Product Quality Engineer Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Product Quality Engineer Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Product Quality Engineer at OpenAI - San Francisco, CA
Role Overview
Join OpenAI's cutting-edge Hardware organization as a Product Quality Engineer in San Francisco, California. We're at the forefront of developing silicon and system-level solutions tailored for advanced AI workloads. Our team builds next-generation AI-native silicon, co-designs hardware with software and research partners, and creates custom tools to accelerate innovation. This senior-level role is pivotal in ensuring the quality and reliability of our AI supercomputer hardware from concept to mass production.
As a Product Quality Engineer, you'll drive technical initiatives across the entire product lifecycle, collaborating with design engineers, operations teams, TPMs, and external vendors. Based in San Francisco with a hybrid model (3 days in-office), this position offers relocation assistance and the chance to shape the future of AI infrastructure. If you have expertise in reliability engineering, failure analysis, and supplier quality management for complex hardware like PCBs, PCBA, chassis, and cooling systems, this is your opportunity to make a massive impact at OpenAI.
OpenAI is transforming the world with safe AGI, and our hardware team powers the supercomputing infrastructure behind it. Work on production-grade silicon that supports massive AI models, ensuring every component meets the highest standards for performance and reliability.
Key Responsibilities
- Define and drive product quality and reliability targets from concept through launch and mass production.
- Lead the development of comprehensive quality and reliability strategies for next-gen AI hardware systems.
- Establish NPI processes, reliability qualification strategies, milestones, and deliverables.
- Drive process improvements across design, operations, TPMs, and external partners.
- Design and execute quality assurance plans, testing protocols, and validation for hardware systems.
- Use advanced data analytics to monitor metrics like yield, defect rates, and MTBF; predict failures and guide improvements.
- Conduct failure analysis, root cause identification, and corrective actions in development and operations.
- Collaborate with suppliers to enforce quality standards for sub-components.
- Perform on-site vendor visits to audit manufacturing environments and procedures.
- Lead supplier and JDM/CM quality audits and performance reviews.
- Own quality processes for PCB, PCBA, cabling, connectors, chassis, racks, power, and cooling.
- Manage quality requirements, schedules, and deliverables with cross-functional stakeholders.
- Utilize problem-solving skills for risk mitigation and issue resolution.
- Communicate effectively to ensure program execution success.
These responsibilities position you at the heart of OpenAI's hardware innovation, directly impacting the scalability and reliability of AI supercomputers.
Qualifications
To excel as a Product Quality Engineer at OpenAI, you need:
- Bachelor's in Electrical/Mechanical Engineering or related; advanced degrees preferred.
- 8+ years in quality/reliability engineering for high-tech hardware.
- Proven NPI leadership for complex systems (PCB, power, cooling).
- Expertise in statistical analysis, data analytics, and quality metrics.
- Strong failure analysis and root cause skills.
- Supplier management and audit experience.
- AI hardware or semiconductor background a plus.
- Travel willingness (10-20%).
Senior-level candidates with a passion for AI will thrive here.
Salary & Benefits
Salary Range: $180,000 - $260,000 USD yearly (base), plus equity and bonuses based on experience.
- Comprehensive health/dental/vision coverage.
- 401(k) with matching.
- Unlimited PTO.
- Hybrid SF work + relocation.
- 16 weeks parental leave.
- Fertility benefits.
- Mental health support.
- Professional development stipend.
- Catered meals, gym reimbursement.
Why Join OpenAI?
OpenAI is leading the AGI revolution. Our Hardware team builds infrastructure for the world's most powerful AI models. Enjoy unparalleled impact, top-tier compensation, and a collaborative culture in San Francisco's tech hub. Shape AI's future while enjoying hybrid flexibility and exceptional perks.
How to Apply
Submit your resume and a cover letter explaining your fit for Product Quality Engineer. Highlight hardware quality experience. OpenAI is an equal opportunity employer.
Locations
- San Francisco, California, United States
Salary
189,000 - 286,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Product Quality Engineeringintermediate
- Reliability Engineeringintermediate
- Failure Analysisintermediate
- Root Cause Analysisintermediate
- Statistical Process Controlintermediate
- Data Analyticsintermediate
- NPI (New Product Introduction)intermediate
- Supplier Quality Managementintermediate
- Quality Assurance Testingintermediate
- Hardware System Validationintermediate
- Yield Optimizationintermediate
- MTBF Analysisintermediate
- PCB/PCBA Quality Controlintermediate
- Vendor Auditsintermediate
- Risk Managementintermediate
- Cross-Functional Collaborationintermediate
- AI Hardware Developmentintermediate
- Manufacturing Process Improvementintermediate
Required Qualifications
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related field; Master's or PhD preferred (experience)
- 8+ years of experience in product quality engineering, reliability engineering, or hardware quality assurance in high-tech industries (experience)
- Proven track record leading NPI quality processes for complex hardware systems including PCBs, PCBA, chassis, power, and cooling (experience)
- Deep expertise in statistical methods, data analytics, and quality metrics (yield, defect rates, MTBF) (experience)
- Experience with failure analysis, root cause identification, and corrective action implementation (experience)
- Strong knowledge of supplier quality management, vendor audits, and JDM/CM partnerships (experience)
- Hands-on experience visiting vendor facilities and assessing manufacturing environments (experience)
- Familiarity with AI hardware, supercomputing infrastructure, or semiconductor manufacturing (experience)
- Excellent problem-solving skills with ability to resolve complex technical issues (experience)
- Demonstrated leadership in developing quality strategies and driving cross-functional teams (experience)
- Proficiency in quality tools like JMP, Minitab, or similar for statistical analysis (experience)
- Experience with ISO 9001, IATF 16949, or similar quality standards (experience)
- Ability to travel to vendor sites as needed (10-20%) (experience)
Responsibilities
- Define product quality and reliability targets to ensure success from concept to mass production
- Lead development of overall product quality and reliability strategy for next-gen AI hardware systems
- Establish NPI product quality control processes, reliability qualification strategies, and clear milestones
- Drive internal process improvements across design, operations, TPMs, and external partners
- Design and execute comprehensive quality assurance plans, testing protocols, and validation processes
- Champion advanced data analytics for monitoring key metrics like yield, defect rates, and MTBF
- Lead failure analysis, root cause identification, and corrective actions for system failures
- Collaborate with suppliers to ensure sub-components meet quality and performance specifications
- Conduct on-site visits to vendors' facilities to assess and improve manufacturing procedures
- Lead component supplier and JDM/CM quality control audits and performance reviews
- Own quality process development for PCB, PCBA, cabling, chassis, rack, power, and cooling components
- Develop and manage quality requirements, schedules, and deliverables with engineering teams and stakeholders
- Communicate effectively with cross-functional teams to execute programs successfully
- Perform risk assessments and mitigation strategies for hardware product development
Benefits
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance for employees and dependents
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO policy to promote work-life balance
- general: Hybrid work model: 3 days in-office per week in San Francisco
- general: Full relocation assistance for new employees moving to the Bay Area
- general: Generous parental leave (16 weeks fully paid for primary caregivers)
- general: Fertility assistance and family planning benefits
- general: Mental health support through on-site counseling and apps
- general: Professional development stipend for conferences, courses, and certifications
- general: Weekly catered lunches, snacks, and beverages in the office
- general: Gym membership reimbursement and wellness programs
- general: Commuter benefits and subsidized public transit passes
- general: Volunteer time off and charitable donation matching
Tags & Categories
Answer 10 quick questions to check your fit for Product Quality Engineer Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs
Product Quality Engineer Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Product Quality Engineer Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Product Quality Engineer at OpenAI - San Francisco, CA
Role Overview
Join OpenAI's cutting-edge Hardware organization as a Product Quality Engineer in San Francisco, California. We're at the forefront of developing silicon and system-level solutions tailored for advanced AI workloads. Our team builds next-generation AI-native silicon, co-designs hardware with software and research partners, and creates custom tools to accelerate innovation. This senior-level role is pivotal in ensuring the quality and reliability of our AI supercomputer hardware from concept to mass production.
As a Product Quality Engineer, you'll drive technical initiatives across the entire product lifecycle, collaborating with design engineers, operations teams, TPMs, and external vendors. Based in San Francisco with a hybrid model (3 days in-office), this position offers relocation assistance and the chance to shape the future of AI infrastructure. If you have expertise in reliability engineering, failure analysis, and supplier quality management for complex hardware like PCBs, PCBA, chassis, and cooling systems, this is your opportunity to make a massive impact at OpenAI.
OpenAI is transforming the world with safe AGI, and our hardware team powers the supercomputing infrastructure behind it. Work on production-grade silicon that supports massive AI models, ensuring every component meets the highest standards for performance and reliability.
Key Responsibilities
- Define and drive product quality and reliability targets from concept through launch and mass production.
- Lead the development of comprehensive quality and reliability strategies for next-gen AI hardware systems.
- Establish NPI processes, reliability qualification strategies, milestones, and deliverables.
- Drive process improvements across design, operations, TPMs, and external partners.
- Design and execute quality assurance plans, testing protocols, and validation for hardware systems.
- Use advanced data analytics to monitor metrics like yield, defect rates, and MTBF; predict failures and guide improvements.
- Conduct failure analysis, root cause identification, and corrective actions in development and operations.
- Collaborate with suppliers to enforce quality standards for sub-components.
- Perform on-site vendor visits to audit manufacturing environments and procedures.
- Lead supplier and JDM/CM quality audits and performance reviews.
- Own quality processes for PCB, PCBA, cabling, connectors, chassis, racks, power, and cooling.
- Manage quality requirements, schedules, and deliverables with cross-functional stakeholders.
- Utilize problem-solving skills for risk mitigation and issue resolution.
- Communicate effectively to ensure program execution success.
These responsibilities position you at the heart of OpenAI's hardware innovation, directly impacting the scalability and reliability of AI supercomputers.
Qualifications
To excel as a Product Quality Engineer at OpenAI, you need:
- Bachelor's in Electrical/Mechanical Engineering or related; advanced degrees preferred.
- 8+ years in quality/reliability engineering for high-tech hardware.
- Proven NPI leadership for complex systems (PCB, power, cooling).
- Expertise in statistical analysis, data analytics, and quality metrics.
- Strong failure analysis and root cause skills.
- Supplier management and audit experience.
- AI hardware or semiconductor background a plus.
- Travel willingness (10-20%).
Senior-level candidates with a passion for AI will thrive here.
Salary & Benefits
Salary Range: $180,000 - $260,000 USD yearly (base), plus equity and bonuses based on experience.
- Comprehensive health/dental/vision coverage.
- 401(k) with matching.
- Unlimited PTO.
- Hybrid SF work + relocation.
- 16 weeks parental leave.
- Fertility benefits.
- Mental health support.
- Professional development stipend.
- Catered meals, gym reimbursement.
Why Join OpenAI?
OpenAI is leading the AGI revolution. Our Hardware team builds infrastructure for the world's most powerful AI models. Enjoy unparalleled impact, top-tier compensation, and a collaborative culture in San Francisco's tech hub. Shape AI's future while enjoying hybrid flexibility and exceptional perks.
How to Apply
Submit your resume and a cover letter explaining your fit for Product Quality Engineer. Highlight hardware quality experience. OpenAI is an equal opportunity employer.
Locations
- San Francisco, California, United States
Salary
189,000 - 286,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Product Quality Engineeringintermediate
- Reliability Engineeringintermediate
- Failure Analysisintermediate
- Root Cause Analysisintermediate
- Statistical Process Controlintermediate
- Data Analyticsintermediate
- NPI (New Product Introduction)intermediate
- Supplier Quality Managementintermediate
- Quality Assurance Testingintermediate
- Hardware System Validationintermediate
- Yield Optimizationintermediate
- MTBF Analysisintermediate
- PCB/PCBA Quality Controlintermediate
- Vendor Auditsintermediate
- Risk Managementintermediate
- Cross-Functional Collaborationintermediate
- AI Hardware Developmentintermediate
- Manufacturing Process Improvementintermediate
Required Qualifications
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related field; Master's or PhD preferred (experience)
- 8+ years of experience in product quality engineering, reliability engineering, or hardware quality assurance in high-tech industries (experience)
- Proven track record leading NPI quality processes for complex hardware systems including PCBs, PCBA, chassis, power, and cooling (experience)
- Deep expertise in statistical methods, data analytics, and quality metrics (yield, defect rates, MTBF) (experience)
- Experience with failure analysis, root cause identification, and corrective action implementation (experience)
- Strong knowledge of supplier quality management, vendor audits, and JDM/CM partnerships (experience)
- Hands-on experience visiting vendor facilities and assessing manufacturing environments (experience)
- Familiarity with AI hardware, supercomputing infrastructure, or semiconductor manufacturing (experience)
- Excellent problem-solving skills with ability to resolve complex technical issues (experience)
- Demonstrated leadership in developing quality strategies and driving cross-functional teams (experience)
- Proficiency in quality tools like JMP, Minitab, or similar for statistical analysis (experience)
- Experience with ISO 9001, IATF 16949, or similar quality standards (experience)
- Ability to travel to vendor sites as needed (10-20%) (experience)
Responsibilities
- Define product quality and reliability targets to ensure success from concept to mass production
- Lead development of overall product quality and reliability strategy for next-gen AI hardware systems
- Establish NPI product quality control processes, reliability qualification strategies, and clear milestones
- Drive internal process improvements across design, operations, TPMs, and external partners
- Design and execute comprehensive quality assurance plans, testing protocols, and validation processes
- Champion advanced data analytics for monitoring key metrics like yield, defect rates, and MTBF
- Lead failure analysis, root cause identification, and corrective actions for system failures
- Collaborate with suppliers to ensure sub-components meet quality and performance specifications
- Conduct on-site visits to vendors' facilities to assess and improve manufacturing procedures
- Lead component supplier and JDM/CM quality control audits and performance reviews
- Own quality process development for PCB, PCBA, cabling, chassis, rack, power, and cooling components
- Develop and manage quality requirements, schedules, and deliverables with engineering teams and stakeholders
- Communicate effectively with cross-functional teams to execute programs successfully
- Perform risk assessments and mitigation strategies for hardware product development
Benefits
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance for employees and dependents
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO policy to promote work-life balance
- general: Hybrid work model: 3 days in-office per week in San Francisco
- general: Full relocation assistance for new employees moving to the Bay Area
- general: Generous parental leave (16 weeks fully paid for primary caregivers)
- general: Fertility assistance and family planning benefits
- general: Mental health support through on-site counseling and apps
- general: Professional development stipend for conferences, courses, and certifications
- general: Weekly catered lunches, snacks, and beverages in the office
- general: Gym membership reimbursement and wellness programs
- general: Commuter benefits and subsidized public transit passes
- general: Volunteer time off and charitable donation matching
Tags & Categories
Answer 10 quick questions to check your fit for Product Quality Engineer Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs