Why This Job is Featured on The SaaS Jobs
This Product Quality Engineer role stands out in the SaaS ecosystem because it sits at the infrastructure layer that increasingly underpins modern subscription software, especially AI-enabled products. While many SaaS careers center on application features, this position connects product outcomes to the reliability of the compute systems that support production workloads, where quality decisions directly affect availability and customer trust.
For SaaS professionals, the career value is in learning how reliability is built end to end, from concept and validation through launch and sustained operation at scale. The work emphasizes measurable quality targets, data-driven monitoring, and structured root-cause methods, all of which translate well to SaaS environments where incident reduction, performance consistency, and operational readiness are core differentiators. Cross-functional coordination with engineering, program management, operations, and external partners also mirrors the stakeholder complexity seen in mature SaaS organizations.
This role is best suited to someone who prefers systems thinking and disciplined execution over feature iteration, and who is motivated by making platforms dependable rather than merely functional. It will fit professionals who enjoy ambiguity, can communicate clearly across functions, and want their SaaS-adjacent impact to be visible in uptime, defect rates, and long-term reliability metrics.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.
About the Role
We’re looking for a product quality engineer, who will be responsible for driving technical initiatives related to the quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
In this role, you’ll be responsible for defining product quality and reliability targets and driving initiatives to ensure product success from concept to launch.
Lead and develop the overall product quality and reliability strategy and process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards.
Lead the team to establish NPI product quality control process, define reliability qualification strategy, define clear milestones and deliverables, drive internal process improvements across multiple terms and functions.
Drive the design and execution of comprehensive quality and reliability assurance plans, testing protocols, and validation processes to ensure all hardware systems meet stringent performance, reliability and compliance standards.
Champion the use of advanced data analytics and statistical methods for analysis and monitoring of key quality metrics (e.g., yield, defect rates, MTBF) to monitor performance, predict potential failures, and guide product improvements.
Lead failure analysis, root cause identification, and corrective actions for system failures in both development and operational environments.
Collaborate with suppliers to ensure that all sub-components meet quality standards and performance specifications.
Visit vendors' facilities and review their manufacturing environment to assess and improve their procedures.
Lead component supplier and JDM/CM quality control audits and performance reviews to ensure component and system reliability.
Own overall product quality process development of the hardware product. This includes the PCB, PCBA, cabling and connector, chassis, rack, power, and cooling components, subsystems spanning internal and external development work through successful deployment into the infrastructure and support of production workloads at scale.
Develop and manage overall product quality requirements, scope, schedules, and deliverables with engineering teams, TPMs, partners and key stakeholders.
Communicate effectively with cross-functional teams to ensure successful execution of programs.
Utilize problem-solving skills to resolve issues and overcome obstacles, perform risk assessment, risk mitigation and change management on projects.
Manage multiple projects simultaneously.
Monitor project progress and ensure deadlines and standards are met.
You might thrive in this role if you:
Have an impressive track record of leading complex projects from concept to production launch and have the ability to work with cross-functional teams to ensure successful execution of programs.
Are a creative, detail-oriented, and self-motivated individual looking for an exciting opportunity in the tech industry, this could be the perfect role for you
Stay up to date on industry trends and product quality engineering of high-performance computing systems.
Like being a close partner with cross-functional teams to understand key design changes requiring validation to accurately integrate engineering validation needs into the overall system build.
Have experience driving development timelines for new platform introduction and managing internal review processes.
Have significant experience driving creativity, quality, reliability, and schedule at multinational JDM/CM vendors.
Are deeply familiar with mechanical and electrical Design For Quality (DFQ), Excellence (DFX), Manufacturability (DFM), Assembly (DFA), Test (DFT), and Design for Reliability (DFR), etc.
Have experience with 8D and various troubleshooting/root cause analysis methodology such as 5 Whys, Fishbones, etc..
Are excited by capturing, analyzing, and presenting key quality metrics data.
Are keen on root cause corrective actions.
Are comfortable with ambiguity and rapidly changing conditions.
To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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