Software Engineer - Privacy & Compliance
OpenAI · San Francisco · Seattle
CHECKED 36M AGO
Frontier labonsitesenior$230k–$385k
At a glance
Highlights
- Architect backend systems that enforce data privacy at scale.
- Embed privacy-by-design into data and access layers.
- Make compliance continuously verifiable via auditability.
What they offer
- equity
Ideal candidate
Experienced backend engineer passionate about protecting user data while enabling innovation. Thrives collaborating across product, security and legal to deliver practical, impactful privacy solutions.
Requirements
- 5+ years building and operating backend or infrastructure systems in production
- Strong software engineering fundamentals with fluency in Python, Go, Rust, C++, Java or similar
- Experience with distributed authorization, RBAC/ACL, encryption-based access, or policy engines
- Familiarity with global privacy regulations and their architectural implications
- Ability to collaborate and influence across legal, compliance, product, and engineering
- Bias toward practical solutions balancing privacy protections with product needs
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets