Silicon Engineer

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 485,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Nice office in San Francisco

Job summary

Anthropic in San Francisco seeks a senior hardware leader to help build a custom silicon team, spanning strategy, specification, and execution with clock-speed decisions and collaboration across inference, performance, kernels, and infrastructure groups.

The role requires shipping silicon and operating with high autonomy in a fast-moving program, with a realistic schedule and strong design authority to drive consequential outcomes.

Qualifications

• Deep hands-on expertise in at least one silicon domain from the list.
• Direct personal contribution to silicon that tape-out and shipped.
• Fluent understanding of adjacent domains to reason about chip tradeoffs.
• Experience with external partners and maintaining a technical bar.
• Track record of owning directional technical decisions.

Responsibilities

• Take part in end-to-end program activities: strategy, specification, execution, and technical bar.
• Write specifications and interface definitions for others to implement.
• Make directional calls on technology/IP selection and build-vs-license decisions.
• Develop AI-assisted approaches to code-like parts of your domain.
• Contribute to architecture discussions from your domain perspective.
• Collaborate with inference, performance, kernels, and infrastructure teams on co-design.
• Support first-silicon bring-up and debug across domains.

Skills

Front-end verification

Pre-silicon verification

Physical design

Design for test

Analog and mixed-signal

Technology and foundry

CAD and design infrastructure

Packaging, signal integrity

Education

Bachelor's degree

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

Anthropic runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team.

You Will Be One Of a Small Number Of People Covering a Large Surface. We Are Opening Searches Across The Key Domains Below, And We Are Interested In Candidates Whose Center Of Gravity Sits In Any Of Them.

• Front-end design
• Pre-silicon verification
• Physical design
• Design for test
• Analog and mixed-signal
• Technology and foundry
• CAD and design infrastructure
• Packaging, signal integrity, and power integrity

This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them.

Key responsibilities

• Take part in end to end activities for the program: strategy, specification, execution and the technical bar.
• Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges
• Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners
• Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate
• Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip
• Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration
• Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through

Minimum Qualifications

• 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 ownership you can speak to in detail
• Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty
• Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar
• Track record of owning directional technical decisions and their consequences, not only making recommendations
• Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not
• Clear written and verbal communication, and experience driving alignment across teams and organizations
• Comfort operating with high autonomy and little scaffolding on a highly dynamic program

Preferred Qualifications

• Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs
• Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing
• Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them
• Familiarity with the chip-package-system interface and the tradeoffs that cross it
• Experience with hardware-software co-design and working directly 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

Representative projects

• Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives
• Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence
• Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture
• Selecting and qualifying PHY IP, then validating it on first silicon
• Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation
• Defining test strategy and the automated-test-equipment handoff interface with our partner
• Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do
• Debugging a first-silicon failure that crosses your domain and someone else's

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary

$320,000—$485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.