Senior Software Engineer - Privacy & Trusted Execution

Triwill Group; San Francisco, Northern (CA, KY); Hybrid; USD 190,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Job summary

OpenAI is seeking software engineers in San Francisco to design, build, and scale privacy features and infrastructure across ChatGPT, API, and future devices. The role collaborates with product, security, safety, policy, and legal teams to deliver scalable, secure systems with strong privacy guarantees.

You will work on trusted execution environments, end-to-end encryption, and private inference/storage, while maintaining reliability and building trust through robust infrastructure and tooling.

Qualifications

• 5+ years of professional software engineering experience.
• Experience building and scaling confidential computing or encryption technologies in production.
• Experience with Kubernetes and cloud orchestration systems.
• Ability to design, build, and scale privacy features and infrastructure.

Responsibilities

• Ship fast while balancing difficult trade-offs in complex domains.
• Build abstractions for trusted execution environments and end-to-end encryption.
• Develop features for private inference and storage across products.
• Update build systems to increase trust and verifiability.
• Integrate with safety and integrity infrastructure.
• Operate systems at scale with on-call rotations.
• Collaborate with cross-functional teams across product, engineering, security, safety, policy, and legal.

Skills

Privacy engineering

Encryption tech

Kubernetes

Distributed systems

Secure infra

Job description

OpenAI is seeking software engineers in San Francisco to design, build, and scale privacy features and infrastructure across ChatGPT, API, and future devices. The role collaborates with product, security, safety, policy, and legal teams to deliver scalable, secure systems with strong privacy guarantees.

You will work on trusted execution environments, end-to-end encryption, and private inference/storage, while maintaining reliability and building trust through robust infrastructure and tooling.