Silicon Engineer (AI)

Location: San Francisco, CA; hybrid policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.

Annual salary: $320,000–$485,000 USD.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Participate in end-to-end silicon program activities, including strategy, specification, execution, and setting the technical bar.
• Write specifications and interface definitions, and keep them coherent as the architecture converges.
• Make and own decisions about technology and IP selection, build-versus-buy-versus-license strategy, and design authority.
• Contribute domain expertise to architecture and micro-architecture discussions, including chip-level tradeoffs.
• Partner with inference, performance, kernels, infrastructure, and hardware systems teams on hardware-software co-design, bring-up, and integration.
• Build AI-assisted approaches for code-like domain work and support first-silicon bring-up and debugging.

Requirements

• Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity.
• Direct personal contribution to silicon that taped out and shipped, with detailed ownership.
• Working fluency in adjacent silicon domains sufficient to reason about chip-level tradeoffs outside the primary specialty.
• Experience working with external ASIC houses, IP vendors, foundries, or test partners, including reviewing their work and maintaining a technical bar.
• Track record of owning directional technical decisions and their consequences, rather than only making recommendations.
• Practical experience using AI coding tools and clear understanding of where they help and do not help.
• Clear written and verbal communication, with experience driving alignment across teams and organizations.
• Comfort operating with high autonomy and little scaffolding on a highly dynamic program.
• Bachelor’s degree or an equivalent combination of education, training, and experience in a field relevant to the role through coursework, training, or professional experience.
• Years of experience will correlate with the internal job level requirements.

Nice to have

• Experience with machine learning accelerators, high-performance computing, or other large, high-bandwidth designs.
• Experience on a founding or early-stage silicon team, including establishing flows, methodology, or tooling from nothing.
• Experience with both partner-executed and fully in-house programs, including understanding their tradeoffs.
• Familiarity with chip-package-system interfaces and cross-layer tradeoffs.
• Experience with hardware-software co-design and direct collaboration with compiler, kernel, or runtime teams.
• Experience building or extending AI-assisted design, verification, or physical design flows.
• Depth in memory subsystems, on-die interconnect, numerics, or low-power design.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business teams.
• Flexible working hours and an office designed for collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship may be available; Anthropic makes reasonable efforts to support visa applications and works with an immigration lawyer.
• Anthropic is a public benefit corporation headquartered in San Francisco.