Anthropic
Silicon Engineer
$320K–$485K
San Francisco, CA +1 · Full-time · Posted Aug 4, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Years of experience required will correlate with the internal job level requirements for the position.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is offered, but not available for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides immigration-lawyer support.
About the job
Build Anthropic’s custom silicon program, owning technical decisions and execution in a silicon domain while partnering across hardware and software teams.
What you'll do
- Drive silicon program strategy, specifications, execution, and technical quality; make and own decisions on technology, IP, and build-versus-buy choices.
- Contribute domain expertise to chip architecture and hardware-software co-design; support integration, first-silicon bring-up, and debug.
- Develop and share AI-assisted approaches for code-like work in the domain, evaluating where Claude helps.
What they ask for
- Deep hands-on expertise in at least one listed silicon domain and personal contribution to silicon that taped out and shipped.
- Fluency in adjacent silicon domains and experience reviewing and holding a technical bar with external partners.
- Track record owning consequential technical decisions; practical use of AI coding tools and clear communication across teams.
- Comfort working autonomously on a dynamic program.
Nice to have
- Experience with machine-learning accelerators, high-performance compute, or other large, high-bandwidth designs.
- Experience on early-stage silicon teams, hardware-software co-design, or AI-assisted design flows.
Pay
$320,000 — $485,000 USD (base salary)
Tools
Claude, ASIC
AI focus
Use AI-assisted approaches for code-like silicon work and assess where Claude can accelerate workflows such as RTL review, coverage triage, and specification consistency checking.
Model-written summary · the original posting is authoritative