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OpenAI

Software Engineer, Private Computing

San Francisco (Remote)$230k–$385kfulltimemidAdded 1 month ago

About this role

OpenAI seeks a Software Engineer to design and implement privacy-focused infrastructure using confidential computing and end-to-end encryption across ChatGPT, API, and consumer devices. You'll balance complex technical trade-offs while shipping fast and collaborating across product, security, and safety teams.

What you'll do

  • Design and build core abstractions for trusted execution environments and encryption systems
  • Develop private inference and storage features for ChatGPT, API, and future consumer devices
  • Enhance build systems to improve trust and verifiability
  • Integrate privacy infrastructure with safety and integrity systems
  • Operate systems at scale with high reliability, including on-call support
  • Collaborate with cross-functional teams across product, engineering, security, and policy

What they're looking for

  • 5+ years professional software engineering experience
  • Confidential computing and encryption technologies in production
  • Kubernetes and cloud orchestration
  • System design for scalability and reliability
  • Strong privacy and security mindset
  • Cross-functional collaboration and alignment
  • Comfort with ambiguity and rapid change

Benefits

  • Hybrid work model (4 days/week in office)
  • Based in San Francisco, CA
  • Relocation assistance available
  • Work on cutting-edge privacy and security technology
  • Collaborative environment across diverse teams
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Can you describe your experience building or operating confidential computing or trusted execution environment (TEE) systems in production? What challenges did you face?
  • Walk us through a time you had to balance security, performance, and user experience trade-offs. How did you approach the decision?
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