Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $230K – $385K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.
Benefits include:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the Team
The Private Computing team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like confidential computing, trusted execution environments, and end-to-end encryption to ship product features across ChatGPT, the API, and our future consumer devices.
About the Role
We're looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT, API, and future consumer devices.
Responsibilities
In this role, you will:
- Ship fast while balancing difficult trade-offs in complex domains
- Build core abstractions for trusted execution environments and end-to-end-encryption
- Build product features for private inference and storage across ChatGPT, API, and future consumer devices
- Update build systems to increase trust and verifiability
- Integrate with safety and integrity infrastructure
- Operate systems at scale with high reliability, including an on-call rotation
- Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal
Requirements
You might thrive in this role if you:
- Care deeply about user privacy and security
- Have 5+ years of experience in professional software engineering
- Have experience building and scaling confidential computing or encryption technologies in production environments
- Have experience with Kubernetes and cloud orchestration systems
- Take pride in building and operating scalable, reliable, secure systems
- Can collaborate well and drive alignment in the face of difficult trade-offs
- Are comfortable with ambiguity and rapid change
Workplace & Location
This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.