Anthropic
Staff+ Software Engineer, Privacy
$405K–$485K
Remote-Friendly (Travel-Required) +6 · Remote · Staff · Full-time · Posted Aug 7, 2026
- Location
- Remote-Friendly (Travel-Required)
San Francisco, CA
Seattle, WA
New York City, NY
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- 12+ years in a software engineering role, including large-scale infrastructure; 3+ years leading large, complex projects as a technical lead. The posting also says required years correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is offered, but not guaranteed for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Establish Anthropic’s privacy engineering function and design privacy-preserving infrastructure and practices for large-scale AI training and inference systems.
What you'll do
- Architect privacy-preserving systems and implement privacy-enhancing technologies across AI infrastructure.
- Build privacy infrastructure and governance controls, and translate regulatory requirements into technical implementations.
- Lead privacy reviews and threat modeling, and provide technical leadership across engineering, research, and product teams.
What they ask for
- Production experience applying privacy engineering principles, including privacy by design, data minimization, and purpose limitation.
- Proficiency in Python, Go, or similar languages, and experience building and operating production systems at scale.
- Experience designing privacy infrastructure for large-user-base systems, plus data governance or lifecycle management systems.
- Experience with distributed systems and cloud infrastructure at scale; privacy regulations; and privacy reviews, threat modeling, or risk assessments.
Nice to have
- Hands-on experience with privacy-enhancing technologies or privacy infrastructure for machine learning or AI systems.
- Experience establishing a privacy engineering practice, leading complex projects, or contributing to open-source privacy tooling, research, or standards.
Pay
$405,000 — $485,000 USD annual salary (base salary)
Tools
Python, Go, differential privacy, federated learning, secure multi-party computation, homomorphic encryption, secure enclaves
AI focus
Privacy-preserving AI training and inference, privacy-protective training methods, and privacy controls for AI systems.
Model-written summary · the original posting is authoritative