Silicon Engineer
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Hardware · listed August 5, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$320,000 – $485,000 USD
Requirements listed
8
Length
1,291 words
In the posting’s own words
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:
What it asks for · 8
- 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
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Models & research
- Inference2×
- Machine learning
Frameworks
- REST
Product & design
- Prototyping
Words the posting leans on
- design14×
- experience8×
- domain7×
- partners7×
- silicon7×
- specification4×
- test4×
- tradeoffs4×
- versus4×
- architecture3×
- building3×
- flows3×
- integrity3×
- interface3×
- large3×
- physical design3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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