious, with endless knowledge-sharing, mentorship, and career-advancing resources available to help professionals develop.", "innovationCreativity" : "An inclusive culture that welcomes bold ideas and empowers employees to own them to completion.", "specialRequirements" : "This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production scaled across a global network. You will own PFMEAs, Control Plans and process flows from startup through the end of life of the product. Requires 25-50% domestic and international travel.", "outcomesObjectives" : "Ensure the company can achieve its throughput and quality targets. Deliver the highest standards for safety and security while providing infinite capacity at the lowest possible cost for customers.", "qualificationsBasic" : "Requires 3+ years of experience in high volume manufacturing operations or sourcing environments, a Bachelor's or Master's degree in Mechanical, Industrial, Manufacturing Engineering or a related field (or equivalent experience), 2+ years of Manufacturing Engineering work experience with server platforms or high-tech hardware, and 3+ years of product development experience.", "qualificationsPreferred" : "Preferred qualifications include experience working with interdisciplinary teams to execute product design from concept to production, and experience with the project management of technical projects.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services’ Hardware Engineering team is looking for experienced professionals to help build the world’s premier cloud computing platform. We are looking for Manufacturing Engineers who are capable of operating in a fast paced, ever changing, multi-platform international manufacturing and production environment. Our Process Quality team works closely with our ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to scale up manufacturing processes and ensure we can achieve our throughput and quality targets. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production scaled across a global network. You will own PFMEAs, Control Plans and process flows from startup through the end of life of the product. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Scale up manufacturing on new products across a global network. Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors Deliver hands-on technical support during new product introductions and launches Investigate and resolve customer escalations through comprehensive root cause analysis Support global operations through regular domestic and international travel (25-50% of time) A day in the life *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. *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. *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* Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. *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. About the team 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. Amazon Web Services (AWS) 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. 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. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 high volume manufacturing operations or sourcing environments experience - Bachelor's or Master’s degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience. - 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware - 3+ years of product development experience Preferred Qualifications: - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects 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, TX, Austin - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Manufacturing Engineer - Process Quality at Amazon Data Services. Skills: Process Quality, Manufacturing, Root Cause Analysis, PFMEA, Control Plans. The Manufacturing Engineer will scale up manufacturing for new products globally, overseeing quality control processes with Contract Manufacturers (CMs), Original Design Manufacturers (ODMs), and component vendors. This role involves providing hands-on technical support during product introductions, investigating and resolving customer escalations t", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T18:00:17.769", "lastUpdated" : "2026-06-15T09:55:15.875", "ingestTimestamp" : "2026-06-14T18:00:17.769", "mongoId" : "6a2cc3ba74d8ee00a0a0a571", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447341/apply", "hasSalary" : false, "allSkills" : [ "server platforms", "high-tech hardware", "ownership, collaboration", "Process Quality, Manufacturing, Root Cause Analysis, PFMEA, Control Plans", "Experience in high volume manufacturing operations or sourcing environments, with a focus on server platforms or high-tech hardware. Understanding of product development lifecycle from concept to production.", "technical projects" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a889bc74574cbbb5184", "title" : "System Integration and manufacturing Engineer", "company" : "Annapurna Labs Ltd.", "industry" : "Systems, Quality, Security Engineering, Software Development, Cloud Computing", "salary" : { "min" : 325000.0, "max" : 455000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior System Integration and Manufacturing Engineer in Haifa, Israel, adjusted for the technology industry and company size." }, "location" : "Haifa, Haifa, ISR", "locations" : [ "Haifa, Haifa, ISR" ], "timestamp" : "2026-06-14T23:49:46.785", "fingerprint" : "a897dc95a9a66256e1ea85d5dd9c9da39a29165c035ba2232538c8fc4e44e810", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198942/apply", "externalId" : "48b8cc00-ceb8-48ce-b3dd-a3745d6d72cf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Haifa", "state" : "Haifa", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.8191218,34.9983856" } ], "locationText" : "Haifa, Haifa, Israel", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "PCIe, DDR, Ethernet, HW, FW, SW, SQL", "professionalSkills" : [ "System design", "Manufacturing flows", "Quality improvement", "Root cause analysis" ], "hardSkillsList" : [ "Hardware integration", "System integration", "Manufacturing processes", "Test methodologies", "Root cause analysis", "Issue resolution" ], "hardSkills" : [ { "name" : "Hardware integration", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Test methodologies", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" } ], "majorSkills" : "System Integration, Manufacturing Engineering, Hardware Debugging", "majorSkillsList" : [ "System Integration", "Manufacturing Engineering", "Hardware Debugging" ], "coreResponsibilities" : "Collaborate with Server Manufacturers, Build relationships with ODMs, Maintain relationships with ODMs, Serve as primary contact, Monitor manufacturing test results, Perform in-depth analysis, Identify trends, Identify anomalies, Identify root causes, Define new test methodologies, Improve existing test methodologies, Enhance test coverage, Enhance test efficiency, Enhance test accuracy, Identify coverage gaps, Identify quality process gaps, Resolve quality process gaps, Implement corrective actions, Implement preventive measures, Collaborate with internal teams, Partner with other AWS teams, Own debug of complex hardware issues, Participate in debug of complex hardware issues, Provide technical expertise to ODMs, Facilitate rapid issue resolution", "teamCollaboration" : "Cross-functional partnership; Internal teams collaboration; Other AWS teams partnership", "domainKnowledge" : "Nitro hardware; Server manufacturing; High-speed interfaces; x86 architecture; ARM architecture; Operating systems; Boot loaders; Networking; Remote debugging", "domainList" : [ "nitro-hardware", "server-manufacturing", "high-speed-interfaces", "x86-architecture", "arm-architecture", "operating-systems", "boot-loaders", "networking", "remote-debugging" ], "domainSpecificKnowledge" : [ "Nitro hardware", "Server manufacturing", "High-speed interfaces", "x86 architecture", "ARM architecture", "Operating systems", "Boot loaders", "Networking", "Remote debugging" ], "innovationCreativity" : "Invent and Simplify complex manufacturing flows", "problemSolvingSkills" : "Dive Deep into test data; Troubleshooting; Debugging", "outcomesObjectives" : "Ensure newest hardware reaches data center with good quality; Ensure production lines work at massive scale", "qualificationsBasic" : "B. Sc. in Electrical Engineering, B. Sc. in Computer Engineering, 5+ years Design experience, 5+ years Integration experience, 5+ years HW System engineering Experience, 3+ years systems experience, 3+ years systems SW experience, 3+ years systems FW experience, 3+ years systems HW components experience", "qualificationsPreferred" : "Computer architecture knowledge, Good understanding of SW architecture, High-speed interfaces knowledge, Debug capabilities PCIe, Debug capabilities Ethernet, Debug capabilities DDR, Server (x86 / ARM) design experience, Server (x86 / ARM) architecture experience, Experience with operating systems, Experience with boot loaders, Experience with networking, Experience with remote debugging, Ability to drive cross team activities, Ability to drive cross disciplinary activities, Experience in big data analysis, SQL experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Annapurna Labs, as part of Amazon, is looking for System Integration and Manufacturing Engineer to join our Nitro Cards product team (https://aws.amazon.com/ec2/nitro/). Our products incorporate the most advanced interfaces and technologies, such as PCIe, DDR, and Ethernet, and are widely used across Amazon Web Services (AWS) data centers as the backbone for Nitro and other services. The Nitro cards are integrated into servers, and during the server manufacturing process, all Nitro interfaces are thoroughly tested before the server is approved for shipment to the data center. We manage multiple server types across various manufacturer sites, all controlled by a scalable infrastructure. The design and maintenance of this infrastructure are owned by the AWS team. The Nitro product team closely monitors the manufacturing results of the Nitro cards integrated into the servers to ensure consistent quality and performance. As System Integration and Manufacturing Engineer for Nitro, you will be the technical owner of the manufacturing lifecycle, specifically focused on the Nitro hardware and it’s integration. You will be the primary driver for new server nitro integration during their first manufacturing runs, ensuring that our newest hardware reaches the data center with good quality. You will be expected to \"Dive Deep\" into test data, \"Invent and Simplify\" complex manufacturing flows, and ensure our production lines works at massive scale. Key job responsibilities - Collaborate with Server Manufacturers: Build and maintain strong relationships with AWS server Original Design Manufacturers (ODMs). Serve as the primary point of contact for all manufacturing test-related issues. - Monitor & Analyze Test Data: Continuously monitor manufacturing test results from our ODMs, perform in-depth analysis to identify trends, anomalies, and root causes of failures. - Drive Test Optimization: Define new test methodologies and improve existing ones to enhance test coverage, efficiency, and accuracy. Identify and address coverage gaps in current testing strategies. - Champion Quality Improvement: Identify and resolve quality process gaps within the server manufacturing process. Work with ODMs to implement corrective actions and preventive measures. - Cross-Functional Partnership: Collaborate closely with internal teams at Annapurna Labs, including software, hardware, and product integration teams. Partner with other AWS teams to ensure seamless integration and optimal server performance. - Troubleshooting & Debugging: Own or participate in the debug of complex hardware issues arising during manufacturing. Provide technical expertise to ODMs to facilitate rapid issue resolution. Basic Qualifications: - B.Sc. in Electrical Engineering, Computer Engineering, or related field - At least 5 years Design / Integration / HW System engineering Experience in at least one area - HW / FW / SW - At least 3 years’ experience working with systems and experience with their SW, FW and HW components Preferred Qualifications: - Computer architecture knowledge - Good understanding of SW architecture - High-speed interfaces knowledge and debug capabilities- PCIe, Ethernet, DDR etc. - Experience with server (x86 / ARM) design or architecture - Experience with operating systems, boot loaders, networking, and remote debugging - Ability to drive cross team and cross disciplinary activities - Experience in big data analysis (SQL) 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" : "System Integration and manufacturing Engineer at Annapurna Labs Ltd.. Skills: System Integration, Manufacturing Engineering, Hardware Debugging. Collaborate with Server Manufacturers. Build relationships with ODMs", "postedDate" : "2026-06-13T09:13:06.683", "createdAt" : "2026-06-13T09:13:06.683", "lastUpdated" : "2026-06-14T23:49:46.785", "ingestTimestamp" : "2026-06-13T09:13:06.683", "mongoId" : "69c94a889bc74574cbbb5184", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198942/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Hardware integration", "System integration", "Manufacturing processes", "Test methodologies", "Root cause analysis", "Issue resolution", "System Integration", "Manufacturing Engineering", "Hardware Debugging", "System design", "Manufacturing flows", "Quality improvement", "Nitro hardware", "Server manufacturing", "High-speed interfaces", "x86 architecture", "ARM architecture", "Operating systems", "Boot loaders", "Networking", "Remote debugging" ], "skillCount" : 21, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3051f8f292fd229cf09f01", "title" : "Target System Analysis Analyst", "company" : "Accenture Federal Services", "industry" : "Consulting", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Target System Analysis Analyst in Molesworth, United Kingdom, adjusted for the government industry and company size." }, "location" : "Molesworth, England, United Kingdom", "locations" : [ "Molesworth", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:37:14.761", "fingerprint" : "2f8285d9b515a28a771b06e68ae9bd1093c3ede299d2d0f5430394e63d65a974", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/accenturefederalservices/jobs/4688304006?gh_jid=4688304006", "externalId" : "4688304006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Molesworth", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3704941,-0.4269704" } ], "locationText" : "Molesworth, England, United Kingdom", "rawDescription" : "At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The Work As a Target System Analysis (TSA) Analyst, you will analyze all‑source intelligence and produce advanced, decision‑quality target system assessments in a dynamic theater environment. You’ll integrate intelligence into operational planning and contribute across the Joint Targeting Cycle to enable precise, compliant, and operationally relevant effects. Develop advanced Target System Assessments (TSAs) using all‑source methods; synthesize complex data into clear analytic products and briefings for senior stakeholders. Integrate intelligence with operational planning activities, supporting Joint Intelligence Preparation of the Operational Environment (JIPOE/JIOPE) and target development (basic, intermediate, and advanced). Contribute across the Joint Targeting Cycle, including weaponeering inputs, collateral damage estimation (CDE), target validation, and effects assessment. Apply DIA tradecraft (e.g., Center of Gravity and Critical Factors Analysis) and analytic methodologies; maintain rigorous analytic design and documentation standards. Use mission systems and collaboration platforms (e.g., RMT, CHROME, Cedalion, Warpath, MARS, MIDB) to research, fuse, and share intelligence. Coordinate with COCOM J2 targeting cells and joint/coalition partners; ensure alignment with Combatant Command (COCOM) structures, directives, and processes. Produce high‑quality analytical writing, visualizations, and briefings that translate complex findings into actionable insights for operators and planners. Here's What You Need Joint Targeting Fundamentals (JTF) certification is required Knowledge and/or familiarization with the below publications JP 5‑0 (Joint Planning); JP 2‑0 (Joint Intelligence) Target System Analysis (TSA) Working Group document CJCS 3162.01 (Irregular Warfare) Headquarters Joint Operations Center (JOC) J2T Handbook Defense Intelligence Reference Documents (DIRD): Analytic Methodologies; Analytic Design DIA Tradecraft: Center of Gravity & Critical Factors Analysis Joint Staff Director of Intelligence — Joint Guide for JIOPE/JIPOE General familiarity with COCOM‑specific directives and operational frameworks Prior service in a COCOM J2 targeting cell with 3+ years of relevant TSA experience preferred Proficiency with intelligence analysis tools (e.g., RMT, CHROME, Cedalion, Warpath, MARS, MIDB) and collaboration platforms. Eligibility Requirements US Citizen Active TS/SCI clearance Ability to work onsite in Molesworth, UK As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $78,600—$160,200 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.", "summaryDescription" : "Target System Analysis Analyst at Accenture Federal Services", "postedDate" : "2026-06-15T23:19:16.338", "createdAt" : "2026-06-15T23:19:16.338", "lastUpdated" : "2026-06-16T10:37:14.761", "ingestTimestamp" : "2026-06-15T23:19:16.338", "mongoId" : "6a3051f8f292fd229cf09f01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ce74a74d8ee00a0a67067", "title" : "Process and System Engineer III", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Process and System Engineer III in Santa Rosa, USA, adjusted for mid-level seniority and full-time employment." }, "location" : "Santa Rosa, CA", "locations" : [ "Santa Rosa, CA" ], "timestamp" : "2026-06-15T08:06:58.808", "fingerprint" : "bcac2ebebb2d9b42c76e8a63ea502adefb6d88d4fc52150f046d6383da536418", "source" : "jazzhr", "language" : "en", "externalId" : "HAiLX4W4Wz", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Rosa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.4404925,-122.7141049" } ], "locationText" : "Santa Rosa, California, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "summaryDescription" : "Process and System Engineer III", "createdAt" : "2026-06-14T02:28:01.688", "lastUpdated" : "2026-06-15T08:06:58.808", "ingestTimestamp" : "2026-06-14T02:28:01.688", "mongoId" : "6a2ce74a74d8ee00a0a67067", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2cc3ba74d8ee00a0a0a55c", "title" : "Sr. Manufacturing Engineer - Process Quality", "company" : "Amazon Web Services", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manufacturing Engineer in the Technology industry in Singapore, adjusted for company size and seniority." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-16T00:58:09.037", "fingerprint" : "1dcd7cf7ec8b8a0b357214c1b962c7480f75bb099d206629aee992da8f4ae478", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10447346/apply", "externalId" : "0a36cebd-c1f4-445c-a498-14949fb2e27d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product development", "Process quality" ], "hardSkillsList" : [ "Root cause analysis", "PFMEAs", "Control Plans", "Process flows" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "PFMEAs", "level" : "intermediate" }, { "name" : "Control Plans", "level" : "intermediate" }, { "name" : "Process flows", "level" : "intermediate" } ], "majorSkills" : "Process Quality, Manufacturing Engineering", "majorSkillsList" : [ "Process Quality", "Manufacturing Engineering" ], "coreResponsibilities" : "Scale up manufacturing, Lead quality control processes, Oversee quality control, Deliver technical support, Investigate escalations, Resolve customer escalations, Support global operations", "teamCollaboration" : "ODMs; CMs; Internal AWS teams; Component vendors; Interdisciplinary teams", "domainKnowledge" : "Cloud computing platform; Hardware engineering; Manufacturing processes; Production environment", "domainList" : [ "cloud-computing-platform", "hardware-engineering", "manufacturing-processes", "production-environment" ], "domainSpecificKnowledge" : [ "Cloud computing platform", "Hardware engineering", "Manufacturing processes", "Production environment" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "25-50% travel", "outcomesObjectives" : "Achieve throughput targets; Achieve quality targets", "qualificationsBasic" : "6+ years manufacturing operations experience, 2+ years server platforms experience, 2+ years high-tech hardware experience, 5+ years product development experience", "qualificationsPreferred" : "Experience with interdisciplinary teams, Experience in technical program management, Bachelor's or Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services’ Hardware Engineering team is looking for experienced professionals to help build the world’s premier cloud computing platform. We are looking for Manufacturing Engineers who are capable of operating in a fast paced, ever changing, multi-platform international manufacturing and production environment. Our Process Quality team works closely with our ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to scale up manufacturing processes and ensure we can achieve our throughput and quality targets. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production scaled across a global network. You will own PFMEAs, Control Plans and process flows from startup through the end of life of the product. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Scale up manufacturing on new products across a global network. Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors Deliver hands-on technical support during new product introductions and launches Investigate and resolve customer escalations through comprehensive root cause analysis Support global operations through regular domestic and international travel (25-50% of time) Basic Qualifications: - 6+ years of high volume manufacturing operations or sourcing environments experience - 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware - 5+ years of product development experience Preferred Qualifications: - Experience working with interdisciplinary teams to execute product design from concept to production - Experience in technical program management - Bachelor's or Master’s degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience. 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" : "Sr. Manufacturing Engineer - Process Quality at Amazon Web Services. Skills: Process Quality, Manufacturing Engineering. Scale up manufacturing. Lead quality control processes", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T19:27:18.798", "lastUpdated" : "2026-06-16T00:58:09.037", "ingestTimestamp" : "2026-06-14T19:27:18.798", "mongoId" : "6a2cc3ba74d8ee00a0a0a55c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447346/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Root cause analysis", "PFMEAs", "Control Plans", "Process flows", "Process Quality", "Manufacturing Engineering", "Product development", "Process quality", "Cloud computing platform", "Hardware engineering", "Manufacturing processes", "Production environment" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308ac8f292fd229c097507", "title" : "Process Quality Technician", "company" : "Vericast", "industry" : "Marketing And Advertising", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, UT, United States", "locations" : [ "Salt Lake City", "UT", "United States" ], "timestamp" : "2026-06-16T11:41:04.459", "fingerprint" : "aa6a0b6c37e586deb1e3cafa2621618587db1cda1af3aaa6261a12c9d6576d9e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vericast/744000132246989-process-quality-technician-i-mon-fri-8a-4p-", "externalId" : "744000132246989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Microsoft Office, Microsoft Word, Microsoft Excel, Microsoft Outlook", "professionalSkills" : [ "Quality control", "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Quality inspection", "Data collection", "Report generation" ], "hardSkills" : [ { "name" : "Quality inspection", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" } ], "majorSkills" : "Quality control, Process monitoring", "majorSkillsList" : [ "Quality control", "Process monitoring" ], "coreResponsibilities" : "Perform quality inspections on incoming materials and finished, Monitor production processes to ensure adherence to quality, Collect and analyze quality data, Document inspection results and quality issues, Assist in the investigation of quality deviations, Participate in continuous improvement initiatives, Maintain a clean and organized work area", "teamCollaboration" : "Production team; Quality assurance team", "domainKnowledge" : "Quality control principles; Manufacturing processes", "domainList" : [ "quality-control-principles", "manufacturing-processes" ], "domainSpecificKnowledge" : [ "Quality control principles", "Manufacturing processes" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Technical documentation; Report generation", "documentationSkills" : "Inspection reports; Quality records", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Ensure product quality; Identify quality issues; Support process improvements", "qualificationsBasic" : "High school diploma or GED, 1+ year of experience in a manufacturing or quality environment, Proficiency in Microsoft Office Suite (Word, Excel, Outlook), Ability to read and interpret technical documents and quality standards, Basic understanding of quality control principles", "qualificationsPreferred" : "Associate's degree in a related field, Experience with statistical process control (SPC) software, Knowledge of Lean Manufacturing or Six Sigma principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit [http://www.vericast.com](http://www.vericast.com/) or follow Vericast on [LinkedIn](https://www.linkedin.com/company/vericastmarketing/) . Process Quality Technician I - * Hourly Pay Rate: $18.00+ DOE + $0.50/hr wage increase eligible after 90 days * Hours: Monday -Friday 8:00am - 4:00pm * Paid Break and Lunch The Process Quality Technician is responsible for supporting the quality group & the teams in the production environment along with using troubleshooting techniques to solve PQ related issues. KEY DUTIES & RESPONSIBILITIES * Required to perform Print, Bindery, Packaging, & Mailroom audits and inspections as outlined in training materials. * Inspect problem runs, perform equipment quality tests, such as motion quality, signal strength, and MICR sampling. * Evaluate and count spoilage. * Support production teams on quality questions. * Produce and process samples for QCS. * Conduct research and root cause analysis. * Attend daily Team Business Meetings (huddles) as the quality resource. * Other duties as assigned. * Research and identify late work. * Run ready to sort reports. EQUIPMENT & SOFTWARE UTILIZED * Computer, keyboard, and mouse * Experience using MS Office ## Qualifications KNOWLEDGE / SKILLS / ABILITIES * Must have good typing skills * Willingness to train with desire to increase knowledge of quality duties * Strong technical and computer knowledge * Attention to detail * Ability to handle confidential information COMMUNICATION &CONTACTS * Excellent communication skills both written and verbal * Must be able to effectively communicate with QCS, Account Managers, and Priority One Managers * Frequently interacts with employees on work team by sharing information both out on the floor and in Team Business Meetings. DECISION MAKING * Ability to make fact based decisions with shift Team Leader PHYSICAL REQUIREMENTS * Include bending, walking, standing and kneeling 8-10 hours a day and lifting up to 20 lbs on occasion. ## Additional Information Applications will be accepted until the posted deadline Monday July 13th, 2026 or until a sufficient candidate pool has been identified. Vericast offers a year-round TEMPERATURE CONTROLLED, BRIGHT, CLEAN manufacturing printing team-based environment. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [talentacquisition@vericast.com](mailto:talentacquisition@vericast.com). EEO is the law. To review your rights under Equal Employment Opportunity please visit: [www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) #LI-SM1 #LI-Onsite", "summaryDescription" : "Process Quality Technician at Vericast. Skills: Quality control, Process monitoring. Perform quality inspections on incoming materials and finished. Monitor production processes to ensure adherence to quality", "postedDate" : "2026-06-15T16:40:46.000", "createdAt" : "2026-06-16T01:45:01.657", "lastUpdated" : "2026-06-16T11:41:04.459", "ingestTimestamp" : "2026-06-16T01:45:01.657", "mongoId" : "6a308ac8f292fd229c097507", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quality inspection", "Data collection", "Report generation", "Quality control", "Process monitoring", "Process improvement", "Data analysis", "Quality control principles", "Manufacturing processes", "Microsoft Office Suite" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3061d9f292fd229cf97fc1", "title" : "Process Quality Technician", "company" : "Vericast", "industry" : "Marketing And Advertising", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, UT, United States", "locations" : [ "Salt Lake City", "UT", "United States" ], "timestamp" : "2026-06-16T09:23:23.956", "fingerprint" : "85b53a44131c2e61d1f47935e9018c37baf03b706767ac664e09664f3de6b422", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vericast/744000132246989-process-quality-technician-i-mon-fri-8a-4p-", "externalId" : "744000132246989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Quality control", "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Quality inspection", "Root cause analysis", "Documentation" ], "hardSkills" : [ { "name" : "Quality inspection", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" } ], "majorSkills" : "Quality control, Process improvement", "majorSkillsList" : [ "Quality control", "Process improvement" ], "coreResponsibilities" : "Perform quality inspections on incoming materials, Monitor production processes for quality compliance, Identify and document non-conforming products, Assist in root cause analysis of quality issues, Participate in continuous improvement initiatives, Maintain quality records and documentation, Collaborate with production and engineering teams", "teamCollaboration" : "Production teams; Engineering teams", "domainKnowledge" : "Manufacturing processes; Quality control processes", "domainList" : [ "manufacturing-processes", "quality-control-processes" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Quality control processes" ], "toolProficiency" : [ "Microsoft Office Suite", "Quality management software" ], "documentationSkills" : "Quality records; Process documentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ensure product quality standards; Reduce defects; Improve process efficiency", "qualificationsBasic" : "High school diploma or GED, 2 years of experience in a quality role, Experience with quality control processes, Experience with manufacturing processes", "qualificationsPreferred" : "Associate's degree in a related field, Experience with statistical process control (SPC), Knowledge of Lean Manufacturing principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit [http://www.vericast.com](http://www.vericast.com/) or follow Vericast on [LinkedIn](https://www.linkedin.com/company/vericastmarketing/) . Process Quality Technician I - * Hourly Pay Rate: $18.00+ DOE + $0.50/hr wage increase eligible after 90 days * Hours: Monday -Friday 8:00am - 4:00pm * Paid Break and Lunch The Process Quality Technician is responsible for supporting the quality group & the teams in the production environment along with using troubleshooting techniques to solve PQ related issues. KEY DUTIES & RESPONSIBILITIES * Required to perform Print, Bindery, Packaging, & Mailroom audits and inspections as outlined in training materials. * Inspect problem runs, perform equipment quality tests, such as motion quality, signal strength, and MICR sampling. * Evaluate and count spoilage. * Support production teams on quality questions. * Produce and process samples for QCS. * Conduct research and root cause analysis. * Attend daily Team Business Meetings (huddles) as the quality resource. * Other duties as assigned. * Research and identify late work. * Run ready to sort reports. EQUIPMENT & SOFTWARE UTILIZED * Computer, keyboard, and mouse * Experience using MS Office ## Qualifications KNOWLEDGE / SKILLS / ABILITIES * Must have good typing skills * Willingness to train with desire to increase knowledge of quality duties * Strong technical and computer knowledge * Attention to detail * Ability to handle confidential information COMMUNICATION &CONTACTS * Excellent communication skills both written and verbal * Must be able to effectively communicate with QCS, Account Managers, and Priority One Managers * Frequently interacts with employees on work team by sharing information both out on the floor and in Team Business Meetings. DECISION MAKING * Ability to make fact based decisions with shift Team Leader PHYSICAL REQUIREMENTS * Include bending, walking, standing and kneeling 8-10 hours a day and lifting up to 20 lbs on occasion. ## Additional Information Applications will be accepted until the posted deadline Monday July 13th, 2026 or until a sufficient candidate pool has been identified. Vericast offers a year-round TEMPERATURE CONTROLLED, BRIGHT, CLEAN manufacturing printing team-based environment. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [talentacquisition@vericast.com](mailto:talentacquisition@vericast.com). EEO is the law. To review your rights under Equal Employment Opportunity please visit: [www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) #LI-SM1 #LI-Onsite", "summaryDescription" : "Process Quality Technician at Vericast. Skills: Quality control, Process improvement. Perform quality inspections on incoming materials. Monitor production processes for quality compliance", "postedDate" : "2026-06-15T16:40:46.000", "createdAt" : "2026-06-15T23:49:56.407", "lastUpdated" : "2026-06-16T09:23:23.956", "ingestTimestamp" : "2026-06-15T23:49:56.407", "mongoId" : "6a3061d9f292fd229cf97fc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quality inspection", "Root cause analysis", "Documentation", "Quality control", "Process improvement", "Data analysis", "Manufacturing processes", "Quality control processes", "Microsoft Office Suite", "Quality management software" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79a074d8ee00a09420b6", "title" : "Manufacturing Process Engineer", "company" : "Wedgewood Pharmacy", "industry" : "Manufacturing", "salary" : { "min" : 90000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Albany, OH", "locations" : [ "Albany", "OH" ], "timestamp" : "2026-06-15T09:18:14.570", "fingerprint" : "5d957205cb308ba466ccd9035e78d5324d8fb514d6302cfe24ff69d864d84f53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wedgewoodpharmacy/jobs/4258216009", "externalId" : "4258216009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2275735,-82.2023695" } ], "locationText" : "Albany, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Sterile compounding, Process development, Equipment installation, Commissioning, Qualification, Validation, Preventive Maintenance, Calibration, Root cause investigations, Technology transfer, Scale-up", "professionalSkills" : [ "Process improvement", "Quality assurance", "Regulatory compliance", "Project management", "Vendor selection", "Budgeting" ], "hardSkillsList" : [ "Process engineering", "Pharmaceutical production", "CGMP standards", "SOP authoring", "Batch record maintenance", "Validation protocols", "Technical reports", "Capital projects" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Pharmaceutical production", "level" : "intermediate" }, { "name" : "CGMP standards", "level" : "intermediate" }, { "name" : "SOP authoring", "level" : "intermediate" }, { "name" : "Batch record maintenance", "level" : "intermediate" }, { "name" : "Validation protocols", "level" : "intermediate" }, { "name" : "Technical reports", "level" : "intermediate" }, { "name" : "Capital projects", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Manufacturing processes, Sterile pharmaceutical production, CGMP compliance", "majorSkillsList" : [ "Manufacturing processes", "Sterile pharmaceutical production", "CGMP compliance" ], "coreResponsibilities" : "Design manufacturing processes, Develop manufacturing processes, Implement manufacturing processes, Develop tooling, Implement tooling, Develop workflows, Implement workflows, Support sterile compounding, Support production scale-up, Troubleshoot process issues, Troubleshoot equipment issues, Troubleshoot facility issues, Lead facility startup, Install equipment, Commission equipment, Qualify equipment, Validate equipment, Build manufacturing systems, Refine manufacturing systems, Build manufacturing documentation, Refine manufacturing documentation, Build manufacturing processes, Refine manufacturing processes, Partner with Quality, Partner with Operations, Partner with R&D, Ensure FDA compliance, Ensure cGMP compliance, Author cGMP documentation, Maintain cGMP documentation, Develop Preventive Maintenance programs, Implement Preventive Maintenance programs, Develop Calibration programs, Implement Calibration programs, Provide engineering support, Drive root cause investigations, Manage deviations, Manage CAPAs, Ensure process improvements, Support technology transfer, Support scale-up, Evaluate process improvements, Implement process improvements, Increase throughput, Reduce waste, Enhance product quality, Manage capital projects, Select vendors, Budget capital projects, Execute capital projects, Operate with urgency, Adapt to priorities", "teamCollaboration" : "Cross-functional teams; Quality, Operations, R&D", "projectManagementSkills" : [ "Capital projects" ], "domainKnowledge" : "Sterile pharmaceutical production; FDA requirements; cGMP requirements; 503B outsourcing facility", "domainList" : [ "sterile-pharmaceutical-production", "fda-requirements", "cgmp-requirements", "503b-outsourcing-facility" ], "domainSpecificKnowledge" : [ "Sterile pharmaceutical production", "FDA requirements", "cGMP requirements", "503B outsourcing facility" ], "toolProficiency" : [ "Autoclaves", "HVAC systems", "Refrigeration systems", "Filling equipment", "Compounding equipment", "Packaging equipment" ], "documentationSkills" : "SOPs; Batch records; Validation protocols; Technical reports", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Problem-solving", "specialRequirements" : "Occasional weekend work, Respond to emergencies, 10-15% travel", "outcomesObjectives" : "Minimize downtime; Ensure production continuity; Increase throughput; Reduce waste; Enhance product quality", "qualificationsBasic" : "Bachelor's degree in Engineering, 1–5+ years of experience, Basic understanding of cGMP, Troubleshooting and problem-solving skills, Positive, professional attitude, Ability to work independently, Ability to work in a team environment, Detail-oriented individual, Ability to work cross-functionally, Adapt in a growing environment, Attention to detail, Collaborative mindset", "qualificationsPreferred" : "Experience in a regulated environment, Knowledge of Regulatory and cGMP guidelines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Wedgewood Pharmacy, we are dedicated to improving the lives of animals through customized medication and compassionate care. Every role in our organization contributes to helping pets live healthier, happier lives. We are a team driven by purpose, quality, and a shared commitment to animal health. The Manufacturing Engineer will play a critical role in building and scaling manufacturing operations. This position is responsible for developing, implementing, and continuously improving manufacturing processes, equipment, and systems to support sterile pharmaceutical production. This is a highly hands-on role in a startup environment, requiring the ability to operate both strategically and tactically supporting day-to-day production while establishing scalable, compliant processes aligned with FDA and cGMP requirements. The Basics Location: Albany, Ohio Job Type: Full Time Schedule: Monday - Friday 8:00 am -4:30 pm (Must have the ability to respond to emergencies and be available for occasional weekend work for special projects) Compensation: The base pay range for this position is $90K-$125K base plus an annual bonus commensurate with the individual's experience and qualifications. Benefits: Eligible How You’ll Make an Impact Design, develop, and implement manufacturing processes, tooling, and workflows to support sterile compounding and production scale-up Troubleshoot process, equipment, and facility issues in real time to minimize downtime and ensure production continuity Lead facility startup activities, including equipment installation, commissioning, qualification (IQ/OQ/PQ), and validation Build and refine manufacturing systems, documentation, and processes from the ground up in a fast-paced environment Partner cross-functionally with Quality, Operations, and R&D to ensure compliance with U. S. Food and Drug Administration 503B outsourcing facility requirements and cGMP standards Author and maintain cGMP documentation including SOPs, batch records, validation protocols, and technical reports Develop and implement Preventive Maintenance and Calibration programs for critical manufacturing and facility equipment Provide engineering support for critical systems, including: Autoclaves and sterilization equipment Cleanroom and HVAC & Water systems (e.g., WFI, purified water) Refrigeration and controlled storage systems Filling, compounding, and packaging equipment Drive root cause investigations, deviations, and CAPAs to ensure sustainable process improvements Support technology transfer and scale-up of new products into manufacturing Evaluate and implement process improvements to increase throughput, reduce waste, and enhance product quality Manage capital projects, including vendor selection, budgeting, and execution Operate with a high sense of urgency and adaptability in a startup environment with evolving priorities What We’re Looking For Ability to travel up to 10-15% dependent on business needs Bachelor’s degree in Engineering, Life Sciences, or related technical field 1–5+ years of experience in manufacturing, engineering, or a regulated environment (internships/co-ops considered) Basic understanding of cGMP or regulated industry practices Strong troubleshooting and problem-solving skills You bring a positive, professional attitude and can communicate and collaborate with all levels of employees, customers, contractors & vendors. Comprehensive knowledge of Regulatory and cGMP guidelines, with the ability to contribute to quality records (Deviations, Investigations, CAPA, and Change Control). Ability to work independently and in a team environment Thrive in a fast-paced environment and adapt to changing priorities Detail-oriented individual who understands the importance of accuracy and responsiveness Ability to work cross-functionally and adapt in a growing environment Strong attention to detail and ability to thrive in a fast-paced environment Collaborative mindset and commitment to team success What You’ll Love About Wedgewood Opportunities for growth and career development A supportive, team-first culture where your work matters The ability to make a real impact on animal health every day A comprehensive benefits package that includes health, dental, and flexible spending accounts 401(k) retirement plan with a generous company contribution to help you save for the future Company Paid Life and disability insurance Access to voluntary insurance options A generous paid time off program that increases every year Tuition reimbursement Why We Do What We Do At Wedgewood Pharmacy, your work has purpose. Every prescription you help prepare, support, or deliver contributes to improving the health and well-being of animals. We are passionate about what we do and proud to build a workplace where people feel supported, included, and valued. Our Commitment to Inclusion Wedgewood Pharmacy is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where everyone can thrive.", "summaryDescription" : "Manufacturing Process Engineer at Wedgewood Pharmacy. Skills: Manufacturing processes, Sterile pharmaceutical production, CGMP compliance. Design manufacturing processes. Develop manufacturing processes", "postedDate" : "2026-06-14T02:59:05.250", "createdAt" : "2026-06-14T02:59:05.250", "lastUpdated" : "2026-06-15T09:18:14.570", "ingestTimestamp" : "2026-06-14T02:59:05.250", "mongoId" : "6a2c79a074d8ee00a09420b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process engineering", "Pharmaceutical production", "CGMP standards", "SOP authoring", "Batch record maintenance", "Validation protocols", "Technical reports", "Capital projects", "Adaptability", "Manufacturing processes", "Sterile pharmaceutical production", "CGMP compliance", "Process improvement", "Quality assurance", "Regulatory compliance", "Project management", "Vendor selection", "Budgeting", "FDA requirements", "cGMP requirements", "503B outsourcing facility", "Autoclaves", "HVAC systems", "Refrigeration systems", "Filling equipment", "Compounding equipment", "Packaging equipment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2e895874d8ee00a0de90ce", "title" : "Quality Process Analyst", "company" : "Indivi", "industry" : "Biotech", "salary" : { "min" : 28500.0, "max" : 37000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Quality Process Analyst in the Biotech industry in Cordoba, Spain, adjusted for mid-level experience and full-time employment." }, "location" : "Cordoba, ES", "locations" : [ "Cordoba", "ES" ], "timestamp" : "2026-06-16T06:21:06.876", "fingerprint" : "7134b27a5462b91a9ee09ed5a525a533a2ed7f0abc4a4b199a1c7da376e03f18", "source" : "personio", "language" : "en", "applyUrl" : "https://indivi.jobs.personio.de/job/2645595", "externalId" : "2645595", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cordoba", "state" : "Andalusia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "37.8845813,-4.7760138" } ], "locationText" : "Cordoba, Andalusia, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Product lifecycle management", "Regulatory compliance", "Quality management systems", "Risk management", "Supplier evaluation", "Process documentation", "Training delivery" ], "hardSkillsList" : [ "Technical writing", "Process development" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Technical writing", "level" : "intermediate" }, { "name" : "Process development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Quality Management, Regulatory Compliance, Product Lifecycle", "majorSkillsList" : [ "Quality Management", "Regulatory Compliance", "Product Lifecycle" ], "coreResponsibilities" : "Collaborate with cross-functional teams to identify and mitigate, Build and maintain collaboration between teams, Support the establishment of product technical dossiers, Review and approve documents and records, Delegate complaint management, Lead product change management process, Conduct internal audits, Develop and maintain QMS related processes, Develop and maintain QMS related documentation, Develop and deliver training to employees, Participate in the development or maintenance of products, Ensure compliance requirements are incorporated into the design, Support product risk assessments, Support risk mitigation strategies, Support validation strategies, Support the supplier evaluation, Support the supplier qualification, Analyze trends in complaints, Analyze trends in nonconformances, Identify systemic issues, Drive improvement", "teamCollaboration" : "Cross-functional teams; Product team; Development teams; Quality team", "projectManagementSkills" : [ "Change management" ], "domainKnowledge" : "SaMD; Digital Health; ISO 13485; Privacy regulations", "domainList" : [ "samd", "digital-health", "iso-13485", "privacy-regulations" ], "domainSpecificKnowledge" : [ "SaMD", "Digital Health", "ISO 13485", "Privacy regulations" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "High-quality documentation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Ensure QMS compliance; Ensure product quality; Ensure product safety", "qualificationsBasic" : "Previous experience in software development, Minimum of 2 years of previous experience in the SaMD or Digital Health industry or similar, Previous experience in participating in the development of new products and ensuring regulatory requirements are incorporated into the design and development process, Basic understanding of ISO 13485, Basic understanding of privacy regulations, Ability to deliver high-quality documentation, Ability to prioritize tasks, Ability to meet deadlines, Ability to adapt to changing regulatory requirements, Ability to adapt to industry trends, English proficiency is essential (minimum B2)", "qualificationsPreferred" : "University degree in Computer Science, University degree in Engineering, University degree in a related technical field, Other degrees or relevant qualifications, Certification in a relevant area is a plus, Knowledge of Spanish is advantageous", "rawDescription" : "Your mission Indivi is a TechBio company enabling precision and personalised medicine to become a reality in neuroscience research and development. We are going through significant growth and looking for new team members who want to contribute to making our vision — making measurable what is not so — a reality. Your profile As a Quality Process Analyst, you will play a key role in ensuring that our software products in the Digital Health / SaMD space are developed, maintained, and released in full compliance with applicable regulatory and quality requirements. Responsibilities Quality Management / Compliance / Product Lifecycle Oversight Collaborate with cross-functional teams to identify and mitigate product and regulatory risks throughout the product lifecycle. Build and maintain collaboration between the product team, the development teams and quality team. Support the establishment of product technical dossiers. Review and approve documents and records to ensure QMS compliance, product quality and safety. Delegation of complaint manager. Lead product change management process to ensure changes are assessed according to their impact, correct documents are included and approver and change team are identified. Conduct internal audits to ensure compliance with applicable procedures and standards. Develop and maintain QMS related processes and documentation. Develop and deliver training to employees, if applicable. Participate in the development or maintenance of products and ensure compliance requirements are incorporated into the design and development process. Support product risk assessments and risk mitigation strategies as well as validation strategies. Support the supplier evaluation and qualification. Support the development and maintenance of product technical dossiers. Analyze trends in complaints and nonconformances to identify systemic issues and drive improvement. Necessary Competence (Education / Qualification) A University degree in Computer Science, Engineering, or a related technical field is preferred. Other degrees or relevant qualifications might be considered. Previous experience in software development. Minimum of 2 years of previous experience in the SaMD or Digital Health industry or similar. Previous experience in participating in the development of new products and ensuring regulatory requirements are incorporated into the design and development process. Basic understanding of ISO 13485 and privacy regulations. Ability to deliver high-quality documentation, paying attention to detail. Excellent written and verbal communication skills. Strong problem-solving skills Able to prioritize tasks and meet deadlines. Ability to adapt to changing regulatory requirements and industry trends. Needed skills or mandatory training: Certification in a relevant area is a plus. English proficiency is essential (minimum B2). Knowledge of Spanish is advantageous.", "summaryDescription" : "Quality Process Analyst at Indivi. Skills: Quality Management, Regulatory Compliance, Product Lifecycle. Collaborate with cross-functional teams to identify and mitigate. Build and maintain collaboration between teams", "createdAt" : "2026-06-14T20:50:00.952", "lastUpdated" : "2026-06-16T06:21:06.876", "ingestTimestamp" : "2026-06-14T20:50:00.952", "mongoId" : "6a2e895874d8ee00a0de90ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Technical writing", "Process development", "Problem-solving", "Quality Management", "Regulatory Compliance", "Product Lifecycle", "Product lifecycle management", "Regulatory compliance", "Quality management systems", "Risk management", "Supplier evaluation", "Process documentation", "Training delivery", "Change management", "SaMD", "Digital Health", "ISO 13485", "Privacy regulations" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ae874d8ee00a09475ac", "title" : "Manufacturing Process Engineer", "company" : "Gotion, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 80000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "timestamp" : "2026-06-15T07:47:14.018", "fingerprint" : "0a6620de20bd800a0d94020eac44574d1ca2c672bd86acd0abc9448f4c1764d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/6894478002", "externalId" : "6894478002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manteno", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2501677,-87.8326423" } ], "locationText" : "Manteno, Illinois, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "hardSkillsList" : [ "Process qualification", "Problem-solving" ], "hardSkills" : [ { "name" : "Process qualification", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Manufacturing Engineering, Process Engineering", "majorSkillsList" : [ "Manufacturing Engineering", "Process Engineering" ], "coreResponsibilities" : "Ensure stable manufacturing processes, Hit target yield, Hit target capabilities, Hit target throughput, Hit target OEE, Collaborate on control plans, Collaborate on in-process checks, Support initial process qualification, Drive continuous improvement, Facilitate problem-solving, Develop process documents, Maintain process documents, Conduct training for employees", "teamCollaboration" : "Collaborate with Quality", "domainKnowledge" : "Pack/Module assembly; Lithium batteries", "domainList" : [ "pack-module-assembly", "lithium-batteries" ], "domainSpecificKnowledge" : [ "Pack/Module assembly", "Lithium batteries" ], "documentationSkills" : "Process documents", "innovationCreativity" : "Innovate in next generation technologies", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Hit target yield; Hit target capabilities; Hit target throughput; Hit target OEE", "qualificationsBasic" : "2-10 years experience, BS/MS/PhD in Engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Essential Duties and Responsibilities: Ensure stable manufacturing processes in Pack/Module pilot production line, hitting target yield, capabilities, throughput, and OEE. Collaborate with Quality and other teams on control plans and in-process quality checks. Support initial process qualification, drive continuous improvement, and facilitate problem-solving using quality tools. Develop and maintain process documents, conduct training for production employees. Required Qualifications: 2-10 years of experience in Manufacturing Engineering, preferably in Pack/Module assembly processes. BS/MS/PhD in Mechanical/Industrial/Chemical/Materials Engineering. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $80,000—$120,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Manufacturing Process Engineer at Gotion, Inc.. Skills: Manufacturing Engineering, Process Engineering. Ensure stable manufacturing processes. Hit target yield", "postedDate" : "2026-06-13T21:09:55.778", "createdAt" : "2026-06-13T21:09:55.778", "lastUpdated" : "2026-06-15T07:47:14.018", "ingestTimestamp" : "2026-06-13T21:09:55.778", "mongoId" : "6a2c7ae874d8ee00a09475ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process qualification", "Problem-solving", "Manufacturing Engineering", "Process Engineering", "Pack/Module assembly", "Lithium batteries" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3076fef292fd229c020e86", "title" : "Senior Manufacturing Process Engineer", "company" : "Carbon, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manufacturing Process Engineer in Sunnyvale, United States, adjusted for industry and company size." }, "location" : "Sunnyvale, California, United States", "locations" : [ "Sunnyvale", "California", "United States" ], "timestamp" : "2026-06-16T11:41:26.000", "fingerprint" : "a2b9fb90346db87d8810d88b11b087a6da5a230c16cec448506a18216226495d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/carbon/jobs/5160565007", "externalId" : "5160565007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. TBD By clicking the “APPLY NOW” button and submitting your job application, you agree you have reviewed the complete Privacy Notice for Employees, Independent Contractors and Job Applicants, which explains the categories of personal information we collect about you, the purposes for which the categories of personal information shall be used and your rights with respect to our use of such personal Information.", "summaryDescription" : "Senior Manufacturing Process Engineer at Carbon, Inc.", "postedDate" : "2026-06-16T01:19:09.101", "createdAt" : "2026-06-16T01:19:09.101", "lastUpdated" : "2026-06-16T11:41:26.000", "ingestTimestamp" : "2026-06-16T01:19:09.101", "mongoId" : "6a3076fef292fd229c020e86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8e97e", "title" : "Manufacturing Quality Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 86900.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, USA", "locations" : [ "Kirkland, Washington, USA" ], "certifications" : [ "ASQ Certified Quality Engineer (CQE)", "Six Sigma Green Belt", "Six Sigma Black Belt" ], "timestamp" : "2026-06-15T06:11:58.904", "fingerprint" : "368cdd08496c26ce7d1df2644ca15284c555cf3241ea681d53a45c65b72bd04a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101052/apply", "externalId" : "8c4e4894-7d37-4d8f-be6d-06694024a908", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Quality management systems, Statistical process control, Root cause analysis, Lean Manufacturing, Six Sigma, ISO 9001, Supplier quality management, New product introduction", "professionalSkills" : [ "Problem-solving", "Analytical skills", "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Quality control", "Process validation", "Auditing", "Documentation" ], "hardSkills" : [ { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Process validation", "level" : "intermediate" }, { "name" : "Auditing", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" } ], "majorSkills" : "Quality Engineering, Manufacturing Processes, Statistical Analysis", "majorSkillsList" : [ "Quality Engineering", "Manufacturing Processes", "Statistical Analysis" ], "coreResponsibilities" : "Develop and implement quality control plans, Monitor manufacturing processes for quality, Analyze quality data and identify trends, Lead root cause analysis for quality issues, Implement corrective and preventive actions, Conduct internal audits of manufacturing processes, Collaborate with engineering and production teams, Support new product introduction (NPI) activities, Manage supplier quality issues, Ensure compliance with quality standards", "teamCollaboration" : "Cross-functional teams; Engineering teams; Production teams; Supplier interactions", "projectManagementSkills" : [ "Project planning", "Task management" ], "domainKnowledge" : "Manufacturing quality; Quality management systems; Statistical process control; Lean Manufacturing; Six Sigma; ISO 9001", "domainList" : [ "manufacturing-quality", "quality-management-systems", "statistical-process-control", "lean-manufacturing", "six-sigma", "iso-9001" ], "domainSpecificKnowledge" : [ "Manufacturing quality", "Quality management systems", "Statistical process control", "Lean Manufacturing", "Six Sigma", "ISO 9001" ], "toolProficiency" : [ "JIRA", "Confluence", "Minitab", "Excel" ], "communicationSkills" : "Technical reports; Process documentation; Team meetings", "documentationSkills" : "Quality procedures; Audit reports; CAPA documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data analysis", "outcomesObjectives" : "Improve product quality; Reduce manufacturing defects; Ensure compliance with standards", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5 years of experience in manufacturing, quality, or operations, Experience with quality management systems (QMS), Experience with statistical process control (SPC), Experience with root cause analysis (RCA), Experience with corrective and preventive actions (CAPA)", "qualificationsPreferred" : "Master's degree in a relevant field, Experience with Lean Manufacturing or Six Sigma, Experience with ISO 9001, Experience with supplier quality management, Experience with new product introduction (NPI)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. The Kuiper Manufacturing Quality team is driven to develop a Kuiper Quality System that is capable of scaling aerospace quality to volume and cost levels to meet end customer needs. This position will join the team at an exciting moment, with an opportunity to own quality system development and contribute to the design of requirements, processes, and systems used across the business. 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 - Develop and support Kuiper Quality management activities, including process definition and validation for assembly and test methods, part and process qualification, receiving inspection plans, in-process inspection capabilities, and process monitoring capabilities. - Participate in Material Review Board discussions in Amazon's Finished Satellite Payload Processing facility, determining product dispositions for nonconforming material. - Support the development and launch of multiple aspects of the Quality Management System across Project Kuiper. - Dive deep into root cause corrective action activities for the production processes immediately before Project Kuiper satellites are loaded in the launch vehicle. - Work directly with Receiving Inspection, Supplier Quality, and Engineering teams to develop and qualify inspection, monitoring, and verification methods for the Kuiper Production System. - Be a subject matter expert in manufacturing quality assurance for the Kuiper Production System. A day in the life - Performs daily defect resolution as the Quality member. - Investigates Production System issues to reduce defect rates and drive root cause corrective actions. - Implements the Kuiper Quality System through process development and launch mechanisms. - Partners with cross-functional groups to develop and qualify internal production processes, including Quality Assurance processes. - Conducts rigorous Continuous Improvement activities to prevent recurrence of non-conformances during assembly. - Performs audit activities to ensure compliance to QMS requirements. - Develops and modifies process flow diagrams, PFMEAs, control plans, MSAs, and other APQP artifacts to support continued high quality production. - Working within an AS9100 (or similar) certified quality system. About the team The Kuiper Manufacturing Quality team is driven to deliver high-quality product lines while maintaining a fast production rate. This position will join the team at an exciting moment, with an opportunity to directly own the quality outputs of some of our critical sub-systems. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience with hardware/software integration and real-time systems 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 $86,900/year in our lowest geographic market up to $185,000/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" : "Manufacturing Quality Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Quality Engineering, Manufacturing Processes, Statistical Analysis. Develop and implement quality control plans. Monitor manufacturing processes for quality", "postedDate" : "2026-06-13T19:14:34.903", "createdAt" : "2026-06-13T19:14:34.903", "lastUpdated" : "2026-06-15T06:11:58.904", "ingestTimestamp" : "2026-06-13T19:14:34.903", "mongoId" : "68e0a7e2ce260f92cbf8e97e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101052/apply", "salaryAnnualMin" : 86900, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quality control", "Process validation", "Auditing", "Documentation", "Quality Engineering", "Manufacturing Processes", "Statistical Analysis", "Problem-solving", "Analytical skills", "Process improvement", "Data analysis", "Project planning", "Task management", "Manufacturing quality", "Quality management systems", "Statistical process control", "Lean Manufacturing", "Six Sigma", "ISO 9001", "ASQ Certified Quality Engineer (CQE)", "Six Sigma Green Belt", "Six Sigma Black Belt", "JIRA", "Confluence", "Minitab", "Excel" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cbee974d8ee00a0a00083", "title" : "Senior Manufacturing Process Engineer", "company" : "Avidyne", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manufacturing Process Engineer in Melbourne, United States, adjusted for industry and company size." }, "location" : "Melbourne, FL", "locations" : [ "Melbourne", "FL" ], "timestamp" : "2026-06-16T01:49:16.389", "fingerprint" : "83fda20e6206ada27f51aed2f22596b222427781dd0881a107671a389cdc5cc8", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://avidyne.breezy.hr/p/c9c322ce7133-senior-manufacturing-process-engineer", "externalId" : "c9c322ce7133", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.0785034,-80.6077908" } ], "locationText" : "Melbourne, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Document processes, Qualify equipment, Implement continuous improvement, Own MES, Design for manufacturability, Plan factory layout, Automate systems", "qualificationsBasic" : "Process documentation experience, Equipment qualification experience, Continuous improvement experience, MES ownership experience, DFM experience, Factory layout experience, Systems automation experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Most process engineering roles give you a slice. This one gives you the whole thing. Process documentation, equipment qualification, continuous improvement, MES ownership, DFM, factory layout, systems automation. At larger companies, those are five or six different people", "summaryDescription" : "Senior Manufacturing Process Engineer at Avidyne. Document processes. Qualify equipment", "createdAt" : "2026-06-14T18:50:45.691", "lastUpdated" : "2026-06-16T01:49:16.389", "ingestTimestamp" : "2026-06-14T18:50:45.691", "mongoId" : "6a2cbee974d8ee00a0a00083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9b8024c40e2acd1113f9b", "title" : "Manufacturing Quality Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, Aerospace MFG Engineer, alexa and amazon devices", "salary" : { "min" : 117300.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, USA", "locations" : [ "Kirkland, Washington, USA" ], "timestamp" : "2026-06-15T04:29:18.187", "fingerprint" : "abff568a8ceba6fbdc503ada9d33a78f4eb89ac416d46f6918f87b2bae897088", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410555/apply", "externalId" : "07c19bf3-2b57-4602-a1d6-b31d362914a2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "APQP", "professionalSkills" : [ "Process definition", "Process validation", "Part qualification", "Process qualification", "Inspection plans", "Process monitoring", "Defect reduction", "Quality SME", "Yield performance", "Continuous improvement", "Process development", "Product qualification", "Process development", "Equipment qualification", "Quality Assurance processes", "QMS compliance", "Product requirements compliance", "Process flow diagrams", "PFMEAs", "Control plans", "MSAs" ], "hardSkillsList" : [ "High precision assemblies", "Electromechanical hardware", "High cleanliness", "FOD sensitivity", "Tight tolerance", "High criticality attributes" ], "hardSkills" : [ { "name" : "High precision assemblies", "level" : "intermediate" }, { "name" : "Electromechanical hardware", "level" : "intermediate" }, { "name" : "High cleanliness", "level" : "intermediate" }, { "name" : "FOD sensitivity", "level" : "intermediate" }, { "name" : "Tight tolerance", "level" : "intermediate" }, { "name" : "High criticality attributes", "level" : "intermediate" } ], "majorSkills" : "Quality Engineering, Satellite Mechanisms, Defect Reduction", "majorSkillsList" : [ "Quality Engineering", "Satellite Mechanisms", "Defect Reduction" ], "coreResponsibilities" : "Lead as Product QE, Own product performance, Deliver creative solutions, Reduce defects, Plan to prevent defects, Lead MRB discussions, Determine product dispositions, Dive deep into defect reduction, Drive innovative solutions, Work with Inspection teams, Work with Supplier Quality teams, Work with Engineering teams, Develop inspection methods, Qualify inspection methods, Develop monitoring methods, Qualify verification methods, Ensure no defect mentality, Own defect reduction, Own reporting, Own quality performance, Lead new process mechanisms, Develop new process mechanisms, Own yield performance, Set up monitoring systems, Lead projects, Investigate Production System issues, Reduce defect rates, Drive root cause corrective actions, Drive continuous improvement projects, Implement Leo Quality System, Develop processes, Launch mechanisms, Own and report product performance, Partner with cross-functional groups, Develop product, Qualify product, Develop processes, Qualify processes, Develop equipment, Qualify equipment, Perform audits, Ensure compliance to QMS, Ensure compliance to product requirements, Develop process flow diagrams, Modify process flow diagrams, Develop PFMEAs, Modify PFMEAs, Develop control plans, Modify control plans, Develop MSAs, Modify MSAs", "teamCollaboration" : "Cross-functional production system teams; Cross-functional groups", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Satellite mechanisms; AS9100 requirements; Aerospace quality", "domainList" : [ "satellite-mechanisms", "as9100-requirements", "aerospace-quality" ], "domainSpecificKnowledge" : [ "Satellite mechanisms", "AS9100 requirements", "Aerospace quality" ], "communicationSkills" : "Report out on product performance", "documentationSkills" : "Process flow diagrams; PFMEAs; Control plans; MSAs", "innovationCreativity" : "Creative solutions; Innovative solutions; New and novel process mechanisms", "problemSolvingSkills" : "Root cause analysis; Problem solving", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as a refugee, Lawfully granted asylum", "outcomesObjectives" : "Reduce defects; Prevent defects; Reduce defect rates; Achieve no defect mentality", "qualificationsBasic" : "3+ years as quality engineer, Owning performance over high precision assemblies, Aerospace applications experience", "qualificationsPreferred" : "Master's degree in electrical engineering, Master's degree in computer engineering, Experience working with interdisciplinary teams, Execute product design from concept to production, Experience with project management, Experience in NPI product qualification methods, RCCA methods experience, APQP methods experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. The Leo Manufacturing Quality team is driven to deliver high-quality product lines while maintaining a fast production rate. This position will join the team at an exciting moment, with an opportunity to directly own the quality outputs of some of our critical sub-systems. As a Mfg Quality Engineer, you will have the opportunity to own product performance for some of the most critical sub-assemblies of the satellite, delivering creative solutions to reduce defects, and planning to prevent defects using technical quality skills. 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 - Lead as Product QE over satellite mechanism assemblies, including process definition and validation for assembly and test methods, part and process qualification, inspection plans, in-process inspection capabilities, and process monitoring. - Lead MRB discussions determine product dispositions for nonconforming material. - Dive deep into defect reduction activities for the mechanisms subassemblies, and drive innovative solutions to prevent recurrence of defects. - Work directly with Inspection, Supplier Quality, and Engineering teams to develop and qualify inspection, monitoring, and verification methods for the Leo Production System all through the production system and ensure a no defect mentality - Be a Quality SME for the mechanisms sub-assemblies, owning defect reduction, reporting, and overall quality performance of the mechanism subassemblies, including electromechanical hardware, high cleanliness/FOD sensitivity, tight tolerance & high precision machined parts, high criticality attributes - Lead and develop new and novel process mechanisms for cross functional production system teams. A day in the life - Own yield performance for the mechanisms subassemblies, setting up monitoring systems using production data, and leading projects to creatively deliver solutions to recurring issues in production - Investigates Production System issues to reduce defect rates and drive root cause corrective actions, and continuous improvement projects - Implements the Leo Quality System through process development and launch mechanisms across teams similar to AS9100 requirements - Own and report out on product performance to quality and manufacturing leadership. - Partners with cross-functional groups to develop and qualify product, processes, and equipment, including Quality Assurance processes - Perform audits to ensure compliance to QMS and product requirements. - Develop and modify process flow diagrams, PFMEAs, control plans, MSAs, and other APQP artifacts related to satellite mechanisms. About the team The Amazon Leo Manufacturing Quality team is driven to develop an Amazon Leo Quality System that is capable of scaling aerospace quality to volume and cost levels to meet end customer needs. Basic Qualifications: - Experience in developing functional specifications, design verification plans and functional test procedures - 3+ years as quality engineer owning performance over high precision assemblies in aerospace applications Preferred Qualifications: - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - Experience in NPI product qualification methods, including RCCA and APQP methods 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, Kirkland - 117,300.00 - 160,000.00 USD annually", "summaryDescription" : "Manufacturing Quality Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Quality Engineering, Satellite Mechanisms, Defect Reduction. Lead as Product QE. Own product performance", "postedDate" : "2026-06-13T12:05:40.427", "createdAt" : "2026-06-13T12:05:40.427", "lastUpdated" : "2026-06-15T04:29:18.187", "ingestTimestamp" : "2026-06-13T12:05:40.427", "mongoId" : "69f9b8024c40e2acd1113f9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410555/apply", "salaryAnnualMin" : 117300, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "High precision assemblies", "Electromechanical hardware", "High cleanliness", "FOD sensitivity", "Tight tolerance", "High criticality attributes", "Quality Engineering", "Satellite Mechanisms", "Defect Reduction", "Process definition", "Process validation", "Part qualification", "Process qualification", "Inspection plans", "Process monitoring", "Defect reduction", "Quality SME", "Yield performance", "Continuous improvement", "Process development", "Product qualification", "Equipment qualification", "Quality Assurance processes", "QMS compliance", "Product requirements compliance", "Process flow diagrams", "PFMEAs", "Control plans", "MSAs", "Project management", "Satellite mechanisms", "AS9100 requirements", "Aerospace quality" ], "skillCount" : 33, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a305788f292fd229cf3ad92", "title" : "Technical Report Specialist", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technical Report Specialist in Charleston, United States, adjusted for the Engineering industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "NHI 130055 “Safety Inspection of In-Service Bridges training”" ], "timestamp" : "2026-06-16T05:31:33.282", "fingerprint" : "3c053c918b40b69c4408d8292ac738081aef24ed0c10b82172a1b00f4a102460", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785153", "externalId" : "785153", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7884363,-79.9399309" }, { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" }, { "city" : "Greenville", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.8513540,-82.3984882" }, { "city" : "Rock Hill", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.9248667,-81.0250784" } ], "locationText" : "Charleston, South Carolina, United States; Columbia, South Carolina, United States; Greenville, South Carolina, United States; Rock Hill, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "technicalSkills" : "Bridge inspection software", "professionalSkills" : [ "Technical writing", "Editing", "Formatting" ], "hardSkillsList" : [ "Bridge inspection reporting" ], "softSkillsList" : [ "Leadership", "Organizational skills" ], "hardSkills" : [ { "name" : "Bridge inspection reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organizational skills" } ], "majorSkills" : "Bridge inspection, Report writing", "majorSkillsList" : [ "Bridge inspection", "Report writing" ], "coreResponsibilities" : "Assist with development of bridge inspection policies, Assist with development of bridge inspection procedures, Assist with finalization of bridge inspection policies, Assist with finalization of bridge inspection procedures, Participate in development of bridge inspection reports, Support national inspection program, Work with subject matter experts, Write technical specifications", "teamCollaboration" : "Work in a team environment; 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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. 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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. HDR Engineering is looking for a Technical Report Specialist to join our South Carolina team. This position may be based out of any of the following HDR offices: Charleston, Columbia, Greenville, and Rock Hill. The Technical Report Specialist will be expected to assist with the development and finalization of Bridge Inspection policies, procedures and Inspection Reports based on information provided by HDR’s multidisciplined Bridge Group of Load Raters, Project Managers, rehab/repair designers, and Inspection teams. In the role of Technical Report Specialist, we'll count on you to: Participate in the development of bridge inspection reports, including the use of specialty software and internally developed tools. Work in a team environment and independently while challenging yourself to acquire knowledge and experience in engineering. Support HDR’s national inspection program on an occasional basis. Work with subject matter experts (engineers, scientists, project managers) to ensure accuracy and clarity of information. Write technical specifications in compliance with project requirements, acceptable standards and existing laws. Preferred Qualifications: Bachelor’s degree or associate degree in civil engineering or a related field. 2+ years’ bridge/structural report writing experience. Completion of NHI 130055 “Safety Inspection of In-Service Bridges training”. Experience with SCDOT bridge inspections according to BIGD and SCDOT load ratings according to LRGD. Experience with ProjectWise, Google Earth, Adobe, and Bluebeam. Exceptional skill in writing, editing, and formatting complex technical documents Strong verbal and written communication skills to effectively collaborate within a team Willing to work with other disciplines (bridge, roadway, hydraulic, construction, planning) within the office, as necessary, during inspection downtime. Ability to work independently and as part of a team. Must have good communication skills and be willing to work in multi-disciplinary team environment. 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Columbia, South Carolina, United States; Greenville, South Carolina, United States; Rock Hill, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "technicalSkills" : "Bridge inspection software", "professionalSkills" : [ "Technical writing", "Editing", "Formatting" ], "hardSkillsList" : [ "Bridge inspection reporting" ], "softSkillsList" : [ "Leadership", "Organizational skills" ], "hardSkills" : [ { "name" : "Bridge inspection reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organizational skills" } ], "majorSkills" : "Bridge inspection, Report writing", "majorSkillsList" : [ "Bridge inspection", "Report writing" ], "coreResponsibilities" : "Assist with development of bridge inspection policies, Assist with development of bridge inspection procedures, Assist with finalization of Bridge Inspection Reports, Participate in development of bridge inspection reports, Support national inspection program, Work with subject matter experts, Write technical specifications", "teamCollaboration" : "Work in a team environment; Work with other disciplines; Work in multi-disciplinary team environment", "domainKnowledge" : "Bridge inspection; Structural report writing; SCDOT bridge inspections; SCDOT load ratings", "domainList" : [ "bridge-inspection", "structural-report-writing", "scdot-bridge-inspections", "scdot-load-ratings" ], "domainSpecificKnowledge" : [ "Bridge inspection", "Structural report writing", "SCDOT bridge inspections", "SCDOT load ratings" ], "toolProficiency" : [ "ProjectWise", "Google Earth", "Adobe", "Bluebeam" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Acquire knowledge and experience in engineering", "qualificationsBasic" : "2+ years bridge/structural report writing experience", "qualificationsPreferred" : "Bachelor's degree or associate degree in civil engineering or a related field, Completion of NHI 130055 “Safety Inspection of In-Service Bridges training”, Experience with SCDOT bridge inspections according to BIGD, Experience with SCDOT load ratings according to LRGD, Local candidates are preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. 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. HDR Engineering is looking for a Technical Report Specialist to join our South Carolina team. This position may be based out of any of the following HDR offices: Charleston, Columbia, Greenville, and Rock Hill. The Technical Report Specialist will be expected to assist with the development and finalization of Bridge Inspection policies, procedures and Inspection Reports based on information provided by HDR’s multidisciplined Bridge Group of Load Raters, Project Managers, rehab/repair designers, and Inspection teams. In the role of Technical Report Specialist, we'll count on you to: Participate in the development of bridge inspection reports, including the use of specialty software and internally developed tools. Work in a team environment and independently while challenging yourself to acquire knowledge and experience in engineering. Support HDR’s national inspection program on an occasional basis. Work with subject matter experts (engineers, scientists, project managers) to ensure accuracy and clarity of information. Write technical specifications in compliance with project requirements, acceptable standards and existing laws. Preferred Qualifications: Bachelor’s degree or associate degree in civil engineering or a related field. 2+ years’ bridge/structural report writing experience. Completion of NHI 130055 “Safety Inspection of In-Service Bridges training”. Experience with SCDOT bridge inspections according to BIGD and SCDOT load ratings according to LRGD. Experience with ProjectWise, Google Earth, Adobe, and Bluebeam. Exceptional skill in writing, editing, and formatting complex technical documents Strong verbal and written communication skills to effectively collaborate within a team Willing to work with other disciplines (bridge, roadway, hydraulic, construction, planning) within the office, as necessary, during inspection downtime. Ability to work independently and as part of a team. Must have good communication skills and be willing to work in multi-disciplinary team environment. 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0.95 }, { "id" : "6a2176c574d8ee00a0c1ad27", "title" : "Supplier Process and Quality Management, Electromechanical Supplier Quality Management", "company" : "Amazon Corporate Services Vietnam Company Limited", "industry" : "Systems, Quality, Security Engineering, Hardware Development, alexa and amazon devices", "salary" : { "min" : 7.5E8, "max" : 1.2E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Electromechanical Supplier Quality Management roles in Hanoi, Vietnam, adjusted for company size and industry." }, "location" : "Hanoi, VNM", "locations" : [ "Hanoi, VNM" ], "certifications" : [ "CQE", "CRE", "Six Sigma Green Belt", "Six Sigma Black Belt", "ISO 9001 Lead Auditor", "IATF 16949 Auditor", "IPC-CIT" ], "timestamp" : "2026-06-15T05:50:08.137", "fingerprint" : "97b9e7c2910880d618661958df582ab36bc34c8c3622299ac417b309dcee6cb1", "source" : "amazon", "language" : "en", "applyUrl" : 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"intermediate" }, { "name" : "REACH compliance", "level" : "intermediate" }, { "name" : "Conflict-minerals compliance", "level" : "intermediate" }, { "name" : "Forced-labor compliance", "level" : "intermediate" }, { "name" : "Climate Pledge compliance", "level" : "intermediate" }, { "name" : "Net-zero compliance", "level" : "intermediate" }, { "name" : "Junior engineer mentoring", "level" : "intermediate" }, { "name" : "Commodity knowledge bases", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Earn Trust" }, { "name" : "Mentoring" } ], "majorSkills" : "Supplier Quality Engineering, Electromechanical Components, New Product Introduction, Quality Tools", "majorSkillsList" : [ "Supplier Quality Engineering", "Electromechanical Components", "New Product Introduction", "Quality Tools" ], "coreResponsibilities" : "Lead NPI quality, Lead supplier qualification audits, Partner on DFM/DFA reviews, Define new manufacturing processes, Drive PPAP submissions, Validate process capability, Validate reliability test results, Own quality gates before mass production, Sustain stable process capability, Monitor SPC data, Identify abnormal trends, Drive continuous-improvement projects, Reduce DPPM, Reduce COPQ, Manage supplier 5M1E changes, Assess quality impact of ECN/PCN, Partner with IQC teams, Partner with Hardware R&D, Partner with Asia Sourcing, Partner with Reliability, Partner with Compliance, Partner with Finance, Drive bidirectional optimization, Establish IQC standards, Establish SCAR routing, Establish escalation paths, Respond to line-down events, Respond to ship-holds, Respond to customer field issues, Drive containment, Drive root-cause analysis, Drive 8D plan, Conduct supplier audits, Train suppliers on SPC, Train suppliers on MSA, Train suppliers on FMEA, Train suppliers on IPC, Maintain commodity quality scorecards, Lead quarterly supplier business reviews, Drive DMAIC improvement projects, Manage ECN/PCN quality impact, Act as change-approval signatory, Respond to crises, Provide 4-hour containment, Provide 24-hour on-site presence, Provide 48-hour return-to-green plan, Provide 8D closure, Align design decisions, Align process decisions, Align supply decisions, Apply Minitab/JMP for SPC, Apply Minitab/JMP for Pareto, Apply Minitab/JMP for Weibull, Apply Minitab/JMP for GR&R, Validate AI output, Drive RoHS compliance, Drive REACH compliance, Drive conflict-minerals compliance, Drive forced-labor compliance, Drive Climate Pledge compliance, Mentor junior engineers, Build commodity knowledge bases", "teamCollaboration" : "Hardware Design; FATP IQC teams; US Hardware R&D; Asia Sourcing; Reliability teams; Compliance teams; Finance teams; Cross-functional teams", "projectManagementSkills" : [ "NPI", "PPAP", "APQP", "DMAIC", "8D" ], "domainKnowledge" : "Electromechanical components; Consumer electronics; Injection molding; Welding processes; Stamping processes; Overmolding processes; Plating processes; Surface 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standards", "ISO 9001", "AI applications", "RoHS", "REACH", "Conflict minerals", "Forced labor", "Climate Pledge", "Net-zero emissions" ], "toolProficiency" : [ "Minitab", "JMP", "SQL", "Python", "AI tools" ], "communicationSkills" : "Cross-language communication; Cross-cultural communication; Business-fluent English; Working-level Vietnamese; Working-level Chinese; Supplier communication; Executive presentations", "documentationSkills" : "8D drafting; Document generation; Technical writing", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis; Troubleshooting; Data analysis", "specialRequirements" : "30%+ travel monthly, Willingness to travel", "outcomesObjectives" : "Reduce DPPM; Reduce COPQ; Achieve 4-hour containment; Achieve 24-hour on-site presence; Achieve 48-hour return-to-green; Close 8D to root cause", "qualificationsBasic" : "Bachelor's degree in Engineering, 5+ years supplier quality experience, 3+ years electromechanical components experience, Hands-on experience with 8D, Hands-on experience with PPAP, Hands-on experience with APQP, Hands-on experience with FMEA, Hands-on experience with SPC, Hands-on experience with MSA, Hands-on experience with GR&R, Working knowledge of IPC, Working knowledge of ISO 9001, Hands-on use of AI tools, Ability to validate AI output, Business-fluent Vietnamese or Chinese, Authorized to work in Vietnam", "qualificationsPreferred" : "Master's degree, 8+ years supplier quality experience, Experience with AIAG FMEA, Experience with Reverse-PFMEA, Experience with Attribute MSA, Reliability engineering experience, High-reliability / aerospace standards knowledge, Python proficiency, SQL proficiency, AWS QuickSight proficiency, Generative AI prompt-engineering, Acoustic testing experience, RF testing experience, Phased-array testing experience, Vietnamese on-site experience, Consumer-electronics OEM background, EMS background", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Devices is expanding its manufacturing and supply chain footprint in Vietnam. We are hiring a Supplier Quality Engineer to take end-to-end ownership of quality for mechanical and electromechanical commodities — including speakers, antennas, cables, connectors, and motors — across a supplier base spanning Vietnam, Mainland China, Taiwan, and the Philippines, supporting product lines such as Amazon Echo smart speakers, Project Leo satellite broadband terminals, Kindle e-readers, and Fire tablets. This role focuses on four core areas of work: - New Product Introduction (NPI): Lead new supplier qualification audits, partner with Hardware Design on DFM/DFA reviews, define new manufacturing processes, drive PPAP submissions, and validate process capability (Cpk/Ppk) and reliability test results — owning every quality gate before mass production - Mass Production: Sustain stable process capability, monitor SPC data and identify abnormal trends early; drive continuous-improvement projects (DMAIC) to reduce DPPM and Cost of Poor Quality (COPQ); manage supplier 5M1E (Man / Machine / Material / Method / Environment / Measurement) changes and quality-impact assessment of ECN/PCN - Cross-functional Collaboration: Partner with Final Assembly Test & Pack (FATP) IQC teams, US headquarters Hardware R&D, Asia Sourcing, Reliability, Compliance, and Finance to drive bidirectional optimization between design and process; establish IQC standards, SCAR routing, and escalation paths - Field Issue Resolution & Crisis Response: Respond rapidly to line-down events, ship-holds, and customer field issues — driving containment, root-cause analysis, and 8D closure; plan ahead for predictable disruptions such as Tết (Lunar New Year), typhoon season, and tariff volatility We are looking for candidates who bring: - A solid technical foundation in electromechanical-component manufacturing and reliability — fluency in injection molding, welding (including ultrasonic and laser), stamping, overmolding, plating, surface finishing, cable termination crimping; familiarity with cosmetic inspection, functional testing, and acoustic / RF testing methods - Hands-on proficiency with core quality tools — 8D, PPAP, APQP, DFMEA/PFMEA, SPC, MSA (including GR&R) — and applied statistical thinking - Working knowledge of industry standards such as IPC (e.g., IPC-A-610, IPC-A-620) and ISO 9001 - The ability to use AI tools effectively to amplify productivity — recognizing where AI is genuinely useful (e.g., 8D drafting, large-scale data analysis, defect classification, document generation, cross-language communication), invoking the right tool for the right context, and critically evaluating the accuracy and reliability of AI output so that final decisions always rest on verifiable evidence - Multilingual collaboration capability — comfortable switching between Vietnamese, English, and Chinese as the situation demands; business-fluent English is required, and at least one of Vietnamese or Chinese for working-level communication - Strong cross-cultural communication, proactive follow-through, and structured problem-solving — embodying Amazon Leadership Principles such as Ownership, Insist on the Highest Standards, and Earn Trust Key job responsibilities - Lead end-to-end NPI quality across XVT gates: supplier qualification, DFM/DFA reviews with Hardware Design, PPAP submission, process-capability (Cpk/Ppk) validation, and reliability test review. - Conduct supplier system and process audits under ISO 9001 and PPAP frameworks; deliver Gap Closure Plans; train key suppliers on SPC, MSA, FMEA, and IPC workmanship. - Maintain commodity quality scorecards (DPPM, audit score, on-time PPAP, field return), lead quarterly supplier business reviews, and drive at least two DMAIC improvement projects per year. - Manage 5M1E changes and ECN/PCN quality-impact assessments as a change-approval signatory. - Respond to crises (line-down, ship-hold, field issues) with 4-hour containment, 24-hour on-site presence, 48-hour return-to-green plan, and 8D closure to root cause. - Partner with US Hardware R&D, APAC Sourcing, FATP IQC, Reliability, Compliance, Legal, and Finance to align design, process, and supply decisions. - Apply Minitab/JMP, SQL, Python, and AI tools for SPC, Pareto, Weibull, and GR&R analyses; rigorously validate AI output before formal use. - Drive RoHS, REACH, conflict-minerals, forced-labor, and Climate Pledge net-zero compliance for assigned commodities. - Mentor junior engineers and supplier engineers; build commodity knowledge bases. About the team We are the supply chain quality team supporting Amazon Devices in Vietnam, managing the supplier network for Echo, Kindle, Fire, and Project Leo. Our mission: every device that leaves the factory lives up to the quality customers expect from Amazon. Our teammates come from Vietnam, Mainland China, Taiwan, Malaysia, India, and the US. Written work is in English; on the factory floor we shift fluidly among Vietnamese, English, and Chinese. We believe data beats intuition, suppliers are partners not adversaries, writing clarifies thinking, AI amplifies but never replaces judgment, and proactive planning beats reactive firefighting. Basic Qualifications: - Bachelor's degree in Mechanical, Electrical, Materials, Industrial, or Manufacturing Engineering, or related technical field. - 5+ years in supplier quality, process engineering, or a related engineering role in consumer electronics or electromechanical components. - 3+ years hands-on with at least two of: speakers, antennas, cables, connectors, motors. - Hands-on experience with 8D, PPAP, APQP, FMEA, SPC, MSA (including GR&R). - Working knowledge of IPC (e.g., IPC-A-610 / IPC-A-620) and ISO 9001. - Hands-on use of AI tools with ability to validate output reliability. - Business-fluent English; working-level proficiency in Vietnamese or Chinese. - - Bachelor's degree in Mechanical, Electrical, Materials, Industrial, or Manufacturing Engineering, or related technical field. - - 5+ years in supplier quality, process engineering, or a related role in consumer electronics or electromechanical components. - - 3+ years hands-on with at least two of: speakers, antennas, cables, connectors, motors. - - Hands-on experience with 8D, PPAP, APQP, FMEA, SPC, MSA (including GR&R). - - Working knowledge of IPC (e.g., IPC-A-610 / IPC-A-620) and ISO 9001. - - Hands-on use of AI tools with ability to validate output reliability. - - Business-fluent English; working-level proficiency in Vietnamese or Chinese. - - Willingness to travel 30%+ monthly. - - Authorized to work in Vietnam. Preferred Qualifications: - Master's degree in a related engineering field; 8+ years in supplier quality or process engineering. - Certifications: CQE, CRE, Six Sigma Green/Black Belt, ISO 9001 Lead Auditor, IATF 16949 Auditor, or IPC-CIT. - Led an end-to-end NPI program (EVT → MP); experience with AIAG FMEA (AP rating), Reverse-PFMEA, Attribute MSA. - Reliability engineering: HALT/HASS, ALT, Weibull, MTBF. - High-reliability / aerospace standards: AS9100D, AS6081, J-STD-001 Space Addendum, MIL-STD-810/883. - Python, SQL, AWS QuickSight or equivalent; fluent prompt-engineering use of generative AI with output verification. - Acoustic, RF, or phased-array testing experience. - Vietnamese ability; on-site experience in Southeast Asia or Greater China; consumer-electronics OEM or EMS background. 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" : "Supplier Process and Quality Management, Electromechanical Supplier Quality Management at Amazon Corporate Services Vietnam Company Limited. Skills: Supplier Quality Engineering, Electromechanical Components, New Product Introduction, Quality Tools. Lead NPI quality. 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"id" : "68e0a7e2ce260f92cbf8e980", "title" : "Sr. Manufacturing Quality Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 128600.0, "max" : 213600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, USA", "locations" : [ "Kirkland, Washington, USA" ], "certifications" : [ "Six Sigma Green Belt", "Six Sigma Black Belt" ], "timestamp" : "2026-06-16T04:56:15.917", "fingerprint" : "17d8865b5daf4c24e8ca87b6f9bb5f02661e226d53ae836834f5eb9f61d0e93e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101050/apply", "externalId" : "0c357093-218e-4764-ac9c-01c0f182f8e0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], 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"majorSkillsList" : [ "Manufacturing Quality", "Quality Systems", "Process Improvement" ], "coreResponsibilities" : "Develop and implement quality control plans, Monitor manufacturing processes for quality, Analyze quality data and identify trends, Lead root cause analysis investigations, Implement corrective and preventive actions, Conduct internal audits of manufacturing processes, Collaborate with cross-functional teams, Support new product introduction, Manage supplier quality issues, Ensure compliance with quality standards", "teamCollaboration" : "Cross-functional teams; Manufacturing operations; Engineering teams; Supplier teams", "projectManagementSkills" : [ "Project planning", "Risk management" ], "domainKnowledge" : "Manufacturing processes; Quality engineering; Statistical methods; Quality management systems; Lean principles; Six Sigma principles", "domainList" : [ "manufacturing-processes", "quality-engineering", "statistical-methods", "quality-management-systems", 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"qualificationsPreferred" : "Master's degree in a relevant field, Experience with Six Sigma methodologies, Experience with Lean Manufacturing principles, Experience with ISO 9001, Experience with automotive quality standards, Experience with supplier quality management, Experience with new product introduction (NPI)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Sr. Mfg Quality Engineer, you will have the opportunity to own product performance for some of the most critical sub-assemblies of the satellite, delivering creative solutions to reduce defects, and planning to prevent defects using technical quality skills. 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 • Lead as Product QE over satellite mechanism assemblies, including process definition and validation for assembly and test methods, part and process qualification, inspection plans, in-process inspection capabilities, and process monitoring. • Lead MRB discussions determine product dispositions for nonconforming material. • Dive deep into defect reduction activities for the mechanism subassemblies, and drive innovative solutions to prevent recurrence of defects. • Work directly with Inspection, Supplier Quality, and Engineering teams to develop and qualify inspection, monitoring, and verification methods for the Kuiper Production System all through the production system and ensure a no defect mentality • Be a Quality SME for the mechanisms sub-assemblies, owning defect reduction, reporting, and overall quality performance of the mechanism subassemblies, including electromechanical hardware, high cleanliness/FOD sensitivity, tight tolerance & high precision machined parts, high criticality attributes • Lead and develop new and novel process mechanisms for cross functional production system teams. A day in the life • Own yield performance for the mechanisms subassemblies, setting up monitoring systems using production data, and leading projects to creatively deliver solutions to recurring issues in production • Investigates Production System issues to reduce defect rates and drive root cause corrective actions, and continuous improvement projects • Implements the Kuiper Quality System through process development and launch mechanisms across teams similar to AS9100 requirements • Own and report out on product performance to quality and manufacturing leadership. • Partners with cross-functional groups to develop and qualify product, processes, and equipment, including Quality Assurance processes • Perform audits to ensure compliance to QMS and product requirements. • Develop and modify process flow diagrams, PFMEAs, control plans, MSAs, and other APQP artifacts related to satellite mechanisms. About the team The Kuiper Manufacturing Quality team is driven to deliver high-quality product lines while maintaining a fast production rate. This position will join the team at an exciting moment, with an opportunity to directly own the quality outputs of some of our critical sub-systems Basic Qualifications: - Experience in developing functional specifications, design verification plans and functional test procedures - 7+ years as quality engineer owning performance over high precision assemblies Preferred Qualifications: - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - Experience in NPI product qualification methods, including RCCA and APQP methods - QE experience with aerospace applications 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 $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Manufacturing Quality Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Manufacturing Quality, Quality Systems, Process Improvement. Develop and implement quality control plans. 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City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. Position Summary The Chief Quality Officer (CQO) is a senior executive leader responsible for advancing clinical excellence, patient safety, and high-reliability performance across the City of Hope system. Reporting to the System Chief Operating Officer, this role sets and executes a unified, enterprise-wide quality strategy to ensure safe, equitable, and evidence-based care. The CQO serves as the principal clinical quality expert and strategic advisor to executive leadership and the Board, integrating quality, safety, regulatory readiness, analytics, and continuous improvement into the organization’s operating model. This leader partners closely with physicians, nursing, operational, and academic leaders to translate strategy into measurable outcomes across all care settings. As a successful candidate, you will: Lead System Quality Strategy & Alignment Establish and execute a national quality and patient safety strategy aligned with organizational goals Define systemwide priorities, standards, and performance targets Embed quality and safety into enterprise-wide strategic decision-making Drive Leadership, Culture & Engagement Elevate clinical outcomes and reduce preventable harm Build strong partnerships with physician, nursing, and operational leaders Mentor and develop future leaders in quality and patient safety Foster a culture of transparency, collaboration, and continuous learning Represent the organization in national quality forums and associations Advance Quality Standards & Performance Improvement Oversee quality standards, governance structures, and performance scorecards Lead systemwide initiatives to reduce variation and improve care reliability Implement evidence-based practices, clinical pathways, and outcome measurement Identify gaps and drive targeted improvement strategies Champion Data, Analytics & Digital Transformation Direct system quality analytics strategy, including governance and data integrity Advance dashboards, predictive models, and real-time safety monitoring tools Partner with technology teams to leverage AI and advanced analytics responsibly Ensure ethical and equitable use of digital tools in clinical workflows Ensure Regulatory Excellence & Governance Maintain compliance with CMS, The Joint Commission, and other regulatory bodies Lead systemwide survey readiness and risk mitigation strategies Advise executive leadership and the Board on quality and safety performance Monitor external ratings and benchmarks Strengthen Patient Safety & High Reliability Lead enterprise patient safety programs and serious event response Drive root cause analysis and system-level learning Promote high-reliability principles and a just culture Embed safety practices into daily operations and leadership expectations *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-WEB:8c584e2b-277e-4307-b1a9-e8f8484098b7-0\" data-testid=\"conversation-turn-2\" data-scroll-anchor=\"true\" data-turn=\"assistant\"> Your qualifications should include: Advanced degree (PhD, MD, MSN, or equivalent) Minimum of 10 years of experience in quality, quality improvement, and patient safety within a complex health system, including at least 5 years in an executive leadership role Certification in quality (CPHQ) Preferred: Master’s degree in public health, business administration, or related field Clinical licensure (MD, DO, RN, PharmD, CLS) Experience in large, multi-site academic medical centers Key Skills & Abilities: Proven executive leadership in complex healthcare systems Ability to translate strategy into measurable, sustained outcomes Strong analytical and data-driven decision-making capabilities Exceptional communication skills with executive presence Demonstrated success leading in matrixed environments Expertise in change management and organizational transformation Ability to collaborate across clinical, operational, academic, and technology domains City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. Position overview The System Engineer is responsible for end-to-end system-level quality, integrating cross-functional components, and ensuring efficient issue resolution and continuous system improvement. This role bridges triage, development, and validation, evolving from issue handling to system ownership and optimization. Role responsibilities - System-Level Ownership - Own system behavior across modules (perception, planning, control, etc.) - Understand and manage cross-component dependencies and interfaces - Advanced Triage & Root Cause Analysis - Lead complex issue investigations beyond surface-level triage - Drive root cause analysis across software, data, and system interactions - Ensure high-quality and timely resolution of critical issues - Cross-Functional Coordination - Act as the central point between engineering, testing, and operations teams - Align priorities and drive resolution across multiple stakeholders - System Quality & Process Improvement - Identify systemic issues and recurring patterns - Improve triage workflows, feedback loops, and system robustness - Propose and implement scalable solutions (not just case-by-case fixes) - Data-Driven Decision Making - Use logs, metrics, and field data to diagnose issues and guide improvements - Define KPIs for system performance and triage efficiency - Technical Leadership (Emerging) - Influence system design decisions based on real-world issues - Contribute to architecture discussions and quality strategy Required experience - Strong system thinking and ability to understand complex, integrated systems - Experience in debugging, triage, or system integration (AV or similar complex systems preferred) - Ability to work across teams and drive alignment - Strong analytical and problem-solving skills - Familiarity with logs analysis, data pipelines, and debugging tools SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Senior System Quality Engineer at Venti Technologies. Skills: System quality, Triage, Root cause analysis, Cross-functional coordination. Own system behavior. Manage cross-component dependencies", "createdAt" : "2026-06-14T04:58:52.397", "lastUpdated" : "2026-06-15T13:50:40.010", "ingestTimestamp" : "2026-06-14T04:58:52.397", "mongoId" : "6a2c771b74d8ee00a093bc12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Root cause analysis", "Logs analysis", "Data pipelines", "System quality", "Triage", "Cross-functional coordination", "System ownership", "Issue resolution", "Process improvement", "Data analysis", "Autonomous vehicles", "Logistics systems", "Robotic vehicles" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931a27", "title" : "Senior BD - Process Manufacturing", "company" : "AWS India", "industry" : "Sales, Advertising, Account Management, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior BD roles in Technology in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-14T23:43:57.105", "fingerprint" : "3d95f7e6399276cd1da6c61d749c5af124f96634ffaa3077f6e8a22add1b7803", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384889/apply", "externalId" : "571e949b-49e2-44bc-a141-5eb0ea24ea5d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cloud, AI", "professionalSkills" : [ "Business development", "Sales", "End-customer technology adoption", "Technology solutions", "Value chain systems", "Business functions", "Technology solutions", "System integrators", "Solutions vendors", "Service offerings", "Sales acceleration", "Service offerings", "Solutioning", "Partner network" ], "hardSkillsList" : [ "Process optimization", "Energy management", "Safety monitoring", "Compliance monitoring", "Mine-to-market operations", "Program oversight", "Commercial exposure", "Business case creation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Energy management", "level" : "intermediate" }, { "name" : "Safety monitoring", "level" : "intermediate" }, { "name" : "Compliance monitoring", "level" : "intermediate" }, { "name" : "Mine-to-market operations", "level" : "intermediate" }, { "name" : "Program oversight", "level" : "intermediate" }, { "name" : "Commercial exposure", "level" : "intermediate" }, { "name" : "Business case creation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business development, Sales, Manufacturing Process Industry", "majorSkillsList" : [ "Business development", "Sales", "Manufacturing Process Industry" ], "coreResponsibilities" : "Position AWS as partner, Coach account teams, Define strategic direction, Lead pre-sales activities, Support lead-generation activities, Influence downstream activities, Identify requirements for offerings, Define requirements for offerings, Conduct executive workshops, Translate into priority areas, Position AWS in industries, Participate in conferences, Deliver AWS-based solutions, Support AWS Partner Network, Support technology providers, Understand Salesforce usage, Manage pipeline, Prepare business reviews, Present business reviews, Define strategic direction, Engage strategic stakeholders, Co-create transformation roadmaps, Lead pre-sales activities, Support lead-generation activities, Influence downstream activities", "teamCollaboration" : "Cross-functional teams; People at all levels; AWS Marketing; AWS Professional Services; AWS services teams; Partners; Amazon product teams; AWS technical experts; AWS Partner Network; Industry technology providers", "projectManagementSkills" : [ "Program oversight", "Commercial exposure", "Business case creation" ], "domainKnowledge" : "Manufacturing Process Industry; Production planning; Asset management; Quality control; Supply chain optimization; Operational technology (OT); Predictive maintenance; Process optimization; Energy management; Safety monitoring; Compliance monitoring; Mine-to-market operations; Cloud technologies; MES; SCADA; PLCs; Industrial IoT", "domainList" : [ "manufacturing-process-industry", "production-planning", "asset-management", "quality-control", "supply-chain-optimization", "operational-technology-ot", "predictive-maintenance", "process-optimization", "energy-management", "safety-monitoring", "compliance-monitoring", "mine-to-market-operations", "cloud-technologies", "mes", "scada", "plcs", "industrial-iot" ], "domainSpecificKnowledge" : [ "Manufacturing Process Industry", "Production planning", "Asset management", "Quality control", "Supply chain optimization", "Operational technology (OT)", "Predictive maintenance", "Process optimization", "Energy management", "Safety monitoring", "Compliance monitoring", "Mine-to-market operations", "Cloud technologies", "MES", "SCADA", "PLCs", "Industrial IoT" ], "toolProficiency" : [ "Salesforce", "Internal Amazon systems" ], "communicationSkills" : "Executive presentations; Public speaking", "specialRequirements" : "Up to 50% travel", "qualificationsBasic" : "10+ years technology sales/BD, Bachelor's degree or equivalent, Experience verbal/written communication, Experience working cross-functional teams, 5+ years customer interactions, Demonstrated understanding Manufacturing workflows, Demonstrated understanding cloud technologies", "qualificationsPreferred" : "10+ years business development/partnership management, MBA or relevant Bachelor's, Experience selling cloud solutions, Direct professional services/consulting experience, Knowledge of top ISVs/SIs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, and the leader in providing secure, reliable, scalable, and innovative cloud services that help more than a million businesses across the global scale and grow. We are expanding in several areas, and our Industry team in India is looking for a seasoned industry leader with experience in business development/sales, driving top line growth and overall end-customer technology adoption across Manufacturing Process Industries including Metals, Mining, Minerals and related sectors. The ideal candidates will possess a strong business development/sales background and Manufacturing Process Industry technology experience that will enable them to engage directly with customers, coach sales teams, and lead tactical and strategic initiatives to deliver innovative solutions to the Manufacturing Process Industry. The ideal candidate will have demonstrated experience in designing and deploying technology solutions that support multiple areas within the Manufacturing Process Industry technology landscape. • Knowledge of the critical systems needed to support the Manufacturing Process Industry across the value chain including production planning, asset management, quality control, supply chain optimization, and operational technology (OT) systems. • Understanding of the workflows needed to support the various business functions within Manufacturing Process Industries including predictive maintenance, process optimization, energy management, safety and compliance monitoring, and mine-to-market operations. • Understanding of the business, technical, and operations needs of Manufacturing Process Industry customers in India, with ability to translate into technology solutions powered by cloud and AI. • Relationships with, and an understanding of, key system integrators and independent solutions vendors in the Manufacturing Process Industry, to include an understanding of top named ISV solutions, and SI-led service offerings. Key job responsibilities Effectively position AWS as a strategic and trusted partner to our India Manufacturing Process Industry customers. Coach account teams and help define the strategic direction for top accounts, with a focus on line-of-business solutions and business sponsors. Lead pre-sales activities for Manufacturing Process Industry accounts, work with AWS Marketing to support lead-generation and sales-acceleration activities, and influence downstream activities with global and multi-national customers. Identify and help define the requirements for new service or packaged offerings, in collaboration with the Manufacturing Process Industry Market Development team, AWS Professional Services, AWS services teams, partners, and Amazon product teams. Conduct executive workshops with industry leaders and executives and translate into priority areas for transformation and innovation. Effectively position AWS in Manufacturing Process Industries through participation in industry conferences, executive briefings, and other public speaking opportunities. Work closely with AWS technical experts in solutioning, developing, and delivering AWS-based solutions to customers. Support the AWS Partner Network and key industry technology providers with their solutions and service line offerings developed and running on AWS. Understand and exploit the use of Salesforce and internal Amazon systems for campaign tracking and pipeline management. Prepare and present business reviews to senior management regarding progress and roadblocks. Travel may be required for this role, up to 50%. A day in the life Define the strategic direction for top Manufacturing Process Industry accounts, with a focus on line-of-business solutions and business sponsors. Identify and Engage with strategic stakeholder in priority accounts with aim to engage them on business critical challenges and co-create transformation roadmaps that align AWS capabilities with their strategic priorities. Lead pre-sales activities for Manufacturing Process Industry accounts, work with AWS Marketing to support lead-generation and sales-acceleration activities, and influence downstream activities with global and multi-national customers. Basic Qualifications: - 10+ years of technology related sales, business development or equivalent experience - Bachelor's degree in a relevant field or equivalent work experience - Experience in verbal and written communication for executive level leaders - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - 5+ years of experience in customer-related interactions (presentations, building relationships, structuring and providing program oversight, working with partners, statements of work/commercial exposure, business case creation and presentation, and technical pre-sales). - Demonstrated understanding of Manufacturing Process Industry workflows or value chains, and related technologies including MES, SCADA, PLCs, and Industrial IoT. - Demonstrated understanding of cloud technologies, and their current or future application in Manufacturing Process Industries. Preferred Qualifications: - 10+ years of business development, partnership management, or sourcing new business experience - MBA, or Bachelor's degree in management, business administration, economics, engineering, marketing - Experience selling cloud solutions - Direct professional services or consulting experience in large-scale transformation programs for leading Manufacturing Process Industry companies in India. - Knowledge of the top ISVs and SIs in the Manufacturing Process Industry and their relevant offerings 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" : "Senior BD - Process Manufacturing at AWS India. Skills: Business development, Sales, Manufacturing Process Industry. Position AWS as partner. Coach account teams", "postedDate" : "2026-06-13T07:48:05.008", "createdAt" : "2026-06-13T07:48:05.008", "lastUpdated" : "2026-06-14T23:43:57.105", "ingestTimestamp" : "2026-06-13T07:48:05.008", "mongoId" : "69d5e4972beec4dd3d931a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384889/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Process optimization", "Energy management", "Safety monitoring", "Compliance monitoring", "Mine-to-market operations", "Program oversight", "Commercial exposure", "Business case creation", "Leadership", "Business development", "Sales", "Manufacturing Process Industry", "End-customer technology adoption", "Technology solutions", "Value chain systems", "Business functions", "System integrators", "Solutions vendors", "Service offerings", "Sales acceleration", "Solutioning", "Partner network", "Production planning", "Asset management", "Quality control", "Supply chain optimization", "Operational technology (OT)", "Predictive maintenance", "Cloud technologies", "MES", "SCADA", "PLCs", "Industrial IoT", "Salesforce", "Internal Amazon systems" ], "skillCount" : 35, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing Process Industries" }, { "id" : "6a2cc3ba74d8ee00a0a0a570", "title" : "Sr. Manufacturing Engineer - Process Quality, Hardware Engineering", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 159200.0, "max" : 215300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T13:26:04.333", "fingerprint" : "9a32822fc369ea42357a26dd1a216d40f9cdf663a093deeace3a88385e0470bf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10447342/apply", "externalId" : "a849720f-915e-460e-a23c-bd83aead7929", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Hardware Engineering, Software Development, Cloud Computing, Process Engineering", "professionalSkills" : [ "Process quality", "Root cause analysis", "Technical support", "Manufacturing launch" ], "hardSkillsList" : [ "PFMEAs", "Control Plans", "Process flows" ], "hardSkills" : [ { "name" : "PFMEAs", "level" : "intermediate" }, { "name" : "Control Plans", "level" : "intermediate" }, { "name" : "Process flows", "level" : "intermediate" } ], "majorSkills" : "Process Quality, Manufacturing Engineering, Hardware Engineering", "majorSkillsList" : [ "Process Quality", "Manufacturing Engineering", "Hardware Engineering" ], "coreResponsibilities" : "Scale up manufacturing, Oversee quality control, Deliver technical support, Investigate escalations, Resolve customer escalations, Support global operations", "teamCollaboration" : "ODMs; CMs; AWS hardware teams; AWS software teams; Component vendors; Cross-functional teams", "domainKnowledge" : "Cloud computing platform; International manufacturing; Production environment; Product lifecycle", "domainList" : [ "cloud-computing-platform", "international-manufacturing", "production-environment", "product-lifecycle" ], "domainSpecificKnowledge" : [ "Cloud computing platform", "International manufacturing", "Production environment", "Product lifecycle" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "25-50% travel", "outcomesObjectives" : "Achieve throughput targets; Achieve quality targets", "qualificationsBasic" : "6+ years manufacturing operations experience, Bachelor's degree or equivalent experience, 2+ years Manufacturing Engineering experience", "qualificationsPreferred" : "Master's degree in Engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services’ Hardware Engineering team is looking for experienced professionals to help build the world’s premier cloud computing platform. We are looking for Manufacturing Engineers who are capable of operating in a fast paced, ever changing, multi-platform international manufacturing and production environment. Our Process Quality team works closely with our ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to scale up manufacturing processes and ensure we can achieve our throughput and quality targets. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production scaled across a global network. You will own PFMEAs, Control Plans and process flows from startup through the end of life of the product. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Scale up manufacturing on new products across a global network. Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors Deliver hands-on technical support during new product introductions and launches Investigate and resolve customer escalations through comprehensive root cause analysis Support global operations through regular domestic and international travel (25-50% of time) Basic Qualifications: - 6+ years of high volume manufacturing operations or sourcing environments experience - Bachelor's or Master’s degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience. - 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware - 5+ years of product development experience Preferred Qualifications: - - Experience working with interdisciplinary teams to execute product design from concept to production - - Experience with the project management of technical projects 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, TX, Austin - 159,200.00 - 215,300.00 USD annually USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually", "summaryDescription" : "Sr. Manufacturing Engineer - Process Quality, Hardware Engineering at Amazon Development Center U.S., Inc.. Skills: Process Quality, Manufacturing Engineering, Hardware Engineering. Scale up manufacturing. Oversee quality control", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T09:48:47.698", "lastUpdated" : "2026-06-15T13:26:04.333", "ingestTimestamp" : "2026-06-14T09:48:47.698", "mongoId" : "6a2cc3ba74d8ee00a0a0a570", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447342/apply", "salaryAnnualMin" : 159200, "salaryAnnualMax" : 215300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "PFMEAs", "Control Plans", "Process flows", "Process Quality", "Manufacturing Engineering", "Hardware Engineering", "Process quality", "Root cause analysis", "Technical support", "Manufacturing launch", "Cloud computing platform", "International manufacturing", "Production environment", "Product lifecycle" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc3ba74d8ee00a0a0a566", "title" : "Sr. Manufacturing Engineer - Process Quality, Hardware Engineering", "company" : "Amazon Development Centre Ireland Limited", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Manufacturing Engineer in Dublin, Ireland, adjusted for the technology industry and large company size." }, "location" : "Dublin, IRL", "locations" : [ "Dublin, IRL" ], "timestamp" : "2026-06-15T08:48:17.807", "fingerprint" : "b9ff2c3134c274816b431a39d2264c1a0663f14a612b11ac4d8d4b41af7f8bba", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10447350/apply", "externalId" : "a95c0267-0e98-480e-a28d-5f335f3cdbcf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Hardware Engineering, Software Development, DevOps, Cloud, AI/ML, Data Engineering, Generative AI, Foundation models", "professionalSkills" : [ "Process Quality", "Root cause analysis", "Product launch", "Process scaling", "Technical support", "Global operations" ], "hardSkillsList" : [ "PFMEAs", "Control Plans", "Process flows" ], "hardSkills" : [ { "name" : "PFMEAs", "level" : "intermediate" }, { "name" : "Control Plans", "level" : "intermediate" }, { "name" : "Process flows", "level" : "intermediate" } ], "majorSkills" : "Manufacturing Engineering, Process Quality, Hardware Engineering", "majorSkillsList" : [ "Manufacturing Engineering", "Process Quality", "Hardware Engineering" ], "coreResponsibilities" : "Scale up manufacturing, Oversee quality control, Deliver technical support, Investigate escalations, Resolve customer escalations, Support global operations", "teamCollaboration" : "ODMs; CMs; Internal AWS teams; Component vendors; Software engineers; Hardware engineers; Network engineers; Supply chain specialists; Security experts; Operations managers", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Cloud computing platform; High volume manufacturing; Server platforms; High-tech hardware; Product development; Utility Computing; Compute services; Database services; Storage services; Internet of Things; Platform services; Productivity Apps; Specialized security solutions", "domainList" : [ "cloud-computing-platform", "high-volume-manufacturing", "server-platforms", "high-tech-hardware", "product-development", "utility-computing", "compute-services", "database-services", "storage-services", "internet-of-things", "platform-services", "productivity-apps", "specialized-security-solutions" ], "domainSpecificKnowledge" : [ "Cloud computing platform", "High volume manufacturing", "Server platforms", "High-tech hardware", "Product development", "Utility Computing", "Compute services", "Database services", "Storage services", "Internet of Things", "Platform services", "Productivity Apps", "Specialized security solutions" ], "innovationCreativity" : "Explore new technologies; Find creative solutions", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "25-50% travel", "outcomesObjectives" : "Achieve throughput targets; Achieve quality targets", "qualificationsBasic" : "6+ years manufacturing operations experience, Bachelor's degree or equivalent experience, 2+ years server platforms experience, 5+ years product development experience", "qualificationsPreferred" : "Experience with interdisciplinary teams, Experience with project management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services’ Hardware Engineering team is looking for experienced professionals to help build the world’s premier cloud computing platform. We are looking for Manufacturing Engineers who are capable of operating in a fast paced, ever changing, multi-platform international manufacturing and production environment. Our Process Quality team works closely with our ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to scale up manufacturing processes and ensure we can achieve our throughput and quality targets. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production scaled across a global network. You will own PFMEAs, Control Plans and process flows from startup through the end of life of the product. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Scale up manufacturing on new products across a global network. Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors Deliver hands-on technical support during new product introductions and launches Investigate and resolve customer escalations through comprehensive root cause analysis Support global operations through regular domestic and international travel (25-50% of time) 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. About the team You would work on the Amazon Web Services (AWS) Developer Tools org where we are going to use generative AI and foundation models to re-imagine the experience of all builders on AWS. From the IDE to web based tools and services AI will help engineers to work on large and small applications. In this team we have to explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place to impact the life of engineers around the world. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. 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 & 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 6+ years of high volume manufacturing operations or sourcing environments experience - Bachelor's or Master’s degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience. - 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware - 5+ years of product development experience Preferred Qualifications: - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects 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. 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" : "Sr. Manufacturing Engineer - Process Quality, Hardware Engineering at Amazon Development Centre Ireland Limited. Skills: Manufacturing Engineering, Process Quality, Hardware Engineering. Scale up manufacturing. Oversee quality control", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T02:06:20.317", "lastUpdated" : "2026-06-15T08:48:17.807", "ingestTimestamp" : "2026-06-14T02:06:20.317", "mongoId" : "6a2cc3ba74d8ee00a0a0a566", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447350/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "PFMEAs", "Control Plans", "Process flows", "Manufacturing Engineering", "Process Quality", "Hardware Engineering", "Root cause analysis", "Product launch", "Process scaling", "Technical support", "Global operations", "Project management", "Cloud computing platform", "High volume manufacturing", "Server platforms", "High-tech hardware", "Product development", "Utility Computing", "Compute services", "Database services", "Storage services", "Internet of Things", "Platform services", "Productivity Apps", "Specialized security solutions" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6af374d8ee00a090f628", "title" : "Data Quality Data Analyst", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Quality Data Analyst in Krakow, Poland, with adjustments for the consulting industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T00:55:31.423", "fingerprint" : "5c743ab6cde29550097dbad4c3616808091c0f263e1d975fe2d8a6eeb23d1234", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8002462", "externalId" : "8002462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0619474,19.9368564" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Krakow, Poland; Warsaw, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data manipulation", "Root cause analysis" ], "hardSkillsList" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation" ], "hardSkills" : [ { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data joining", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data Quality, Data analysis, SQL", "majorSkillsList" : [ "Data Quality", "Data analysis", "SQL" ], "coreResponsibilities" : "Support Data Quality initiatives, Analyze datasets, Understand datasets, Assess datasets, Identify data quality issues, Identify opportunities for improvement, Perform data extraction, Perform data transformation, Perform data joining, Perform data manipulation, Contribute to DRR decommissioning process, Ensure data integrity, Ensure data continuity, Collaborate with business stakeholders, Collaborate with data engineers, Collaborate with technology teams, Define data solutions, Implement data solutions, Conduct data validation, Conduct data reconciliation, Conduct root cause analysis, Document data flows, Document data quality controls, Document analytical findings", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with data engineers; Collaborate with technology teams", "domainKnowledge" : "Financial services; Banking; Credit; Credit domain", "domainList" : [ "financial-services", "banking", "credit", "credit-domain" ], "domainSpecificKnowledge" : [ "Financial services", "Banking", "Credit", "Credit domain" ], "toolProficiency" : [ "Jupyter Notebooks" ], "communicationSkills" : "Communicate technical findings", "documentationSkills" : "Document data flows; Document data quality controls; Document analytical findings", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities; Root cause analysis", "qualificationsBasic" : "Experience in Data Quality, Data analysis roles, Understand, join, transform, and manipulate datasets, Advanced SQL, Data querying skills, Python, Jupyter Notebooks, Analytical and problem-solving capabilities, Ability to communicate technical findings", "qualificationsPreferred" : "Experience with Prophecy, Data migration experience, Application decommissioning experience, System retirement projects experience, Knowledge of data governance, Data quality frameworks knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "Data Analyst – Data Quality (Financial services/Credit) Location: Krakow or Warsaw preferred Capco a Wipro Company Capco a Wipro Company is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent. Role Overview We are seeking an experienced Data Analyst with strong Data Quality (DQ) expertise to join us. The successful candidate will initially focus on data quality initiatives and will gradually transition into supporting the DRR decommissioning (demise) process. This role requires strong analytical skills, hands-on data manipulation experience, and the ability to work with complex datasets across multiple sources. Key Responsibilities Support Data Quality (DQ) initiatives within the Credit domain. Analyze, understand, and assess large and complex datasets to identify data quality issues and opportunities for improvement. Perform data extraction, transformation, joining, and manipulation activities to support business and regulatory requirements. Contribute to the DRR decommissioning process, ensuring data integrity and continuity throughout the transition. Collaborate with business stakeholders, data engineers, and technology teams to define and implement data solutions. Conduct data validation, reconciliation, and root cause analysis activities. Document data flows, data quality controls, and analytical findings. Required Skills & Experience Strong experience in Data Quality and data analysis roles. Proven ability to understand, join, transform, and manipulate datasets from multiple sources. Advanced SQL and data querying skills. Hands-on experience with Python, particularly using Jupyter Notebooks for data analysis and exploration. Strong analytical and problem-solving capabilities. Experience working within financial services, banking, or credit-related domains is highly desirable. Ability to communicate technical findings effectively to both technical and non-technical stakeholders. Preferred Skills Experience with Prophecy would be advantageous. Exposure to data migration, application decommissioning, or system retirement projects. Knowledge of data governance and data quality frameworks. Candidate Profile Strong Data Quality practitioner with a data-focused mindset. Comfortable working independently and managing complex analytical tasks. Detail-oriented with a strong focus on data accuracy and integrity. Proactive, collaborative, and adaptable in a changing project environment. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: HR Interview Hiring Manager Technical Interview Client Interview Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-Hybrid", "summaryDescription" : "Data Quality Data Analyst at Capco. Skills: Data Quality, Data analysis, SQL. Support Data Quality initiatives. Analyze datasets", "postedDate" : "2026-06-14T20:08:06.986", "createdAt" : "2026-06-14T20:08:06.986", "lastUpdated" : "2026-06-16T00:55:31.423", "ingestTimestamp" : "2026-06-14T20:08:06.986", "mongoId" : "6a2c6af374d8ee00a090f628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation", "SQL", "Root cause analysis", "Financial services", "Banking", "Credit", "Credit domain", "Jupyter Notebooks" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21ad3674d8ee00a0cc253f", "title" : "Product Quality Engineer, Robotics Manufacturing and Technical Operations", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, subsidiaries", "salary" : { "min" : 96000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Westboro, Wisconsin, USA", "locations" : [ "Westboro, Wisconsin, USA" ], "certifications" : [ "Six Sigma Green Belt", "Six Sigma Black Belt" ], "timestamp" : "2026-06-16T02:47:51.761", "fingerprint" : "032e8302a5da2d4f3f7e078a3e07aed96097c689f30dbc8283b9c12065684f84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439936/apply", "externalId" : "60bc3cdc-cee4-4bc0-ab9c-27b2b1d1ea79", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westboro", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3535698,-90.2967575" } ], "locationText" : "Westboro, Wisconsin, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Statistical analysis, Data analysis, Quality management systems, Root cause analysis, Statistical process control", "professionalSkills" : [ "Problem solving", "Analytical thinking", "Process improvement" ], "hardSkillsList" : [ "Quality engineering", "Statistical analysis", "Process control", "Root cause analysis" ], "hardSkills" : [ { "name" : "Quality engineering", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Process control", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Quality engineering, Robotics manufacturing, Statistical process control", "majorSkillsList" : [ "Quality engineering", "Robotics manufacturing", "Statistical process control" ], "coreResponsibilities" : "Develop and implement quality control processes, Monitor manufacturing processes, Analyze quality data, Identify and resolve quality issues, Conduct root cause analysis, Implement corrective and preventive actions, Support product development lifecycle, Ensure compliance with quality standards, Collaborate with cross-functional teams, Prepare quality reports", "teamCollaboration" : "Cross-functional teams; Manufacturing operations; Engineering teams", "projectManagementSkills" : [ "Project planning", "Risk management" ], "domainKnowledge" : "Robotics manufacturing; Quality management systems; Statistical process control; Root cause analysis", "domainList" : [ "robotics-manufacturing", "quality-management-systems", "statistical-process-control", "root-cause-analysis" ], "domainSpecificKnowledge" : [ "Robotics manufacturing", "Quality management systems", "Statistical process control", "Root cause analysis" ], "toolProficiency" : [ "JIRA", "Confluence", "Minitab" ], "communicationSkills" : "Technical reports; Presentations", "documentationSkills" : "Quality documentation; Process documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data analysis", "outcomesObjectives" : "Improve product quality; Reduce manufacturing defects; Ensure compliance", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in quality engineering, Experience with quality management systems, Experience with statistical process control (SPC), Experience with root cause analysis (RCA)", "qualificationsPreferred" : "Master's degree in a relevant field, Experience with robotics manufacturing, Experience with ISO 9001, Experience with Six Sigma methodologies, Experience with data analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Is your passion inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work affects the bigger picture? Answer yes to any of these and you will fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we cannot even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. The Amazon Robotics (AR) Operations organization manufactures high-quality robotics deployed across Amazon. It’s an operation that works cross-functionally with teams across Amazon globally. Quality Engineering team is a multi-disciplinary technical organization that is responsible for Quality Engineering and Quality Systems Management across our Global Enterprise. We are seeking a talented and motivated Quality Engineer with a passion to support an advanced manufacturing line and driving quality improvements. This role will report to Product Quality Engineering within the Robotics Manufacturing and Technical Operations organization. Key job responsibilities - Actively support and foster a culture of inclusion - Production Floor Support - Develop standard failure diagnostic decision trees and train peer departments on supporting processes. - Identify quality trends, escalate, and lead investigations - Provide regular updates on quality investigations to stakeholders - Communicate internal production defects and trends to suppliers - Support Field Quality requests for production data - Non-conforming Material Processes - Technical review and disposition of non-conforming material - Ensure timely non-conforming material processing - Act as a back-up for incoming inspection as needed to protect production line from discrepant material - Data Collection/Presentation and Continuous Improvement Projects - Present weekly quality data to peer teams - Perform data collection and visualization - Travel estimated at 20% A day in the life Our value for our customers is to be the expert “problem solvers” of the organization (those that have been identified as well as those which can become a problem in the future). We are the single point of contact to identify and determine the root cause of issues experienced now or in the future across all programs and facilitate systematic improvements that enable customer satisfaction through speed and flexibility of factory improvements. As the “owners” of the data, we are uniquely situated to identify and communicate the impact of poor quality on our customers. T About the team The mission of the Product Quality Engineering team is to drive product excellence through innovative quality engineering solutions, leveraging proactive systems and data-driven approaches to ensure zero-defect manufacturing, seamless design integration, and superior customer satisfaction. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience with hardware/software integration and real-time systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Westboro - 96,600.00 - 160,000.00 USD annually", "summaryDescription" : "Product Quality Engineer, Robotics Manufacturing and Technical Operations at Amazon.com Services LLC. Skills: Quality engineering, Robotics manufacturing, Statistical process control. Develop and implement quality control processes. Monitor manufacturing processes", "postedDate" : "2026-06-14T20:21:12.626", "createdAt" : "2026-06-14T20:21:12.626", "lastUpdated" : "2026-06-16T02:47:51.761", "ingestTimestamp" : "2026-06-14T20:21:12.626", "mongoId" : "6a21ad3674d8ee00a0cc253f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439936/apply", "salaryAnnualMin" : 96000, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quality engineering", "Statistical analysis", "Process control", "Root cause analysis", "Robotics manufacturing", "Statistical process control", "Problem solving", "Analytical thinking", "Process improvement", "Project planning", "Risk management", "Quality management systems", "Six Sigma Green Belt", "Six Sigma Black Belt", "JIRA", "Confluence", "Minitab" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104422beec4dd3def288d", "title" : "Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 159000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T01:36:36.307", "fingerprint" : "1536744a4b57c61c18dee2e58767d0000a0835135d950f768ecf46a2eea880f4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386205/apply", "externalId" : "b3b62eac-455c-47af-8b46-67693988d7c0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI/ML, Python, Bash, Shell script, Linux, AWS", "professionalSkills" : [ "Manufacturing Engineering", "Test Engineering", "Quality Engineering", "Reliability Engineering", "Datacenter Infrastructure Engineering", "Root cause analysis", "Data analysis", "Statistical methods", "Hardware design", "Design for Manufacturing", "Design for Reliability", "Design for Test", "Supplier quality", "Fleet operations", "Product quality", "Manufacturing flows", "System design", "Manufacturing processes", "Test strategies", "Field failure analysis", "Data-driven analytics", "ML techniques", "Process improvements", "Test methodology", "Signal integrity", "Power management", "Heat management" ], "hardSkillsList" : [ "Root cause analysis", "Data analysis", "Statistical methods", "Design for Manufacturing", "Design for Reliability", "Design for Test", "Test methodology", "Signal integrity", "Power management", "Heat management" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Design for Manufacturing", "level" : "intermediate" }, { "name" : "Design for Reliability", "level" : "intermediate" }, { "name" : "Design for Test", "level" : "intermediate" }, { "name" : "Test methodology", "level" : "intermediate" }, { "name" : "Signal integrity", "level" : "intermediate" }, { "name" : "Power management", "level" : "intermediate" }, { "name" : "Heat management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Manufacturing Engineering, Datacenter Operations, Quality & Reliability, Root Cause Analysis", "majorSkillsList" : [ "Manufacturing Engineering", "Datacenter Operations", "Quality & Reliability", "Root Cause Analysis" ], "coreResponsibilities" : "Own operational production performance, Design preparedness lab, Build preparedness lab, Operate preparedness lab, Analyze datacenter performance, Identify root causes, Feed insights into manufacturing, Participate in manufacturing line development, Improve manufacturing flows, Inform system design, Inform manufacturing operations, Inform fleet operations, Manage early lifecycle changes, Identify initial product quality improvements, Drive to technical root cause, Define assembly recipes, Define repair recipes, Ensure manufacturing test flows regressed, Ensure datacenter test flows regressed, Influence hardware design strategy, Establish data-driven analytics frameworks, Connect manufacturing test data, Predict field failures, Build cross-functional team, Mentor cross-functional team, Perform technical promotion assessments, Collaborate with datacenter operations teams, Understand failure modes, Understand repair patterns, Understand operational challenges, Translate operator insights, Translate field learnings, Drive continuous improvement, Reduce failure rates, Reduce lifecycle degradation, Develop manufacturing process, Adapt manufacturing process, Define fixture requirements, Define critical assembly requirements, Define test methodology, Define signal integrity requirements, Define power management requirements, Define heat management requirements", "teamCollaboration" : "Cross-functional teams; Manufacturing Engineering; Manufacturing Test Engineering; Quality & Reliability Engineering; AWS Data Center Engineering; Hardware Design; ODM/JDM/CM partners; Datacenter operations teams", "projectManagementSkills" : [ "Design project strategy" ], "domainKnowledge" : "Manufacturing Quality; Datacenter Performance; Trainium Systems; High-performance computing; Server design; Rack design; System design; Manufacturing processes; Test strategies; Design for Manufacturing; Design for Reliability; Design for Test; Field failure analysis; Datacenter operations; Critical environment facilities; High volume manufacturing; Datacenter build-outs; Liquid cooling systems; Thermal management", "domainList" : [ "manufacturing-quality", "datacenter-performance", "trainium-systems", "high-performance-computing", "server-design", "rack-design", "system-design", "manufacturing-processes", "test-strategies", "design-for-manufacturing", "design-for-reliability", "design-for-test", "field-failure-analysis", "datacenter-operations", "critical-environment-facilities", "high-volume-manufacturing", "datacenter-build-outs", "liquid-cooling-systems", "thermal-management" ], "domainSpecificKnowledge" : [ "Manufacturing Quality", "Datacenter Performance", "Trainium Systems", "High-performance computing", "Server design", "Rack design", "System design", "Manufacturing processes", "Test strategies", "Design for Manufacturing", "Design for Reliability", "Design for Test", "Field failure analysis", "Datacenter operations", "Critical environment facilities", "High volume manufacturing", "Datacenter build-outs", "Liquid cooling systems", "Thermal management" ], "toolProficiency" : [ "Python", "Bash", "Shell script", "Linux" ], "communicationSkills" : "Influence senior leadership; Influence stakeholders", "problemSolvingSkills" : "Problem-solving capabilities; Root cause analysis; Troubleshooting", "outcomesObjectives" : "Reduce failure rates; Reduce lifecycle degradation", "qualificationsBasic" : "BS or MS degree in technical fields, 8+ years industry experience, 7+ years working with engineering teams, Experience with AI/ML acceleration systems, Experience with high-performance computing servers, Experience with complex multi-rack systems, Demonstrated track record delivering stable hardware, Experience with System Mechanical & Thermal design, Problem-solving capabilities, Experience with root cause analysis methodologies, Proficiency in data analysis tools, Proficiency in statistical methods, Proficiency in Python, Proficiency in Bash, Proficiency in Shell script, Proficiency in Linux, Ability to take hardware concept through deployment, Ability to collaborate effectively with teams, Experience working with ODMs, Experience working with JDMs, Experience working with component vendors, Experience working with internal design teams, Communication skills, Experience in Design for Manufacturing (DFM), Solve complex hardware engineering problems, Design project strategy", "qualificationsPreferred" : "Experience in management of datacenter operations, Experience in facility engineering operations, Experience in information technology critical environment facilities, Experience in advanced high volume manufacturing, Experience in datacenter build-outs, Experience in scaling datacenter operations, Knowledge of AWS services, Experience understanding electrical systems, Experience understanding mechanical systems, Masters Degree in technical fields, Hands-on design experience with enterprise hardware, Hands-on design experience with sled level designs, Hands-on design experience with rack level designs, Track record of implementing data-driven improvements, Experience with liquid cooling systems, Experience with direct-to-chip cooling, Experience with coolant distribution units (CDUs), Experience with thermal management for AI/ML workloads", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Within the Trainium Manufacturing Quality & Reliability (TRN MQR) organization, we are establishing a critical new function that bridges manufacturing outcomes with datacenter operational performance. We are seeking a talented and motivated Manufacturing & Datacenter Preparedness Lab Leader to build and lead this strategic capability in Austin, Texas. This role will report to the leader of Trainium Manufacturing Quality & Reliability and serve as the essential feedback loop between our ODM/JDM/CM manufacturing operations and AWS datacenter fleet performance. You will establish and operate a specialized preparedness lab focused on analyzing datacenter performance of manufactured Trainium systems to identify root causes of field rework and repairs, feeding critical insights back into manufacturing processes, test strategies, and design improvements. You will participate in the early phase of manufacturing line development for our next generation servers and racks to improve our manufacturing flows informing system design, manufacturing, and fleet operations. You will manage early lifecycle changes, identify initial product quality improvements, and drive to technical root cause in supplier quality activities. The candidate will have experience in design or manufacturing and is capable of making wide-ranging business decisions on behalf of the organization. You'll join a diverse team working across Manufacturing Engineering, Manufacturing Test Engineering, and Quality & Reliability Engineering. You'll collaborate with people across AWS Data Center Engineering, Hardware Design, ODM/JDM/CM partners, and datacenter operations teams to help us deliver the highest standards for safety and reliability while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Own operational production performance of Trainium systems across entire product lifecycle from manufacturing through datacenter deployment and fleet operations - Design and build preparedness lab replicating datacenter conditions for assembly, repair and system testing - Define and drive assembly and repair recipes in the manufacturing lab as the baseline prior to high volume manufacturing and datacenter deployment. - Ensure all manufacturing and datacenter test flows are regressed in the manufacturing lab prior to deployment. - Influence hardware design strategy for Design for Manufacturing (DFM), Design for Reliability (DFR), and Design for Test (DFT) based on field failure analysis - Establish data-driven analytics frameworks connecting manufacturing test data to datacenter performance, leveraging ML techniques to predict field failures - Build and mentor cross-functional team spanning manufacturing, test, quality, and reliability engineering; perform technical promotion assessments as force multiplier - Collaborate with AWS datacenter operations teams to understand failure modes, repair patterns, and operational challenges firsthand; translate operator insights and field learnings into actionable manufacturing process improvements and design changes - Drive continuous improvement reducing failure rates and lifecycle degradation through rapid feedback loops - Develop or adapt manufacturing process at the ODM and CM, including defining fixture requirements, critical assembly requirements, test methodology, signal integrity, power and heat management requirement About the team Annapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro(K2), Graviton, Inferentia, and Trainium families of processors. Machine Learning Annapurna functions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization. We are the Trainium Servers and Systems organization under MLA focused on Hardware Development, Software Development, Fleet Ops Systems, and Manufacturing, Quality, and Reliability. This position is in the Manufacturing, Quality and Reliability team. Basic Qualifications: - BS or MS degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, or related technical fields - 8+ years industry experience in one or more of the following: Manufacturing Engineering, Test Engineering, Quality Engineering, Reliability Engineering, or Datacenter Infrastructure Engineering - 7+ years working directly with engineering teams in cross-functional environments - Experience with AI/ML acceleration systems, high-performance computing servers, or complex multi-rack systems - Demonstrated track record delivering stable, performant hardware solutions meeting cost and quality targets - Experience with System Mechanical & Thermal design for air-cooled and liquid-cooled systems - Strong problem-solving capabilities to isolate, define, and resolve complex problems spanning manufacturing quality and field reliability - Experience with root cause analysis methodologies (8D, 5-Why, Fishbone, FMEA) and implementing corrective/preventive actions - Proficiency in data analysis tools, statistical methods, and programming (Python, Bash, Shell script, Linux) - Ability to take hardware concept from requirements through fabrication and deployment - Ability to collaborate effectively with teams spanning multiple sites and develop detailed specifications for product teams - Experience working with ODMs, JDMs, component vendors, and internal design teams on cross-boundary triaging, debugging, and resolving issues - Strong communication skills with ability to influence senior leadership and cross-functional stakeholders - Experience in Design for Manufacturing (DFM), also known as Design for Manufacturability, a product design approach that focuses on optimizing the ease and cost of manufacturing a product - Can be given complex hardware engineering problem to solve and design project strategy that splits work appropriately for parallel development Preferred Qualifications: - Experience in management of datacenter operations, facility engineering operations, information technology critical environment facilities, advanced high volume manufacturing, datacenter build-outs and scaling, or similar fields - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience understanding electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switch gear, UPS systems, ATS units, PDU units, chillers, pumps, or air handling units - Masters Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, or related technical fields - Hands-on design experience with enterprise hardware design, sled level design, and rack level designs - Track record of implementing data-driven process improvements that measurably reduced field failure rates or improved manufacturing yield - Experience with liquid cooling systems, direct-to-chip cooling, coolant distribution units (CDUs), and thermal management for AI/ML workloads 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, TX, Austin - 159,200.00 - 215,300.00 USD annually", "summaryDescription" : "Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability at Annapurna Labs (U. S. ) Inc.. Skills: Manufacturing Engineering, Datacenter Operations, Quality & Reliability, Root Cause Analysis. Own operational production performance. Design preparedness lab", "postedDate" : "2026-06-13T02:32:48.067", "createdAt" : "2026-06-13T02:32:48.067", "lastUpdated" : "2026-06-15T01:36:36.307", "ingestTimestamp" : "2026-06-13T02:32:48.067", "mongoId" : "69e104422beec4dd3def288d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386205/apply", "salaryAnnualMin" : 159000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Root cause analysis", "Data analysis", "Statistical methods", "Design for Manufacturing", "Design for Reliability", "Design for Test", "Test methodology", "Signal integrity", "Power management", "Heat management", "Leadership", "Mentoring", "Manufacturing Engineering", "Datacenter Operations", "Quality & Reliability", "Root Cause Analysis", "Test Engineering", "Quality Engineering", "Reliability Engineering", "Datacenter Infrastructure Engineering", "Hardware design", "Supplier quality", "Fleet operations", "Product quality", "Manufacturing flows", "System design", "Manufacturing processes", "Test strategies", "Field failure analysis", "Data-driven analytics", "ML techniques", "Process improvements", "Design project strategy", "Manufacturing Quality", "Datacenter Performance", "Trainium Systems", "High-performance computing", "Server design", "Rack design", "Datacenter operations", "Critical environment facilities", "High volume manufacturing", "Datacenter build-outs", "Liquid cooling systems", "Thermal management", "Python", "Bash", "Shell script", "Linux" ], "skillCount" : 49, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cecd374d8ee00a0a7c0a2", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Manufacturing Data Entry role in Santa Ana, CA, adjusted for industry and company size." }, "location" : "Santa Ana, CA", "locations" : [ "Santa Ana", "CA" ], "timestamp" : "2026-06-16T02:46:28.317", "fingerprint" : "13652b084ab2c9b7275c4f6b21a156fb2dbf494669b2f552e9dcdb0fdaabdfa7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/60bca12ff8ae-manufacturing-data-entry", "externalId" : "60bca12ff8ae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Ana", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7494951,-117.8732210" } ], "locationText" : "Santa Ana, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Accurate entry of data, Perform directed tasks for planning team", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic, Analytical, Detail-oriented", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Operations team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obsta", "summaryDescription" : "Manufacturing Data Entry at InsulTech. Accurate entry of data. Perform directed tasks for planning team", "createdAt" : "2026-06-14T21:05:49.856", "lastUpdated" : "2026-06-16T02:46:28.317", "ingestTimestamp" : "2026-06-14T21:05:49.856", "mongoId" : "6a2cecd374d8ee00a0a7c0a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098bdf5", "title" : "Financial Performance and Analysis", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Performance and Analysis role in Madrid, Spain, adjusted for the FinTech industry." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T09:26:43.034", "fingerprint" : "d7381340f9999217e17b528557279df139e22bc370b91841aa7b793c17934513", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4751604101", "externalId" : "4751604101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "minimumEducation" : "Bachelor's", "softSkillsList" : [ "Clear communication", "Analytical mindset" ], "softSkills" : [ { "name" : "Clear communication" }, { "name" : "Analytical mindset" } ], "teamCollaboration" : "FP&A teams; Finance & Accounting teams; Finance Tech teams; Regional teams", "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Identify data inconsistencies; Identify structural effects; Identify model-related issues", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. At Getnet, we are looking for a Financial Performance and Analysis to join our team in Madrid. \uD83D\uDCCCWhat you'll do Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Financial Performance and Analysis at Getnet", "postedDate" : "2026-06-14T04:54:16.069", "createdAt" : "2026-06-14T04:54:16.069", "lastUpdated" : "2026-06-15T09:26:43.034", "ingestTimestamp" : "2026-06-14T04:54:16.069", "mongoId" : "6a2c94e874d8ee00a098bdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Clear communication", "Analytical mindset", "Payment solutions", "Fintech", "Acquiring hub" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2aa6dd74d8ee00a06bb78c", "title" : "Manufacturing System Technician", "company" : "Noah Medical", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Manufacturing System Technician in San Jose, California, adjusted for the healthcare industry and company size." }, "location" : "San Jose, California, United States", "locations" : [ "San Jose", "California", "United States" ], "timestamp" : "2026-06-14T21:06:22.934", "fingerprint" : "e5aec57a2334fff92de0e709d0925ccd18e5bb48bb581c128efb49dc18607e2e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/noahmedical/jobs/5253800008", "externalId" : "5253800008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "minimumEducation" : "High School Diploma", "technicalSkills" : "Robotic hardware, Sensors, Motors, PLC, Relays, Circuit boards, Computers, Cabling, Microsoft Office, PC software", "professionalSkills" : [ "Root cause analysis", "Lean manufacturing" ], "hardSkillsList" : [ "Robotic systems testing", "Medical device testing", "Troubleshooting" ], "hardSkills" : [ { "name" : "Robotic systems testing", "level" : "intermediate" }, { "name" : "Medical device testing", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Robotic systems, Medical devices, Testing, Troubleshooting", "majorSkillsList" : [ "Robotic systems", "Medical devices", "Testing", "Troubleshooting" ], "coreResponsibilities" : "Assemble medical robotic systems, Test medical robotic systems, Assemble medical subassemblies, Test medical subassemblies, Package medical subassemblies, Package medical systems, Install hardware components, Configure hardware components, Install software components, Configure software components, Program robotic movements, Test robotic movements, Program robotic functions, Test robotic functions, Perform system testing, Troubleshoot issues, Collaborate with team members, Assist with inventory management, Point out shortages, Maintain records, Maintain work area, Meet cycle time requirements, Meet quality standards, Perform rework, Perform assembly, Perform test", "teamCollaboration" : "Collaborate with engineers; Collaborate with team members", "domainKnowledge" : "Medical robotics; Good Manufacturing Practices; GMP; Regulated environment; ISO 13485; 21 CFR 820", "domainList" : [ "medical-robotics", "good-manufacturing-practices", "gmp", "regulated-environment", "iso-13485", "21-cfr-820" ], "domainSpecificKnowledge" : [ "Medical robotics", "Good Manufacturing Practices", "GMP", "Regulated environment", "ISO 13485", "21 CFR 820" ], "documentationSkills" : "Maintain records; Device History Records", "continuousLearning" : "On-demand online training; Book reimbursement", "problemSolvingSkills" : "Troubleshooting skills; Root cause analysis", "specialRequirements" : "Stay overtime", "outcomesObjectives" : "Meet standard cycle time requirements; Meet quality standards", "qualificationsBasic" : "3-5 years medical device test experience, AS Degree Computer Science 2 years experience, BS Computer Science 1 year experience, BS Electrical Engineering 1 year experience, BS Industrial Engineering 1 year experience, Knowledge of GMP, Non-Conformance reports experience, Line clearance experience, ISO 13485 compliance experience, 21 CFR 820 compliance experience", "qualificationsPreferred" : "BS in Computer Science, BS in Electrical Engineering, BS in Industrial Engineering", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are Noah Medical is building the future of medical robotics. Our next generation robotic platform targets early diagnosis and treatment of patients across multiple indications. We are looking for exceptional engineers and key team members. Our incredibly talented team of engineers, innovators, and industry leaders bring years of experience from the top healthcare companies in the world, including: Intuitive, Auris, Stryker, Johnson & Johnson, Boston Scientific, Verb Surgical, Mako, Think Surgical, Medrobotics, and Hansen. We are looking for talented, motivated and ambitious team members to revolutionize robotic surgery. About The Team We are seeking a skilled ManufacturingTechnician to join our team. The ideal candidate will be responsible for building, testing, and troubleshooting medical robotic systems while adhering to Good Manufacturing Practices (GMP). The successful candidate will have a strong understanding of robotic hardware, sensors, motors, PLC’s, relays, circuit boards, computers, cabling and experience with and testing, excellent troubleshooting skills, and GMP experience. A Day In The Life Of Our Manufacturing System Technician Assemble and/or test medical robotic systems according to established MPI, drawings, and schematics. Assemble and/or test medical subassemblies according to established MPI, drawings, and schematics. Perform packaging medical subassemblies and systems according to established MPI, and drawings. Install and configure hardware components, including robotic arms, sensors, motors, PLC’s, relays, circuit boards and cables. Install and configure software components, including programming and testing of robotic movements and functions. Perform system testing and work with engineers to troubleshoot issues as they arise. Collaborate with other team members to identify and resolve issues. Assist with inventory management and point out shortages as needed. Maintain accurate records of system configurations, test results, and troubleshooting activities as part of the Device History Records while adhering to GMP. Maintain a clean and organized work area as part of the line clearance procedure as lean manufacturing practices. Meet all standard cycle time requirements and quality standards. Perform other reasonable duties in assembly, rework, or test as required Might require to stay overtime as required Shift schedule: Monday - Thursday: 5:00AM-3:30PM About You High School Diploma required and a Minimum 3-5 years of medical device test work experience required (or) AS Degree in Computer Science and minimum 2 years of testing Medical Device experience (or) BS in Computer Science, Electrical Engineering, or Industrial Engineering with 1 year of experience medical device test work experience English language proficiency required Knowledge of working Microsoft office and other PC software Knowledge of GMP, Non-Conformance reports, and Line clearance experience required. Work with the production manager and engineers to assist root cause analysis for nonconformance. Experience working in a regulated environment in compliance with ISO 13485 and 21 CFR 820 required. #LI-Onsite Pay Transparency The Pay Range for this position is listed. Noah Medical offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors such as location as permitted by law. Total compensation may also include additional forms of incentives. California Pay Range $28—$35 USD Benefits & Perks (For Full Time Employees): Competitive Salary Comprehensive health insurance including Medical, Dental and Vision + HSA and FSA options Equity & Bonus Program Life Insurance (company paid & supplemental) and Disability insurance Mental health support through medical insurance programs Legal and Pet Insurance 12+ paid holidays, Flexible Time Off + Sick Time Paid parental leave In-office snacks and beverages In-office lunch stipend Learning & Development Opportunities: On-demand online training and book reimbursement Team building and company organized social and celebration events Noah Medical may offer remote, hybrid, or onsite work arrangements within the state of California depending on the specific team and/or role where applicable. Noah Medical is an Equal Opportunity Employer. We celebrate diversity and are committed to ensuring an inclusive environment for our employees. Applicants are considered for all positions without regard to race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, ancestry, age, genetic information, physical or mental disability, marital or protected military or veteran status, or any other consideration made unlawful by federal, state or local laws. Please visit our Careers Page to view our latest openings. NO AGENCIES PLEASE - Please do not outreach to any managers or submit any resumes without a signed agreement from Talent Acquisition. Resumes shared with anyone at Noah Medical without a signed agreement will be considered your gift to us and no fee will be paid.", "summaryDescription" : "Manufacturing System Technician at Noah Medical. Skills: Robotic systems, Medical devices, Testing, Troubleshooting. Assemble medical robotic systems. Test medical robotic systems", "postedDate" : "2026-06-11T21:06:55.993", "createdAt" : "2026-06-11T21:06:55.993", "lastUpdated" : "2026-06-14T21:06:22.934", "ingestTimestamp" : "2026-06-11T21:06:55.993", "mongoId" : "6a2aa6dd74d8ee00a06bb78c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Robotic systems testing", "Medical device testing", "Troubleshooting", "Robotic systems", "Medical devices", "Testing", "Root cause analysis", "Lean manufacturing", "Medical robotics", "Good Manufacturing Practices", "GMP", "Regulated environment", "ISO 13485", "21 CFR 820" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "operations,-manufacturing,-supply-chain", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a191e7758b93c861e39f758", "title" : "Drive System Project and System Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Drive System Project and System Engineer in Beijing, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T04:34:34.226", "fingerprint" : "f190d5ff88d9acd3cd6d85ed445a94184ab24dc693dd6440e94442d2e722a6aa", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=884665", "externalId" : "884665", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Intercultural working experience" ], "coreResponsibilities" : "Plan projects, Align with different interfaces within RD China, Align with different interfaces within RD Germany, Plan software releases, Synchronize software development timeline, Align software development topics, Plan software versions, Handle variants, Manage SW-resources, Manage software suppliers, Plan feature-rollout, Plan costs, Attend test drives, Track issues, Troubleshoot issues, Find solutions, Release software, Manage change, Maintain software data, Initiate approval process, Drive approval process", "projectManagementSkills" : [ "Project management methods" ], "domainKnowledge" : "Drive system project; Software release; Model year certification; Drive system project; Software development; China specific cooperation; Features; Regulations; Software coordination; Testing coordination; Development coordination; Software versions; Variant handling; SW-resources management; Software supplier management; Feature-rollout; Cost planning; Test drives; Issue tracking; Trouble shooting; Solution finding; Software release; Function developer; Calibration engineers; Software validation; Change management; Software data; Vehicle certification; Approval process; Software releases; ICE technology; Hybrid technology; Automobile industry", "domainList" : [ "drive-system-project", "software-release", "model-year-certification", "software-development", "china-specific-cooperation", "features", "regulations", "software-coordination", "testing-coordination", "development-coordination", "software-versions", "variant-handling", "sw-resources-management", "software-supplier-management", "feature-rollout", "cost-planning", "test-drives", "issue-tracking", "trouble-shooting", "solution-finding", "function-developer", "calibration-engineers", "software-validation", "change-management", "software-data", "vehicle-certification", "approval-process", "software-releases", "ice-technology", "hybrid-technology", "automobile-industry" ], "domainSpecificKnowledge" : [ "Drive system project", "Software release", "Model year certification", "Drive system project", "Software development", "China specific cooperation", "Features", "Regulations", "Software coordination", "Testing coordination", "Development coordination", "Software versions", "Variant handling", "SW-resources management", "Software supplier management", "Feature-rollout", "Cost planning", "Test drives", "Issue tracking", "Trouble shooting", "Solution finding", "Software release", "Function developer", "Calibration engineers", "Software validation", "Change management", "Software data", "Vehicle certification", "Approval process", "Software releases", "ICE technology", "Hybrid technology", "Automobile industry" ], "problemSolvingSkills" : "Trouble shooting; Solution finding", "specialRequirements" : "Willingness to travel inside China, Willingness to travel abroad", "qualificationsBasic" : "University degree in mechanical engineering, University degree in automotive engineering, University degree in electrical engineering, Advanced knowledge project management methods, Advanced knowledge ICE technology, Advanced knowledge Hybrid technology, Computer skills mandatory, Windows proficiency, Office proficiency, Self-responsible working attitude, Initiative, Intercultural competence, Communication skills with various hierarchy levels, Planning skills, Organizational skills, Fast-learning competence, Good technical understanding, High commitment for automobiles, Willingness to travel inside China, Willingness to travel abroad", "qualificationsPreferred" : "German language is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objectives: 1 . Project planning Alignment with different interfaces within RD China and RD Germany Software release planning according to model year certification and release plan Software development timeline synchronization within drive system project . Software development topic alignment for China specific cooperation topics regarding features/regulations 2 . Central software coordination and testing/development coordination Software versions planning, variant-handling, SW-resources-management Software supplier management Feature-rollout planning, cost planning Planning and attendance of test drives on demand (e.g. summer test, winter test) Issue tracking, trouble shooting and solution finding. 3. Release Software release in accordance with function developer and calibration engineers after sufficient software validation Change management Maintenance of software data for vehicle certification Initiate and drive the approval process for software releases Qualifications: Education: University degree in mechanical engineering, automotive engineering, electrical engineering or in a related field. Experience : Advanced knowledge and experience with project management methods. Advanced knowledge and experience on ICE and Hybrid on technology. Intercultural working experience in automobile industry. Specific Knowledge : Chinese native speaker with fluent English language skills, German language is a plus. Computer skills mandatory, including Windows, Office. Self-responsible working attitude and initiative. Intercultural competence and communication skills with various hierarchy levels. Strong planning and organizational skills. Fast-learning competence and good technical understanding. High commitment for automobiles. Willingness to travel inside China and abroad. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Drive System Project and System Engineer at Mercedes-Benz Group China Ltd.. Plan projects. Align with different interfaces within RD China", "createdAt" : "2026-06-14T19:04:33.636", "lastUpdated" : "2026-06-16T04:34:34.226", "ingestTimestamp" : "2026-06-14T19:04:33.636", "mongoId" : "6a191e7758b93c861e39f758", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Intercultural working experience", "Project management methods", "Drive system project", "Software release", "Model year certification", "Software development", "China specific cooperation", "Features", "Regulations", "Software coordination", "Testing coordination", "Development coordination", "Software versions", "Variant handling", "SW-resources management", "Software supplier management", "Feature-rollout", "Cost planning", "Test drives", "Issue tracking", "Trouble shooting", "Solution finding", "Function developer", "Calibration engineers", "Software validation", "Change management", "Software data", "Vehicle certification", "Approval process", "Software releases", "ICE technology", "Hybrid technology", "Automobile industry" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a928374d8ee00a0691248", "title" : "Manufacturing Process Coordinator", "company" : "Hunter Douglas", "industry" : "Manufacturing", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "CO", "locations" : [ "CO" ], "certifications" : [ "ISO auditor training" ], "timestamp" : "2026-06-14T21:40:29.202", "fingerprint" : "ea9de33f256a463ed66aefc4f088e4278524d7bfb4fd5113b304c44665812b43", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.hunterdouglas.com/division/hunterdouglas/job/7763998003?gh_jid=7763998003", "externalId" : "7763998003", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Colorado", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Colorado, United States", "technicalSkills" : "SAP, Excel, Google Docs", "professionalSkills" : [ "Process management", "Operational standards", "Lean principles", "Quality control", "Waste elimination", "Product development", "Work process development", "Employee certification" ], "hardSkillsList" : [ "Data collection", "Trend analysis", "Root cause analysis", "Process capability", "Yield expectations" ], "softSkillsList" : [ "Intelligent", "Creative", "Entrepreneurial" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Process capability", "level" : "intermediate" }, { "name" : "Yield expectations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intelligent" }, { "name" : "Creative" }, { "name" : "Entrepreneurial" } ], "majorSkills" : "Process coordination, Operational metrics, Continuous improvement, Vendor management", "majorSkillsList" : [ "Process coordination", "Operational metrics", "Continuous improvement", "Vendor management" ], "coreResponsibilities" : "Coordinate manufacturing processes, Ensure process capability and execution, Review daily reports on manufacturing yields, Assist management in collecting data, Analyze process trends, Analyze inefficient workflow, Identify opportunities for waste elimination, Update standardized work processes, Update documentation, Identify areas of concern with production equipment, Monitor training and compliance to ISO procedures, Oversee training in ISO procedures, Assist in development of new equipment, Assist in introduction of new work processes, Assist in introduction of new products, Conduct employee testing for certification, Make final determination on certification readiness, Monitor accumulated training hours, Keep informed of material availability, Keep informed of customer needs, Keep informed of quality control issues, Analyze trends in productivity, Analyze trends in quality, Analyze trends in safety, Capture root cause issues, Participate on DMAIC event teams, Participate on Rapid Response teams, Participate on Kaizen event teams, Facilitate implementation of action items", "teamCollaboration" : "Interacts with other functional groups; Assists other departments; Lends assistance to R&D; Lends assistance to Engineering", "projectManagementSkills" : [ "DMAIC", "Kaizen events" ], "domainKnowledge" : "Window coverings manufacturing; Architectural products manufacturing; Lean principles; ISO procedures", "domainList" : [ "window-coverings-manufacturing", "architectural-products-manufacturing", "lean-principles", "iso-procedures" ], "domainSpecificKnowledge" : [ "Window coverings manufacturing", "Architectural products manufacturing", "Lean principles", "ISO procedures" ], "toolProficiency" : [ "Kaizen", "SAP", "Excel", "Google Docs" ], "communicationSkills" : "Verbal testing; Written testing", "documentationSkills" : "Standardized work processes; Documentation", "continuousLearning" : "Internal development; Professional growth", "innovationCreativity" : "Development of new equipment; Development of new work processes; Development of new products", "problemSolvingSkills" : "Trouble shoot malfunctions; Root cause analysis", "specialRequirements" : "Constant alertness, Safe manner, Regular attendance, Predictable attendance, Push/pull pallet jack, Carry fabric bars", "outcomesObjectives" : "Ensure adequate process capability; Ensure adequate process execution; Meet yield expectations", "qualificationsBasic" : "High school diploma or equivalent, Basic knowledge of mechanical operation, Basic knowledge of work processes, Basic knowledge of computer software, Solid knowledge of adult learner training principles, Ability to analyze numerical reports", "qualificationsPreferred" : "Additional coursework in interaction management, Computer training in basic software packages, ISO auditor training", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours? Summary/Objective Responsible for the coordination of manufacturing processes for products to be produced in accordance with applicable quality and operational standards. Interacts on a daily basis with employees as well as individuals from other functional groups in order to ensure adequate process capability and execution is maintained for all existing and new products. .ESSENTIAL FUNCTIONS An employee in this position may be called upon to do any or all of the following essential functions. (These examples do not include all of the functions which the employee may be expected to perform.) Reviews all daily reports that list manufacturing yields of all production equipment operated on all shifts. Utilizes Kaizen, SAP, Excel, and Google Docs to assists management in collecting data and/or samples to analyze process trends, inefficient workflow, opportunities for waste elimination, etc… and updates standardized work processes and documentation, and in accordance with Lean principles. Identifies areas of concern whereby production equipment could be contributing to poor quality and/or the inability to meet yield expectations. Monitors and ensures the training and compliance to ISO procedures by overseeing training in ISO procedures among team members. Participates and lends assistance to other departments such as Research and Development and Engineering in the development and introduction of new equipment, work processes or products to manufacturing. Conducts written and/or verbal testing of employees for equipment or work process certification. Makes final determination on employee certification readiness. Utilizes specialized software program, KAIZEN, to monitor the number of accumulated hours of training on equipment or work processes prior to certification testing. Keeps informed of availability of materials, customer needs and quality control issues using proprietary computer software programs, visual inventory and daily summary reports issued by other departments. Utilizes Kaizen, SAP, Excel, and Google Docs to assists management in collecting data and/or samples to analyze trends in productivity, quality, safety, etc…in order to capture root cause issues. Maintains consistent participation on DMAIC, Rapid Response and Kaizen event teams as needed and assists in facilitating implementation of action items. OTHER FUNCTIONS Ability to work in a constant state of alertness and safe manner. Position requires regular and predictable attendance. Employees are held accountable for all duties of this job QUALIFICATIONS AND KSA’S FOR EMPLOYMENT An employee in this position, upon appointment, should have the equivalent of the following: Basic knowledge of the mechanical operation of all equipment within the business function to trouble shoot malfunctions with equipment. Basic knowledge of all work processes associated with production. Basic knowledge of computer software packages. Solid knowledge of principles of training adult learners. Ability to analyze, understand and interpret numerical reports detailing production yield Acceptable training and experience include a high school diploma or equivalent. Additional course work in interaction management would be beneficial. Computer training in basic software packages would also be beneficial. ISO auditor training would be helpful. PHYSICAL REQUIREMENTS Body Movement Frequently stands and walks for extended periods of time on concrete floor. Will occasionally push and pull a pallet jack loaded with glue buckets or rolls of fabric weighing approximately 1,000 pounds. Will occasionally bend/stoop at waist when loading or unloading fabric bars off of stacker equipment. Will occasionally climb up a four-foot step ladder to trouble shoot malfunctions with stacker equipment. Will occasionally twist and reach when assisting a Stacking Technician unloading a fabric bar off the stacker and carrying it to the oven. Back and Upper Body (lifting and carrying) Will occasionally assist a Stacking Technician in carrying and lifting fabric bars, weighing 50 pounds or more, on and off stacker equipment. Vision Constantly uses sight in performance of daily duties. Must have average or better color acuity Sense of Touch Frequently uses sense of touch in reaching for tools or using computer keyboard. Hearing Occasionally uses hearing to listen for warning signals on stacker equipment or noting equipment malfunctions by sounds emitted by the equipment. Work Environment Production environment with noise generated by equipment. Fumes from waste water area, isopropyl alcohol and glue. General dust from production equipment and fabrics. Slight mists from humidity chambers. What's in it for you? • Annual base salary range: hourly $20.00 to $22.50 • Bonus target range: 2.5% • Generous benefits package including medical, dental, vision, life, disability • A company culture that prioritizes internal development and professional growth • Time off with pay • 401(k) plan with a degree of employer matching • Paid parental leave • Wellness programs and product discounts #LI-PD1 #LI-office By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text “STOP” to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use", "summaryDescription" : "Manufacturing Process Coordinator at Hunter Douglas. Skills: Process coordination, Operational metrics, Continuous improvement, Vendor management. Coordinate manufacturing processes. Ensure process capability and execution", "postedDate" : "2026-06-11T21:49:26.270", "createdAt" : "2026-06-11T21:49:26.270", "lastUpdated" : "2026-06-14T21:40:29.202", "ingestTimestamp" : "2026-06-11T21:49:26.270", "mongoId" : "6a2a928374d8ee00a0691248", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Trend analysis", "Root cause analysis", "Process capability", "Yield expectations", "Intelligent", "Creative", "Entrepreneurial", "Process coordination", "Operational metrics", "Continuous improvement", "Vendor management", "Process management", "Operational standards", "Lean principles", "Quality control", "Waste elimination", "Product development", "Work process development", "Employee certification", "DMAIC", "Kaizen events", "Window coverings manufacturing", "Architectural products manufacturing", "ISO procedures", "ISO auditor training", "Kaizen", "SAP", "Excel", "Google Docs" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "hd-supply-chain---indirect", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing" }, { "id" : "6a2a688674d8ee00a06347d8", "title" : "Process Analysis Engineer", "company" : "Micron Technology", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 750000.0, "max" : 1050000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Process Analysis Engineer in Taichung, Taiwan, adjusted for Micron Technology's industry and company size." }, "location" : "Taichung - MTB, Taiwan", "locations" : [ "Taichung - MTB, Taiwan" ], "timestamp" : "2026-06-13T08:09:11.092", "fingerprint" : "fbe6666874c5281e4d77597c7be8de512371b4faef4afc38f3624426ae9f0362", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Taichung---MTB-Taiwan/Process-Analysis-Engineer_JR98380", "externalId" : "JR98380", "industryFunction" : { }, "locationPoint" : "24.1469,120.6839", "structuredLocations" : [ { "city" : "Taichung", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.1631620,120.6478282" } ], "locationText" : "Taichung, Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Process management" ], "hardSkillsList" : [ "Statistical Process Control" ], "hardSkills" : [ { "name" : "Statistical Process Control", "level" : "intermediate" } ], "majorSkills" : "Process analysis, Process improvement", "majorSkillsList" : [ "Process analysis", "Process improvement" ], "coreResponsibilities" : "Establish and improve process conditions, Improve process technology, Upgrade process capability, Reduce production cost, Establish process management projects, Modify process management projects, Perform abnormal analysis, Implement improvement for abnormal processes", "domainKnowledge" : "Assembly process", "domainList" : [ "assembly-process" ], "domainSpecificKnowledge" : [ "Assembly process" ], "communicationSkills" : "Conversation English", "problemSolvingSkills" : "Abnormal analysis", "outcomesObjectives" : "Upgrade process capability; Reduce production cost", "qualificationsBasic" : "Bachelor degree or above, 2-years of working experiences in engineer background at Assembly process, Conversation English with TOEIC 600 scores", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. **Responsibilities and Tasks:** • Establish and improve process conditions and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Abnormal analysis and improvement. Statistical Process Control (SPC)&Fault Detection and Classification (FDC) **Requirement:** • _Preferred to have over 2-years of working experiences in engineer background at Assembly process._ _•_ _Conversation English with TOEIC 600 scores._ _•_ _Bachelor degree or above_ **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact at [hrsupport_taiwan@micron.com](mailto:hrsupport_taiwan@micron.com). Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Process Analysis Engineer at Micron Technology. Skills: Process analysis, Process improvement. Establish and improve process conditions. Improve process technology", "postedDate" : "2026-06-10T16:28:29.647", "createdAt" : "2026-06-11T16:28:29.551", "lastUpdated" : "2026-06-13T08:09:11.092", "ingestTimestamp" : "2026-06-11T16:28:29.551", "mongoId" : "6a2a688674d8ee00a06347d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Taichung---MTB-Taiwan/Process-Analysis-Engineer_JR98380", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical Process Control", "Process analysis", "Process improvement", "Process management", "Assembly process" ], "skillCount" : 5, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a2cecd374d8ee00a0a7c0a3", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Manufacturing Data Entry role in Yuma, United States, adjusted for industry and company size." }, "location" : "Yuma, AZ", "locations" : [ "Yuma", "AZ" ], "timestamp" : "2026-06-15T13:04:51.321", "fingerprint" : "1959659df457b848727ad7f24fdfde0964e083caee50ff777b7becd3c6242699", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/d3670c62c42b-manufacturing-data-entry", "externalId" : "d3670c62c42b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Yuma", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7254216,-114.6198088" } ], "locationText" : "Yuma, Arizona, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Data entry", "Accurate data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Accurate data entry", "level" : "intermediate" } ], "majorSkills" : "Data entry, Production scheduling", "majorSkillsList" : [ "Data entry", "Production scheduling" ], "coreResponsibilities" : "Enter data accurately, Perform directed tasks", "teamCollaboration" : "Planning team", "domainKnowledge" : "Production schedules", "domainList" : [ "production-schedules" ], "domainSpecificKnowledge" : [ "Production schedules" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic individual, Analytical individual, Detail-oriented individual", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Planning team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obstacl", "summaryDescription" : "Manufacturing Data Entry at InsulTech. Skills: Data entry, Production scheduling. Enter data accurately. Perform directed tasks", "createdAt" : "2026-06-14T01:12:44.912", "lastUpdated" : "2026-06-15T13:04:51.321", "ingestTimestamp" : "2026-06-14T01:12:44.912", "mongoId" : "6a2cecd374d8ee00a0a7c0a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data entry", "Accurate data entry", "Production scheduling", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Production schedules" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3055a1f292fd229cf20673", "title" : "Process Mining Data Engineer", "company" : "Celonis", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Mining Data Engineer in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:43:15.521", "fingerprint" : "0ead4df6c40d982df6495bf942d727262b5f232041ba26c4754a39ebb7813676", "source" : "workday", "language" : "en", "applyUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "externalId" : "J-019770", "industryFunction" : { }, "locationPoint" : "51.9194,19.1451", "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Celonis EPM, Object-Centric Process Mining, PQL", "professionalSkills" : [ "Process mining development", "Data modeling", "Data extraction", "Data transformation", "Data validation", "Data analysis" ], "hardSkillsList" : [ "Process mining", "Data analytics" ], "hardSkills" : [ { "name" : "Process mining", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Celonis Process Mining, SQL, Data modeling", "majorSkillsList" : [ "Celonis Process Mining", "SQL", "Data modeling" ], "coreResponsibilities" : "Execute process mining development and engineering activities, Translate business requirements into Celonis solutions, Build and maintain end-to-end process data models, Enable new process data sets, Enhance or update existing data sources, Extract, transform, validate, and analyze data, Support data quality checks, Ensure consistency of process logic, Collaborate with business and functional stakeholders, Clarify requirements, Validate assumptions, Refine solutions, Apply Celonis best practices, Contribute to technical documentation, Develop reusable components, Improve platform continuously, Stay up to date with Celonis capabilities, Explore automation opportunities, Explore execution use cases, Explore AI-enabled insights, Explore Copilot-supported capabilities", "teamCollaboration" : "Global business teams; Functional teams; Global process mining lead; Supply Chain; Order-to-Cash; Procure-to-Pay", "domainKnowledge" : "Process mining; Enterprise Process Mining; SAP tables", "domainList" : [ "process-mining", "enterprise-process-mining", "sap-tables" ], "domainSpecificKnowledge" : [ "Process mining", "Enterprise Process Mining", "SAP tables" ], "toolProficiency" : [ "Celonis EPM", "SAP" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Staying up to date with Celonis capabilities and emerging features", "innovationCreativity" : "Automation; Execution use cases; AI-enabled insights; Copilot-supported capabilities", "problemSolvingSkills" : "Analytical mindset", "outcomesObjectives" : "Enable end-to-end process transparency; Standardize insights; Enable execution-oriented use cases", "qualificationsBasic" : "Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics, Hands-on experience with Celonis Process Mining, including Object-Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts, SQL skills with practical experience in data extraction, transformation, validation, and analysis, Fluent English", "qualificationsPreferred" : "Experience working with SAP, including exposure to SAP tables is a plus, Experience in automation, AI-enabled analytics, or Copilot-supported solution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** : **_Role Overview:_ ** The **Process Mining Data Engineer** will be responsible for building and maintaining scalable process mining solutions within the **Celonis Enterprise Process Mining (EPM)** environment. This role supports the expansion of process mining capabilities across the organization by enabling end‑to‑end process transparency, standardized insights, and execution‑oriented use cases. Working under the direction of the **Global Process Mining Lead** , the role translates pre‑approved, prioritized business requirements into robust and high‑quality Celonis assets. Collaboration with global business and functional teams is key to ensure solutions are reliable, performant, and aligned to enterprise standards. **Do you think you’re the right fit for this opportunity? Apply today!** ** _Role Responsibilities:_ ** **As a ****Process Mining Data Engineer****, you will be responsible for:** * Executing process mining development and engineering activities under the direction of the **Global Process Mining Lead** * Translating approved business requirements into scalable Celonis solutions, including applications, analyses, dashboards, alerts, action and approval flows, email automations, and write‑backs * Building and maintaining end‑to‑end process data models within Celonis EPM * Enabling new process data sets and enhancing or updating existing data sources already loaded into Celonis * Using SQL to extract, transform, validate, and analyze data from source systems * Supporting data quality checks and ensuring consistency of process logic across use cases * Collaborating closely with business and functional stakeholders (e.g. Supply Chain, Order‑to‑Cash, Procure‑to‑Pay) to clarify requirements, validate assumptions, and refine solutions * Applying Celonis best practices and enterprise standards * Contributing to technical documentation, reusable components, and continuous platform improvements * Staying up to date with Celonis capabilities and emerging features * Exploring opportunities related to automation, execution use cases, AI‑enabled insights, and Copilot‑supported capabilities (optional / emerging) ** _Experience and Competencies:_ ** **What we are looking for:** * Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics * Hands‑on experience with Celonis Process Mining, including Object‑Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts * Strong SQL skills with practical experience in data extraction, transformation, validation, and analysis * Fluent English with the ability to work effectively in a global, multicultural environment * Strong analytical mindset with high attention to detail * Experience working with SAP, including exposure to SAP tables is a strong plus * Experience in automation, AI‑enabled analytics, or Copilot‑supported solution **What next?** If you would like to join an innovative, collaborative and multicultural team, please apply now. Your application will be forwarded to a Talent Acquisition Partner, who will strive to get back to you as soon as they can. We understand that applying for a new job is a big decision and we will work hard to keep you updated and support you along the way. ** _About Us:_ ** At Huntsman, we pride ourselves on being a people-oriented organization. Our family-like atmosphere is cultivated by our diverse groups of team members around the world. We welcome the talent, experience and fresh ideas that employees at all stages of their careers, from interns to seasoned professionals, bring to Huntsman. In return, we offer you the opportunity to become an integral part of a dynamic, industry-leading company, where safety and ethics always come first. **Additional Locations:**", "summaryDescription" : "Process Mining Data Engineer at Celonis. Skills: Celonis Process Mining, SQL, Data modeling. Execute process mining development and engineering activities. Translate business requirements into Celonis solutions", "postedDate" : "2026-06-16T03:47:04.339", "createdAt" : "2026-06-16T03:47:04.331", "lastUpdated" : "2026-06-16T12:43:15.521", "ingestTimestamp" : "2026-06-16T03:47:04.331", "mongoId" : "6a3055a1f292fd229cf20673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Process mining", "Data analytics", "Celonis Process Mining", "SQL", "Data modeling", "Process mining development", "Data extraction", "Data transformation", "Data validation", "Data analysis", "Enterprise Process Mining", "SAP tables", "Celonis EPM", "SAP" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8e97f", "title" : "Sr. Manufacturing Quality Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 128600.0, "max" : 213600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, USA", "locations" : [ "Kirkland, Washington, USA" ], "timestamp" : "2026-06-15T02:44:40.385", "fingerprint" : "6452759d78f7ed1022d64992ada49b1ab579be976c7e222839d604412e15629b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101051/apply", "externalId" : "2b63b0b5-fed4-402e-b204-1b45b422e7f7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process definition", "Process validation", "Part qualification", "Process qualification", "Inspection plans", "Inspection capabilities", "Process monitoring", "Product dispositions", "Nonconforming material", "Defect reduction", "Supplier quality", "Verification methods", "Quality SME", "Electromechanical hardware", "High cleanliness", "FOD sensitivity", "Tight tolerance", "High precision", "Machined parts", "Criticality attributes", "Process mechanisms", "Yield performance", "Production data", "Production system", "Continuous improvement", "Kuiper Quality System", "Process development", "Product performance", "Quality assurance", "QMS compliance", "Product requirements", "Process flow diagrams", "PFMEAs", "Control plans", "MSAs", "APQP artifacts" ], "hardSkillsList" : [ "Satellite mechanism assemblies", "High precision assemblies" ], "hardSkills" : [ { "name" : "Satellite mechanism assemblies", "level" : "intermediate" }, { "name" : "High precision assemblies", "level" : "intermediate" } ], "majorSkills" : "Manufacturing Quality, Satellite Assemblies, Defect Reduction", "majorSkillsList" : [ "Manufacturing Quality", "Satellite Assemblies", "Defect Reduction" ], "coreResponsibilities" : "Lead satellite mechanism assemblies, Define and validate assembly methods, Validate test methods, Qualify parts, Qualify processes, Develop inspection plans, Develop in-process inspection capabilities, Develop process monitoring, Lead MRB discussions, Determine product dispositions, Address nonconforming material, Dive deep into defect reduction, Drive innovative solutions, Prevent recurrence of defects, Work with Inspection teams, Work with Supplier Quality, Work with Engineering teams, Develop inspection methods, Qualify inspection methods, Develop monitoring methods, Qualify monitoring methods, Develop verification methods, Qualify verification methods, Ensure no defect mentality, Own defect reduction, Report quality performance, Own quality performance, Lead process mechanisms, Develop process mechanisms, Own yield performance, Set up monitoring systems, Lead projects, Deliver creative solutions, Investigate Production System issues, Reduce defect rates, Drive root cause corrective actions, Drive continuous improvement projects, Implement Kuiper Quality System, Develop processes, Launch sub-assemblies, Report product performance, Partner with cross-functional groups, Qualify product, Qualify processes, Qualify equipment, Develop Quality Assurance processes, Perform audits, Ensure QMS compliance, Ensure product requirements compliance, Develop process flow diagrams, Modify process flow diagrams, Develop PFMEAs, Modify PFMEAs, Develop control plans, Modify control plans, Develop MSAs, Modify MSAs, Develop APQP artifacts, Modify APQP artifacts", "teamCollaboration" : "Cross functional teams; Cross functional production system teams; Cross-functional groups", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Satellite assemblies; Electromechanical hardware; High cleanliness; FOD sensitivity; Tight tolerance; High precision machined parts; AS9100 requirements", "domainList" : [ "satellite-assemblies", "electromechanical-hardware", "high-cleanliness", "fod-sensitivity", "tight-tolerance", "high-precision-machined-parts", "as9100-requirements" ], "domainSpecificKnowledge" : [ "Satellite assemblies", "Electromechanical hardware", "High cleanliness", "FOD sensitivity", "Tight tolerance", "High precision machined parts", "AS9100 requirements" ], "documentationSkills" : "Process flow diagrams; PFMEAs; Control plans; MSAs; APQP artifacts", "innovationCreativity" : "Creative solutions; Innovative solutions; New process mechanisms; Novel process mechanisms", "problemSolvingSkills" : "Root cause analysis; Continuous improvement", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted refugee, Granted asylum", "qualificationsBasic" : "7+ years quality engineer, Developing functional specifications, Design verification plans, Functional test procedures", "qualificationsPreferred" : "Master's degree, Product design execution, Project management technical projects, NPI product qualification methods, RCCA methods, APQP methods, QE aerospace applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Sr. Mfg Quality Engineer, you will have the opportunity to own product performance for some of the most critical sub-assemblies of the satellite, delivering creative solutions to reduce defects, and planning to prevent defects using technical quality skills. 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 • Lead as Product QE over satellite mechanism assemblies, including process definition and validation for assembly and test methods, part and process qualification, inspection plans, in-process inspection capabilities, and process monitoring. • Lead MRB discussions determine product dispositions for nonconforming material. • Dive deep into defect reduction activities for the subassemblies, and drive innovative solutions to prevent recurrence of defects. • Work directly with Inspection, Supplier Quality, and Engineering teams to develop and qualify inspection, monitoring, and verification methods for the Kuiper Production System all through the production system and ensure a no defect mentality. • Be a Quality SME for the sub-assemblies, owning defect reduction, reporting, and overall quality performance of the subassemblies, including electromechanical hardware, high cleanliness/FOD sensitivity, tight tolerance & high precision machined parts, high criticality attributes. • Lead and develop new and novel process mechanisms for cross functional production system teams. A day in the life • Own yield performance for the subassemblies, setting up monitoring systems using production data, and leading projects to creatively deliver solutions to recurring issues in production. • Investigates Production System issues to reduce defect rates and drive root cause corrective actions, and continuous improvement projects. • Implements the Kuiper Quality System through process development and launch sub-assemblies across teams similar to AS9100 requirements. • Own and report out on product performance to quality and manufacturing leadership. • Partners with cross-functional groups to develop and qualify product, processes, and equipment, including Quality Assurance processes. • Perform audits to ensure compliance to QMS and product requirements. • Develop and modify process flow diagrams, PFMEAs, control plans, MSAs, and other APQP artifacts related to satellite sub-assemblies. About the team The Kuiper Manufacturing Quality team is driven to deliver high-quality product lines while maintaining a fast production rate. This position will join the team at an exciting moment, with an opportunity to directly own the quality outputs of some of our critical sub-systems. Basic Qualifications: - Experience in developing functional specifications, design verification plans and functional test procedures - 7+ years as quality engineer owning performance over high precision assemblies Preferred Qualifications: - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - Experience in NPI product qualification methods, including RCCA and APQP methods. - QE experience in aerospace applications. 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 $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Manufacturing Quality Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Manufacturing Quality, Satellite Assemblies, Defect Reduction. Lead satellite mechanism assemblies. Define and validate assembly methods", "postedDate" : "2026-06-13T06:56:13.574", "createdAt" : "2026-06-13T06:56:13.574", "lastUpdated" : "2026-06-15T02:44:40.385", "ingestTimestamp" : "2026-06-13T06:56:13.574", "mongoId" : "68e0a7e2ce260f92cbf8e97f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101051/apply", "salaryAnnualMin" : 128600, "salaryAnnualMax" : 213600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Satellite mechanism assemblies", "High precision assemblies", "Manufacturing Quality", "Satellite Assemblies", "Defect Reduction", "Process definition", "Process validation", "Part qualification", "Process qualification", "Inspection plans", "Inspection capabilities", "Process monitoring", "Product dispositions", "Nonconforming material", "Defect reduction", "Supplier quality", "Verification methods", "Quality SME", "Electromechanical hardware", "High cleanliness", "FOD sensitivity", "Tight tolerance", "High precision", "Machined parts", "Criticality attributes", "Process mechanisms", "Yield performance", "Production data", "Production system", "Continuous improvement", "Kuiper Quality System", "Process development", "Product performance", "Quality assurance", "QMS compliance", "Product requirements", "Process flow diagrams", "PFMEAs", "Control plans", "MSAs", "APQP artifacts", "Project management", "Satellite assemblies", "High precision machined parts", "AS9100 requirements" ], "skillCount" : 45, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c8cee74d8ee00a0977ad5", "title" : "Quality Management System (QMS) Specialist", "company" : "ICEYE", "industry" : "Global Manufacturing Organization", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quality Management System Specialist in Athens, Greece, adjusted for the technology industry and company size." }, "location" : "Greece", "locations" : [ "Greece" ], "timestamp" : "2026-06-16T05:40:05.494", "fingerprint" : "1262aa891aacbbe005204065827d228c6123f9877163864cc2448fe623c47024", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/iceye/99486007-7a9b-470f-a7ff-e4f886a9c477/application", "externalId" : "99486007-7a9b-470f-a7ff-e4f886a9c477", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Athens", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "37.9755648,23.7348324" } ], "locationText" : "Athens, Greece", "employmentType" : "FULL_TIME", "technicalSkills" : "QMS, QA, EHS", "professionalSkills" : [ "Stakeholder management", "Cross-functional alignment", "Continuous improvement" ], "hardSkillsList" : [ "Risk management", "Internal auditing" ], "hardSkills" : [ { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Internal auditing", "level" : "intermediate" } ], "majorSkills" : "Quality Management System, Process improvement, Auditing", "majorSkillsList" : [ "Quality Management System", "Process improvement", "Auditing" ], "coreResponsibilities" : "Implement Quality Management System, Drive production framework maturity, Ensure compliance with requirements, Serve as contact for auditors, Act as internal auditor, Ensure controlled documentation rigor, Define quality metrics, Track quality metrics, Prepare performance reports, Present performance reports, Provide training on QMS processes, Provide coaching on QMS processes, Promote a culture of quality", "teamCollaboration" : "Partner with production; Partner with supply chain", "domainKnowledge" : "ISO 9001; AS9100; AQAP2110; Risk management; RCA; CAPA; FMEA; PDCA; Risk assessments; Environmental topics; Health and safety topics", "domainList" : [ "iso-9001", "as9100", "aqap2110", "risk-management", "rca", "capa", "fmea", "pdca", "risk-assessments", "environmental-topics", "health-and-safety-topics" ], "domainSpecificKnowledge" : [ "ISO 9001", "AS9100", "AQAP2110", "Risk management", "RCA", "CAPA", "FMEA", "PDCA", "Risk assessments", "Environmental topics", "Health and safety topics" ], "communicationSkills" : "Excellent communication; Documentation skills", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "specialRequirements" : "Applicable security screening, SUPO screening", "qualificationsBasic" : "5+ years in quality, engineering, operations, compliance, or process improvement roles, Degree in Engineering, Quality, Business, or related field, Experience with digital QMS systems, Experience with data-driven improvement methods, Audit experience", "qualificationsPreferred" : "Process management experience, Facilitation skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ROLE HIGHLIGHTS - QMS Specialist - Location: Athens, Greece - Department: GMO – Manufacturing Assurance - Reports to: Global QMS Manager - Employment type: Permanent - Workplace model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters The Quality Management System (QMS) Specialist/engineer is responsible for implementation of the ICEYEs Quality Management System in our Greece production unit to ensure consistent delivery of products and services that meet customer, regulatory, and industry standards. In this role you will partner closely with production, supply chain teams to ensure that our processes are aligned with business goals and embedded into daily practices. This role will report to the Global Quality Management System (QMS) manager and operate as a standalone position within the Greece facility. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Ensures ICEYE Quality Management System is fully implemented in our Greece facility - Drive ICEYE production framework maturity increase in Greece - be the subject matter expert for QMS, QA, Health and safety and environmental topics. - Ensure compliance with regulatory, customer, and industry requirements, including environmental and health and safety regulation; serve as the main point of contact for auditors and certification bodies. - Act as an internal auditor in our internal process audits covering quality and EHS topics. - Ensure controlled documentation rigor in Greece operations - Define and track quality KPIs; prepare and present regular performance reports to leadership. - Provide training and coaching on QMS processes, standards, and quality tools; promote a culture of quality throughout the organization. What we’re looking for Must haves: - 5+ years in quality, engineering, operations, compliance, or process improvement roles. - Degree in Engineering, Quality, Business, or related field. - Strong experience with digital QMS systems and data-driven improvement methods. - Strong knowledge of QMS standards (ISO 9001 required; AS9100, AQAP2110 or similar beneficial). - Experience with quality tools and risk management (RCA, CAPA, FMEA, PDCA, risk assessments). - Audit experience - Excellent communication, documentation, and stakeholder management skills. - Ability to drive cross-functional alignment and continuous improvement. Nice to haves: - Ability to work under pressure and in a rapidly changing environment. - Strong process management experience and facilitation skills - Excellent problem-solving, analytical, and organizational skills. - Effective communication, training, and leadership abilities APPLICATION PROCESS - TA interview - Hiring Manager video interview - Home task + task review interview - Final onsite interviews Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.", "summaryDescription" : "Quality Management System (QMS) Specialist at ICEYE. Skills: Quality Management System, Process improvement, Auditing. Implement Quality Management System. Drive production framework maturity", "createdAt" : "2026-06-14T20:16:55.489", "lastUpdated" : "2026-06-16T05:40:05.494", "ingestTimestamp" : "2026-06-14T20:16:55.489", "mongoId" : "6a2c8cee74d8ee00a0977ad5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Risk management", "Internal auditing", "Quality Management System", "Process improvement", "Auditing", "Stakeholder management", "Cross-functional alignment", "Continuous improvement", "ISO 9001", "AS9100", "AQAP2110", "RCA", "CAPA", "FMEA", "PDCA", "Risk assessments", "Environmental topics", "Health and safety topics" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa8cf74d8ee00a06c0f60", "title" : "Consultant, Business System Analysis", "company" : "Cibc", "industry" : "Financial Services", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Business System Analyst in Toronto, Canada, adjusted for the banking industry and company size." }, "location" : "Toronto, ON", "locations" : [ "Toronto, ON", "Canada" ], "timestamp" : "2026-06-14T18:32:48.842", "fingerprint" : "6ee74da32511db23b1fe7b2cc26fee255433b6c66324c30e0b21f1af8e927933", "source" : "workday", "language" : "en", "applyUrl" : "https://cibc.wd3.myworkdayjobs.com/search/job/Toronto-ON/Consultant--Business-System-Analysis_2611965", "externalId" : "2611965", "industryFunction" : { }, "locationPoint" : "-33.01357,151.59373", "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Business Systems", "Solution design", "Enterprise architecture" ], "hardSkillsList" : [ "Investigating complex problems", "Communicating detailed information" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Investigating complex problems", "level" : "intermediate" }, { "name" : "Communicating detailed information", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Business System Analysis, Solution design, Project implementation", "majorSkillsList" : [ "Business System Analysis", "Solution design", "Project implementation" ], "coreResponsibilities" : "Lead complex projects, Design strategic solutions, Support end-to-end project implementation, Act as subject matter expert, Ideate solutions, Collaborate with diverse team, Create flexible solutions, Set up innovative solutions, Gather business requirements, Facilitate solution design discussions, Create relationships, Lead discussions, Listen to business partners, Ask right questions, Assemble client-focused solutions, Prepare solution design documents, Validate solution design documents, Provide guidance to team, Maintain collaborative work environment, Support team members, Resolve organizational problems, Resolve operational problems, Resolve process problems", "teamCollaboration" : "Diverse team; Technology professionals; Project professionals", "projectManagementSkills" : [ "Project implementation" ], "domainKnowledge" : "Enterprise architecture roadmap", "domainList" : [ "enterprise-architecture-roadmap" ], "domainSpecificKnowledge" : [ "Enterprise architecture roadmap" ], "communicationSkills" : "Share expertise", "documentationSkills" : "Documenting requirements; Solution design documents", "continuousLearning" : "Invest in growth and development", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Investigating complex problems; Making sense of information", "outcomesObjectives" : "Deliver best-in-class client experience", "qualificationsBasic" : "3 years in a BSC role, Leading projects, Designing solutions", "qualificationsPreferred" : "Experience with Agile methodologies, Application development experience, Architecture development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit [CIBC.com](https://www.cibc.com/en/about-cibc.html) **What you 'll be doing** You’ll be joining CIBC’s Finance. You’ll lead complex projects to design strategic solutions aligned to CIBC’s enterprise architecture roadmap. As a Business Systems Consultant (BSC), you’ll support end-to-end project implementation and act as a subject matter expert in both business and technology. You’ll ideate and collaborate with a diverse team to create and set up flexible, innovative solutions that deliver a best-in-class client experience. **How you 'll succeed** * **Understanding and documenting requirements -** Work closely with business partners to gather complicated business requirements and facilitate solution design discussions to ensure you meet project needs. Create strong relationships, lead discussions, listen and ask the right questions to ensure solutions meet requirements. * **Solution design -** Assemble client-focused solutions that meet business requirements. Prepare and validate solution design documents around areas such as scope clarification, solution requirements, and quality assurance. * **Leading and mentoring** – Support end-to-end project implementation as a subject matter expert, and provide guidance to a diverse team of technology and project professionals. Maintain a collaborative work environment and support team members to resolve organizational, operational, and process problems. **Who you are** * **You have a degree/diploma in** Computer Science, Business, and/or a related field, and you’ve spent at least 3 years in a BSC role leading projects and designing solutions. It’s an asset if you have experience with Agile methodologies, and Application and/or Architecture Development. * **You put our clients first.** You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do. * **You give meaning to data.** You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. * **You 're inspired by collective success. **You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life. * **Your influence makes a difference.** You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. * **Values matter to you**. You bring your real self to work and you live our values - trust, teamwork, and accountability. #LI-TA **What CIBC Offers** At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck. * We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program. * Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients. * We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development. *Subject to plan and program terms and conditions **What you need to know** * CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [Mailbox.careers-carrieres@cibc.com](mailto:Mailbox.careers-carrieres@cibc.com) * CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. * You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit. * We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency). * We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us. **Job Location** Toronto-81 Bay, 27th Floor **Employment Type** Regular **Weekly Hours** 37.5 **Skills** Business Systems, Investigating, Solution Requirements", "summaryDescription" : "Consultant, Business System Analysis at Cibc. Skills: Business System Analysis, Solution design, Project implementation. Lead complex projects. Design strategic solutions", "postedDate" : "2026-06-11T04:36:31.453", "createdAt" : "2026-06-12T04:36:31.382", "lastUpdated" : "2026-06-14T18:32:48.842", "ingestTimestamp" : "2026-06-12T04:36:31.382", "mongoId" : "6a2aa8cf74d8ee00a06c0f60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://cibc.wd3.myworkdayjobs.com/search/job/Toronto-ON/Consultant--Business-System-Analysis_2611965", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Investigating complex problems", "Communicating detailed information", "Mentoring", "Business System Analysis", "Solution design", "Project implementation", "Business Systems", "Enterprise architecture", "Enterprise architecture roadmap" ], "skillCount" : 9, "jobCategory" : "consulting", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "69164da070f0b99d586f3021", "title" : "Sr. Manufacturing Quality Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 128600.0, "max" : 213600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Merritt Island, Florida, USA", "locations" : [ "Merritt Island, Florida, USA" ], "timestamp" : "2026-06-14T22:21:50.491", "fingerprint" : "c9c82032a7dff94c9177aa7d02516663990dc44190e59a98b7550093ea625aaa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123241/apply", "externalId" : "38a976ea-c6fd-4aaf-b47a-f7113bedb28b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Merritt Island", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.2662775,-80.6636984" } ], "locationText" : "Merritt Island, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "APQP, PFMEA, MSA", "professionalSkills" : [ "Process definition", "Process validation", "Part qualification", "Process qualification", "Inspection plans", "Inspection capabilities", "Process monitoring", "Root cause analysis", "Continuous Improvement", "QMS requirements", "Process flow diagrams", "Control plans" ], "hardSkillsList" : [ "Quality management", "Material review", "Nonconforming material disposition", "Production system issues", "Quality assurance" ], "hardSkills" : [ { "name" : "Quality management", "level" : "intermediate" }, { "name" : "Material review", "level" : "intermediate" }, { "name" : "Nonconforming material disposition", "level" : "intermediate" }, { "name" : "Production system issues", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" } ], "majorSkills" : "Quality System Development, Process Development, Root Cause Analysis", "majorSkillsList" : [ "Quality System Development", "Process Development", "Root Cause Analysis" ], "coreResponsibilities" : "Develop Kuiper Quality management activities, Define assembly methods, Validate assembly methods, Define test methods, Validate test methods, Qualify parts, Qualify processes, Develop receiving inspection plans, Develop in-process inspection capabilities, Develop process monitoring capabilities, Lead Material Review Board discussions, Determine product dispositions, Lead Quality Management System development, Lead Quality Management System launch, Perform root cause corrective action activities, Develop inspection methods, Qualify inspection methods, Develop monitoring methods, Qualify monitoring methods, Develop verification methods, Qualify verification methods, Resolve daily defects, Investigate Production System issues, Reduce defect rates, Drive root cause corrective actions, Implement Kuiper Quality System, Develop internal production processes, Qualify internal production processes, Conduct Continuous Improvement activities, Prevent non-conformances during assembly, Perform audit activities, Ensure compliance to QMS requirements, Develop process flow diagrams, Modify process flow diagrams, Develop PFMEAs, Modify PFMEAs, Develop control plans, Modify control plans, Develop MSAs, Modify MSAs", "teamCollaboration" : "Cross-functional groups; Receiving Inspection teams; Supplier Quality teams; Engineering teams", "domainKnowledge" : "Aerospace quality; Satellite broadband; AS9100; Launch vehicle payload processing", "domainList" : [ "aerospace-quality", "satellite-broadband", "as9100", "launch-vehicle-payload-processing" ], "domainSpecificKnowledge" : [ "Aerospace quality", "Satellite broadband", "AS9100", "Launch vehicle payload processing" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as refugee, Granted asylum, Obtain US Passport, Meet customs entry requirements, Yellow Fever vaccine, Other immunization requirements, Pass KSC background checks, Travel to French Guiana", "qualificationsBasic" : "5+ years large product assembly quality engineering, 5+ years manufacturing quality engineering, 5+ years operations quality engineering, Experience developing functional specifications, Experience developing design verification plans, Experience developing functional test procedures", "qualificationsPreferred" : "Master's degree in electrical engineering, Master's degree in computer engineering, Experience working with interdisciplinary teams, Experience executing product design from concept to production, Experience with project management of technical projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. The Kuiper Payload Processing Quality team is driven to develop a Kuiper Quality System that is capable of scaling aerospace quality to volume and cost levels to meet end customer needs. This position will join the team at an exciting moment, with an opportunity to own quality system development and contribute to the design of requirements, processes, and systems used across the business. Key job responsibilities - Develop and lead Kuiper Quality management activities, including process definition and validation for assembly and test methods, part and process qualification, receiving inspection plans, in-process inspection capabilities, and process monitoring capabilities. - Lead Material Review Board discussions in Amazon's Finished Satellite Payload Processing facility, determining product dispositions for nonconforming material. - Lead the development and launch of multiple aspects of the Quality Management System across Project Kuiper. - Dive deep into root cause corrective action activities for the production processes immediately before Project Kuiper satellites are loaded in the launch vehicle. - Work directly with Receiving Inspection, Supplier Quality, and Engineering teams to develop and qualify inspection, monitoring, and verification methods for the Kuiper Production System. - Be a subject matter expert in launch vehicle payload processing quality assurance for the Kuiper Production System. A day in the life - Perform daily defect resolution as the Quality member. - Investigates Production System issues to reduce defect rates and drive root cause corrective actions - Implements the Kuiper Quality System through process development and launch mechanisms. - Partners with cross-functional groups to develop and qualify internal production processes, including Quality Assurance processes - Conduct rigorous Continuous Improvement activities to prevent recurrence of non-conformances during assembly. - Perform audit activities to ensure compliance to QMS requirements. - Develop and modify process flow diagrams, PFMEAs, control plans, MSAs, and other APQP artifacts to support continued high quality production. - Working within an AS9100 (or similar) certified quality system Additional Requirements: - Must be able to obtain and maintain a US Passport and must meet customs entry requirements to include but not limited to: Yellow Fever vaccine and other immunization requirements as recommended by the U.S. Centers for Disease Control and Prevention - Must be able to pass Kennedy Space Center background checks - Willing to travel to French Guiana for 45 calendar days per year About the team Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has 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. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Basic Qualifications: - Experience in developing functional specifications, design verification plans and functional test procedures - 5+ years of experience in large product assembly quality engineering, manufacturing, or operations throughout a production lifecycle development. Preferred Qualifications: - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects 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 $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Manufacturing Quality Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Quality System Development, Process Development, Root Cause Analysis. Develop Kuiper Quality management activities. Define assembly methods", "postedDate" : "2026-06-12T23:58:23.352", "createdAt" : "2026-06-12T23:58:23.352", "lastUpdated" : "2026-06-14T22:21:50.491", "ingestTimestamp" : "2026-06-12T23:58:23.352", "mongoId" : "69164da070f0b99d586f3021", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123241/apply", "salaryAnnualMin" : 128600, "salaryAnnualMax" : 213600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quality management", "Material review", "Nonconforming material disposition", "Production system issues", "Quality assurance", "Quality System Development", "Process Development", "Root Cause Analysis", "Process definition", "Process validation", "Part qualification", "Process qualification", "Inspection plans", "Inspection capabilities", "Process monitoring", "Root cause analysis", "Continuous Improvement", "QMS requirements", "Process flow diagrams", "Control plans", "Aerospace quality", "Satellite broadband", "AS9100", "Launch vehicle payload processing" ], "skillCount" : 24, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a307f2df292fd229c055eac", "title" : "Staff Data Scientist, Discover Personalization and Quality", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Data Scientist in Mountain View, CA, adjusted for the technology industry and a large company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:46:29.512", "fingerprint" : "1b753ce697dfd232a32fa54cf67500ba9977d28e7d9b8f4f918c6432c0ce4afb", "source" : "google", "language" : "en", "externalId" : "92402841288614598", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Data science, Personalization, Quality", "majorSkillsList" : [ "Machine learning", "Data science", "Personalization", "Quality" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement experiments, Analyze data to identify trends, Build and maintain data pipelines, Collaborate with engineering teams, Communicate findings to stakeholders, Mentor junior data scientists", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Stakeholders", "domainKnowledge" : "Personalization systems; Data quality frameworks; Recommendation engines; User behavior analysis", "domainList" : [ "personalization-systems", "data-quality-frameworks", "recommendation-engines", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis" ], "toolProficiency" : [ "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Technical presentations; Data storytelling", "documentationSkills" : "Technical documentation; Model documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve personalization algorithms; Enhance data quality; Drive product innovation", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "summaryDescription" : "Staff Data Scientist, Discover Personalization and Quality. Skills: Machine learning, Data science, Personalization, Quality. Develop and deploy machine learning models. Design and implement experiments", "postedDate" : "2026-06-16T01:48:49.459", "createdAt" : "2026-06-16T01:48:49.459", "lastUpdated" : "2026-06-16T10:46:29.512", "ingestTimestamp" : "2026-06-16T01:48:49.459", "mongoId" : "6a307f2df292fd229c055eac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference", "Personalization", "Quality", "Data modeling", "Statistical analysis", "Experiment design", "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f736", "title" : "Display and System Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the automotive industry market baseline for a Senior Display and System Engineer in Beijing, China, with adjustments for mid-level experience and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T06:25:22.221", "fingerprint" : "3a2f5d50d7b7cf11026ebb3ae6fe4aa3131c12b69411e9dbe4275b11d4c85ef0", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=894850", "externalId" : "894850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "technicalSkills" : "EE hardware, EE architecture, CAN FD, Ethernet bus, Vector toolchain", "professionalSkills" : [ "Component development", "Localization evaluation", "Supplier management", "Project management", "System testing", "Vehicle testing", "Organizational skills" ], "hardSkillsList" : [ "Optical design", "Mechanical design", "EE diagnostic", "Troubleshooting", "EE testing", "Bus measurement" ], "softSkillsList" : [ "Self-responsible", "Intercultural competence" ], "hardSkills" : [ { "name" : "Optical design", "level" : "intermediate" }, { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "EE diagnostic", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "EE testing", "level" : "intermediate" }, { "name" : "Bus measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-responsible" }, { "name" : "Intercultural competence" } ], "majorSkills" : "Display development, EE hardware, Optical design, Mechanical design", "majorSkillsList" : [ "Display development", "EE hardware", "Optical design", "Mechanical design" ], "coreResponsibilities" : "Lead global display project, Manage display development, Conduct localization evaluation, Conduct POC, Build knowhow, Exchange knowhow, Manage development projects, Release to production, Ensure parts on time, Fulfill function, Ensure development projects, Coordinate activities, Pursue time schedules, Support system testing, Support vehicle testing, Support vehicle release", "teamCollaboration" : "Cross functional team; China teams; RD GER counterpart; Cross-functional departments; Procurement; Quality; Logistics", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Display industry; EE architecture; Communication protocol; Diagnostic protocol", "domainList" : [ "display-industry", "ee-architecture", "communication-protocol", "diagnostic-protocol" ], "domainSpecificKnowledge" : [ "Display industry", "EE architecture", "Communication protocol", "Diagnostic protocol" ], "toolProficiency" : [ "Vector CANoe", "NX", "Smaragd" ], "communicationSkills" : "Intercultural competence", "problemSolvingSkills" : "Troubleshooting; Diagnose", "specialRequirements" : "Willingness to travel", "outcomesObjectives" : "Provide parts on time; Fulfill function as required", "qualificationsBasic" : "5-7 years vehicle component development, Display industry experience, EE components development, EE localization experience, CAD experience, EE diagnostic experience, Troubleshooting experience, Vehicle level EE testing, CAN FD/Ethernet bus measurement, Optical design experience, Mechanical design experience, Validation experience", "qualificationsPreferred" : "MDS process knowledge, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job • As component main responsible person, leading global display project incl. development, localization and supplier management in collaboration with different RD localizations and cross functional team. • Focus on both display EE hardware and optical/mechanical design, work together with current team to ensure other development projects. • Troubleshooting and diagnose for related rollout carlines globally. Main Tasks • In cooperation with the responsible China teams and suppliers for open source localization evaluation and conduct POC if necessary • Close communication with RD GER counterpart for knowhow build up and exchange incl. component/ system development and testing • Manage global display development projects till PPAP release to series production for making sure to provide the parts on time and fulfill the function as required • Work together with current team to ensure other development projects • Work together with cross-functional departments, e.g. procurement, quality and logistics, set up localization milestones as well as coordinate activities to pursue tight time schedules. • Support system and vehicle testing and release. Education University degree in mechanical, automotive or electrical engineering Experience Applicants with minimum 5-7 years in overall vehicle or component development at OEMs or suppliers, proven work experience in Display industry: EE components development and localization, CAD, EE diagnostic & troubleshooting & vehicle level EE testing (incl. CAN FD/Ethernet bus measurement), optical and mechanical design and validation. Specific Knowledge • Rich Knowledge and experience in EE area, familiar with EE architecture. Known MDS process is plus • Experience in development task with necessary knowhow, focus on display development and industrialization. • Understanding communication and diagnostic protocol, experience with Vector toolchain (CANoe etc.) Understand how to read and use EE architecture topology. • Knowledge and familiar with NX, Smaragd and diagnose tools • Chinese native speaker with fluent English language skills, German language beneficial • Self-responsible working attitude and initiative • Strong planning and organizational skills • Intercultural competence and communication skills with various hierarchy levels • Willingness to travel inside China and abroad to prepare and support launches at JV / suppliers Mercedes-Benz Group China Ltd.", "summaryDescription" : "Display and System Engineer at Mercedes-Benz Group China Ltd.. Skills: Display development, EE hardware, Optical design, Mechanical design. Lead global display project. 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Stakeholders", "domainKnowledge" : "Cloud data platforms; ML frameworks; BI platforms; Data modelling; Statistical methods", "domainList" : [ "cloud-data-platforms", "ml-frameworks", "bi-platforms", "data-modelling", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data platforms", "ML frameworks", "BI platforms", "Data modelling", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Data Analytics Process Lead Location: Newark, New Jersey Job Type: Full-time (Hybrid (3 days a week in office)) About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Data Analytics Process Lead to support data analytics initiatives for a utility customer experience organization. This role will serve as the primary project manager and business liaison for analytics-related initiatives, working closely with program managers, IT, business stakeholders, and analytics resources. The ideal candidate has strong experience leading data-driven projects, gathering business requirements, supporting dashboard and reporting delivery, and translating business needs into practical analytics solutions. This is a senior, business-facing role requiring a strong mix of project management, process improvement, stakeholder communication, and technical analytics experience. The work may include Power BI dashboards, reporting solutions, data lake enhancements, executive reporting, business cases, and coordination across business and technical teams. Key Responsibilities - Serve as the project manager and primary point of contact for client’s data analytics initiatives. - Coordinate activities across program management, IT, analytics teams, business stakeholders, and external vendors. - Lead the planning, execution, monitoring, and delivery of analytics projects, including dashboards, reporting solutions, and data lake-related initiatives. - Develop and maintain project plans, roadmaps, status reports, risk assessments, and executive-level communications. - Facilitate stakeholder workshops and meetings to gather, document, and validate business requirements. - Translate business needs into functional specifications, user stories, data requirements, and analytics development priorities. - Partner with program managers, process leads, and business stakeholders to identify opportunities for data-driven process improvements and operational efficiencies. - Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. - Ensure analytics solutions meet business objectives, usability expectations, and enterprise data governance standards. - Develop executive presentations, business cases, and communication materials that summarize project progress, findings, recommendations, business impacts, and analytics insights. - Build strong working relationships across business and technology organizations to support successful delivery. - Lead technical discussions, support analytics best practices, and provide oversight to analytics resources when needed. Qualifications - Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, Finance, or a related discipline. - 7+ years of relevant professional experience in project management, business analysis, process improvement, data analytics, reporting, or related fields. - 5+ years of experience in data analytics, business intelligence, data science, or a related field. - Experience managing cross-functional projects and coordinating work among business stakeholders, IT teams, analytics teams, and external vendors. - Strong experience gathering business requirements, facilitating workshops, documenting processes, and translating business needs into technical solutions. - Experience leading or providing technical oversight to analytics resources. - Experience developing or supporting SQL solutions, data models, and ETL/ELT processes within enterprise data environments. - Experience with Power BI dashboards and reports, or equivalent business intelligence and data visualization solutions. - Experience working with large datasets, relational databases, and enterprise reporting environments. - Familiarity with AWS cloud services supporting data integration, data lake, analytics, or reporting solutions. - Experience using Python for analytics, automation, statistical modeling, or AI/ML solution development. - Strong presentation, facilitation, written communication, and executive communication skills. - Strong analytical, problem-solving, organizational, and project management skills. - Ability to build collaborative relationships and influence stakeholders across multiple organizations. - Ability to manage multiple priorities and deliver results in a fast-paced environment. Preferred Experience - MBA or advanced degree in Business, Data Analytics, Information Systems, or a related field. - PMP certification or equivalent project management credential. - Experience serving as a Product Owner, Program Lead, Analytics Project Manager, Business Analyst, or Business Process Lead for enterprise analytics initiatives. - Experience supporting customer experience, energy efficiency, utility operations, or other process-focused organizations. - Familiarity with data governance, data quality, responsible AI practices, data warehousing, data lake architecture, and enterprise data management. - Experience developing business cases, investment justifications, executive reporting materials, and leadership presentations. - Understanding of Agile, Scrum, or other project delivery methodologies. - Experience coordinating consultants, contractors, analytics resources, or cross-functional project teams. Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.", "summaryDescription" : "Data Analytics Process Lead at CARIAN. Skills: Data Analytics, Data Science, Machine Learning, Business Intelligence. Develop and implement data analytics solutions. Build and maintain data pipelines", "createdAt" : "2026-06-14T19:22:29.006", "lastUpdated" : "2026-06-16T06:04:05.575", "ingestTimestamp" : "2026-06-14T19:22:29.006", "mongoId" : "6a2c772974d8ee00a093be51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills", "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data platforms", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e437f8b1b0376634c871", "title" : "SW Development Manager, Trainium Manufacturing, Quality and Reliability", "company" : "Annapurna Labs", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T04:22:55.748", "fingerprint" : "173a5161282cbb38cde153d4eee498b533189fff74ee73b0f173edba476a7114", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072626/apply", "externalId" : "36abfd36-5daf-4b73-9d2d-f54ebbf3ec43", "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", "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, AI hardware, Software development, Firmware development, Hardware development, System design", "professionalSkills" : [ "Manufacturing test", "Data automation", "Test coverage", "Validation methodologies", "High volume manufacturing", "Quality assurance", "Reliability engineering" ], "hardSkillsList" : [ "Test development", "Deployment automation", "Diagnostic mechanisms", "Yield analysis", "Hardware/software co-design" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Test development", "level" : "intermediate" }, { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "Diagnostic mechanisms", "level" : "intermediate" }, { "name" : "Yield analysis", "level" : "intermediate" }, { "name" : "Hardware/software co-design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Manufacturing test, Data automation, Quality and reliability, AI products", "majorSkillsList" : [ "Manufacturing test", "Data automation", "Quality and reliability", "AI products" ], "coreResponsibilities" : "Scale and manage manufacturing test team, Scale and manage data automation engineers, Drive test coverage improvement strategies, Develop manufacturing validation methodologies, Develop validation infrastructures, Collaborate with Manufacturing engineering, Collaborate with Quality and Reliability, Collaborate with HW design teams, Collaborate with Fleet Operations teams, Collaborate with Infrastructure teams, Ensure delivery of high quality systems, Own test deployment schedules, Report key performance indicators, Monitor global high volume manufacturing sites, Monitor global vendors, Collaborate with global teams, Provide technical mentoring", "teamCollaboration" : "Manufacturing engineering teams; Quality and Reliability teams; HW design teams; Fleet Operations teams; Infrastructure teams; ODM/CM manufacturing sites; AWS data centers; Global teams", "projectManagementSkills" : [ "Test deployment schedules", "Reporting" ], "domainKnowledge" : "AI products; Machine Learning Acceleration; Hardware/software co-design; Cloud Services; Manufacturing test FW/SW", "domainList" : [ "ai-products", "machine-learning-acceleration", "hardware-software-co-design", "cloud-services", "manufacturing-test-fw-sw" ], "domainSpecificKnowledge" : [ "AI products", "Machine Learning Acceleration", "Hardware/software co-design", "Cloud Services", "Manufacturing test FW/SW" ], "toolProficiency" : [ "Test automation frameworks" ], "communicationSkills" : "Technical designs; Product strategy", "continuousLearning" : "Mentorship programme; Leadership development", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "24x7 operations", "outcomesObjectives" : "Deliver high quality systems; Ensure high efficiency operations", "qualificationsBasic" : "3+ years engineering team management, 7+ years working within engineering teams, 3+ years designing or architecting systems, Knowledge of engineering practices, Experience partnering with product management, 3+ years high volume manufacturing environments, Bachelor's or Master's degree", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience with statistical yield analysis, Experience with ML/AI hardware systems, Familiarity with server environments, Knowledge of hardware/software co-design, Experience with test automation frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Trainium Manufacturing, Quality and Reliability (MQR) Team is part of AWS Annapurna Labs responsible for the end to end manufacturing and deployment of these cutting edge AI products and system designs for the world’s largest Cloud Services provider. The MQR team is looking for candidates interested in leading the manufacturing test team responsible for developing and deploying manufacturing test FW/SW content to our global manufacturing lines. The scope of this role includes working closely with the HW design teams to identify, define and develop test content while building scalable deployment, data automation and diagnostic mechanisms to ensure high efficiency operations across our global manufacturing partner sites. You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Test Development manager, you are responsible for working with the Lead Manufacturing Test Engineer to identify key test coverage gaps based on manufacturing and fleet performance for the current and next generation Machine Learning Acceleration (MLA) product family. You will lead the team to deliver solutions addressing these needs. Key responsibilities include * Scale and manage a team of manufacturing test and data automation engineers * Drive test coverage improvement strategies * Develop manufacturing validation methodologies and infrastructures * Collaborate with Manufacturing engineering, Quality and Reliability, HW design, Fleet Operations and Infrastructure teams teams to ensure delivery of high quality systems to ODM/CM manufacturing sites and AWS data centers * Own test deployment schedules and periodic reporting of key performance indicators * Closely monitor global high volume manufacturing sites/vendors * Collaborate with global teams to provide 24x7 operations * Provide technical mentoring for the team. About the team AWS is the world’s leading and most trusted provider of virtualized public cloud utility services. We offer our global IT customer base who span private, corporate and government sectors, over 100 fully featured, integrated services in Gen AI, compute, storage, database, analytics, mobile, Internet of Things (IOT) and enterprise applications. AWS operates a worldwide fleet of interconnected enterprise data centers at hyperscale to deliver the capacity that powers our customers IT infrastructure which enables their ability to concentrate on core competencies through agility and operational efficiency. To learn more about AWS, visit https://aws.amazon.com 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 customers who require specialized security solutions for their cloud services. Annapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro, Graviton, Inferentia, and Trainium families of processors. Machine Learning Annapurna (MLA) functions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization. We are the Trainium Servers and Systems organization under MLA focused on Hardware Development, Software Development, Fleet Ops Systems, and Manufacturing, Quality, and Reliability. This position is in the Manufacturing, Quality and Reliability team. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and leadership development. We care about your career growth and strive to assign projects that help our team members develop your leadership and technical expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - 3+ years experience working with high volume manufacturing environments - Bachelor's or Master's degree in electrical engineering, computer engineering, computer science or equivalent Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software and Hardware Engineers to improve their skills, and make them more effective - Experience with statistical yield analysis - Experience working in high-volume manufacturing environments, particularly with ODM/CM partners - Experience implementing and maintaining test solutions at scale - Experience with ML/AI hardware systems and accelerators - Familiarity with server and data center environments - Knowledge of hardware/software co-design and validation techniques - Experience with continuous integration and test automation frameworks Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/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" : "SW Development Manager, Trainium Manufacturing, Quality and Reliability at Annapurna Labs. Skills: Manufacturing test, Data automation, Quality and reliability, AI products. Scale and manage manufacturing test team. Scale and manage data automation engineers", "postedDate" : "2026-06-13T03:16:50.530", "createdAt" : "2026-06-13T03:16:50.530", "lastUpdated" : "2026-06-15T04:22:55.748", "ingestTimestamp" : "2026-06-13T03:16:50.530", "mongoId" : "68c2e437f8b1b0376634c871", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072626/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Test development", "Deployment automation", "Diagnostic mechanisms", "Yield analysis", "Hardware/software co-design", "Leadership", "Mentoring", "Manufacturing test", "Data automation", "Quality and reliability", "AI products", "Test coverage", "Validation methodologies", "High volume manufacturing", "Quality assurance", "Reliability engineering", "Test deployment schedules", "Reporting", "Machine Learning Acceleration", "Cloud Services", "Manufacturing test FW/SW", "Test automation frameworks" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c691174d8ee00a0905de9", "title" : "In-Process Quality Assurance Engineer", "company" : "T1 Energy", "industry" : "Operations", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an In-Process Quality Assurance Engineer in Dallas, USA, adjusted for mid-seniority and the manufacturing industry." }, "location" : "Dallas, TX", "locations" : [ "Dallas, TX" ], "timestamp" : "2026-06-15T09:28:18.305", "fingerprint" : "0f64002e17537841a77ebf90c08d037f93d6aa1424414e571c2b608c9c8fb2c7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/t1energy/3a0b2b81-a044-4287-8fce-f733cb7ca67d/application", "externalId" : "3a0b2b81-a044-4287-8fce-f733cb7ca67d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "technicalSkills" : "SPC, Data analysis, Process control", "professionalSkills" : [ "Process development", "Root cause analysis", "CAPA development", "Process audits", "Quality control", "Quality systems", "Technical documentation", "Data reporting", "Technical guidance" ], "hardSkillsList" : [ "Precision measurement", "Tensile strength testing", "Material verification", "Chemical testing" ], "hardSkills" : [ { "name" : "Precision measurement", "level" : "intermediate" }, { "name" : "Tensile strength testing", "level" : "intermediate" }, { "name" : "Material verification", "level" : "intermediate" }, { "name" : "Chemical testing", "level" : "intermediate" } ], "majorSkills" : "In-process quality, Root cause analysis, CAPA, SPC", "majorSkillsList" : [ "In-process quality", "Root cause analysis", "CAPA", "SPC" ], "coreResponsibilities" : "Conduct quality inspections, Conduct process audits, Assess product adherence, Assess process adherence, Identify quality abnormalities, Identify process deviations, Identify recurring defects, Isolate non-conforming materials, Label non-conforming materials, Classify non-conforming materials, Lead troubleshooting, Drive CAPA development, Implement CAPA effectiveness, Partner on corrective actions, Implement SPC methods, Maintain SPC methods, Develop SOPs, Maintain SOPs, Develop work instructions, Maintain work instructions, Develop control plans, Maintain control plans, Contribute to FMEA development, Oversee laboratory sampling, Oversee laboratory testing, Monitor lab equipment, Test lab equipment, Maintain lab equipment, Record inspection data, Analyze inspection data, Analyze laboratory data, Identify quality trends, Surface quality trends, Own quality metrics, Develop quality reports, Communicate findings, Drive accountability, Support production targets, Drive quality improvements, Train IPQA technicians, Provide technical guidance", "teamCollaboration" : "Process teams; Engineering teams; Production teams; Cross-functional collaboration", "domainKnowledge" : "Solar manufacturing; Advanced manufacturing; Quality systems; ISO 9001; FMEA; CAPA; SPC", "domainList" : [ "solar-manufacturing", "advanced-manufacturing", "quality-systems", "iso-9001", "fmea", "capa", "spc" ], "domainSpecificKnowledge" : [ "Solar manufacturing", "Advanced manufacturing", "Quality systems", "ISO 9001", "FMEA", "CAPA", "SPC" ], "toolProficiency" : [ "Microsoft ERP/MES" ], "communicationSkills" : "Technical communication; Cross-shift communication; Inter-departmental communication; Leadership communication", "documentationSkills" : "Documentation habits; Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data analysis", "outcomesObjectives" : "Ensure module quality standards; Ensure process consistency; Ensure process repeatability; Drive accountability", "qualificationsBasic" : "Bachelor's degree in Engineering, 3–5 years quality engineering experience, Familiarity with SPC, Familiarity with FMEA, Familiarity with control plans, Familiarity with precision measurement tools, Familiarity with technical drawings, Basic understanding of ISO 9001, Basic understanding of SOPs, Basic understanding of quality auditing practices, Analytical skills, Hands-on experience with precision measurement tools, Ability to read technical blueprints, Attention to detail, Accurate documentation habits, Effective communicator, Hands-on mindset, Ability to manage multiple priorities", "qualificationsPreferred" : "Manufacturing solar experience preferred, Semiconductor experience preferred, Electronics experience preferred, Advanced manufacturing experience preferred, Proficient in Microsoft ERP/MES, Quality database experience is a plus, Analytical skills, Communication skills, Documentation skills, Bilingual in Spanish is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "T1 Energy is bringing solar manufacturing back to the U.S. by building a domestic solar supply chain. Our mission is to invigorate America with scalable, reliable, and low-cost energy. Our fully operational 5GW solar module facility in Wilmer, Texas, can manufacture more than 20,000 modules every 24 hours. By the time you finish reading this paragraph, we will have produced two solar panels that will power American homes and fuel domestic AI. We're focused on building advanced American manufacturing and we're passionate about engineering a better future filled with abundant energy. The Role T1 Energy is seeking an experienced IPQA Engineer to join our Module Quality Assurance team. Reporting to the Quality Assurance Supervisor, you will serve as the technical owner of in-process quality across our advanced automated manufacturing lines. You will develop and maintain control plans, lead process audits, drive root cause investigations, and implement data-driven controls to ensure every module meets the highest quality standards. The ideal candidate has strong analytical skills, hands-on experience with precision measurement tools, and thrives in a high-volume advanced manufacturing environment. What You’ll Do In-Process Inspection & Audits - Conduct detailed quality inspections and process audits throughout the production line to assess product and process adherence to quality systems and technical documentation. - Identify quality abnormalities, process deviations, and recurring defects impacting product quality or production output. - Isolate, label, and classify non-conforming or defective materials from the production line. Troubleshooting & CAPA - Lead troubleshooting of in-process quality issues using structured root cause analysis tools such as 8D, 5-Why, and Fishbone. - Drive CAPA development, implementation, and effectiveness verification for quality escapes and recurring issues. - Partner with process and manufacturing engineers on corrective actions during NPI and process changes. Process Control & Documentation - Implement and maintain SPC methods and control charts to proactively detect process drift. - Develop and maintain SOPs, work instructions, and control plans to ensure process consistency and repeatability. - Contribute to FMEA development during NPI and process change activities. Laboratory & Calibration - Oversee daily laboratory sampling and testing activities (tensile strength, material verification, chemical testing) per the plant sampling plan. - Monitor, test, and maintain lab equipment and inspection gauges; ensure all tools are calibrated according to compliance requirements. Data Analysis & Reporting - Record inspection and laboratory results; analyze data to identify and surface quality trends to the Quality Assurance Supervisor and engineering leadership. - Own key quality metrics and develop reports to communicate findings and drive accountability. Cross-Functional Collaboration - Partner with Process, Engineering, and Production teams to support production targets and drive quality improvements. - Train and provide technical guidance to IPQA technicians to ensure inspection consistency across all shifts. - Support audits, trials, and improvement initiatives as required. Who You Are - Solid understanding of in-process quality control and inspection methodologies in a manufacturing environment. - Familiarity with SPC, data analysis, and basic process control concepts. - Working knowledge of root cause analysis tools (8D, 5-Why, Fishbone) and CAPA processes. - Hands-on knowledge of precision measurement tools and ability to read technical blueprints. - Familiarity with ISO 9001 and standard quality auditing practices. - Proficiency in Microsoft Office; ERP/MES experience a plus. - Strong attention to detail and accurate documentation habits. - Effective communicator across shifts, departments, and leadership levels. - Hands-on mindset with the ability to work directly on the manufacturing floor. - Ability to manage multiple priorities in a fast-paced manufacturing environment. Qualifications - Bachelor’s degree in Engineering or a related technical field required. - 3–5 years of quality engineering experience in a manufacturing environment; solar, semiconductor, electronics, or advanced manufacturing experience preferred. - Familiarity with SPC, FMEA, control plans, precision measurement tools, and technical drawings. - Basic understanding of ISO 9001, SOPs, and quality auditing practices. - Proficient in Microsoft Office; ERP/MES or quality database experience is a plus. - Strong analytical, communication, and documentation skills. - Bilingual in Spanish is a plus. The T1 Way We move fast, expect accountability, and treat people with respect. We also have a no-jerks policy: we don't tolerate big egos, bad behavior or \"that's not my job attitude\". Be sharp, be honest, be human. If you can hold the line and have a sense of humor, you'll fit right in. T1 Energy is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants and do not discriminate on the basis of any legally protected characteristics.", "summaryDescription" : "In-Process Quality Assurance Engineer at T1 Energy. Skills: In-process quality, Root cause analysis, CAPA, SPC. Conduct quality inspections. Conduct process audits", "createdAt" : "2026-06-14T06:34:29.731", "lastUpdated" : "2026-06-15T09:28:18.305", "ingestTimestamp" : "2026-06-14T06:34:29.731", "mongoId" : "6a2c691174d8ee00a0905de9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Precision measurement", "Tensile strength testing", "Material verification", "Chemical testing", "In-process quality", "Root cause analysis", "CAPA", "SPC", "Process development", "CAPA development", "Process audits", "Quality control", "Quality systems", "Technical documentation", "Data reporting", "Technical guidance", "Solar manufacturing", "Advanced manufacturing", "ISO 9001", "FMEA", "Microsoft ERP/MES" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "manufacturing process quality data system analysis and report jobs", "metadata" : { "title" : "manufacturing process quality data system analysis and report" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 59308, "totalPages" : 1187, "hasNext" : true, "hasPrevious" : false } }

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