At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- San Francisco
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
- 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.
- To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
- We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
About the role
- The Product Reliability Engineer will own reliability engineering for advanced IT hardware, ranging from PCBAs to fully integrated racks.
- This role involves translating operating conditions into reliability requirements, executing qualification tests, and driving failure analysis from development through production.
- The engineer will collaborate with cross-functional teams, suppliers, and manufacturing partners to improve hardware durability, serviceability, and availability.
Responsibilities
- Define reliability requirements and targets for PCBAs, trays, systems, and racks based on mission profiles and service life goals.
- Drive design-for-reliability reviews using DFMEA/FMEA and physics-of-failure methods.
- Own reliability qualification plans from new product introduction through production.
- Develop and execute accelerated life and environmental tests, including temperature cycling, humidity, shock, and vibration.
- Analyze life-test and field data using Weibull and other reliability models.
- Lead failure investigations from symptom reproduction through physical root cause.
- Review supplier reliability plans and evidence for components, cables, and cooling systems.
- Work hands-on with internal and partner labs to develop fixtures, instrumentation, and test methods.
- Partner with manufacturing and quality teams to establish reliability screens and burn-in processes.
- Present qualification results, residual risk, and readiness recommendations at design and release reviews.
Requirements
- Hands-on reliability engineering experience with advanced IT hardware such as AI/HPC servers, networking equipment, or storage systems.
- Experience designing, instrumenting, and executing hardware reliability tests and debugging failures in the lab.
- Understanding of failure mechanisms in electronic assemblies including solder fatigue, connector wear, and thermal/mechanical degradation.
- Ability to turn mission profiles into qualification plans with defensible sample sizes and stress levels.
- Experience leading reliability qualification through development and production milestones.
- Experience working directly with component suppliers, joint design manufacturers, and contract manufacturers.
- Ability to analyze reliability and life-test data using statistical software.
- Experience with high-power electronics, dense interconnects, or liquid-cooled hardware.
Workplace
- Hybrid work model: 3 days in the office per week.
Skills
- Python
- R
- JMP
- DFMEA
- FMEA
- Physics Of Failure
- Failure Analysis
