Technical Program Manager, Silicon

Anthropics 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.

Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability cost and reliability and weve decided to take design authority over it ourselves.

Were looking for a Technical Program Manager to own end-to-end execution of our silicon from architecture definition through tapeout first-silicon bring-up and production ramp. Youll be working alongside a small group of domain experts across front-end design verification physical design DFT analog/mixed-signal foundry and packaging. There is no process to inherit youll build the execution machinery this program runs on.

This is a partner-heavy program by design. Youll drive a portfolio of external engagements ASIC design services IP vendors foundry and OSAT. You should have shipped chips before know what a realistic silicon schedule looks like and its failure modes and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic youll have Claude as a collaborator we expect the TPMs on this team to push hard on what AI-assisted program management can look like.

• Own the integrated silicon program plan architecture closure RTL freeze DV milestones IP delivery PD closure DFT tapeout and post-silicon bring-up.
• Drive external partner execution across ASIC design partners IP vendors foundry and packaging/test.
• Run technology and IP selection as a program: track candidate vendors and options drive evaluations to a decision and land the build / buy / license calls with engineering leadership.
• Build the execution mechanisms a silicon team needs milestone definitions risk and dependency tracking design reviews release management exec reporting and keep them lightweight enough that engineers actually use them.
• Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up and inference/kernels/compiler teams for hardware-software co-design so trade-offs land as coordinated decisions rather than late surprises.
• Own the post-silicon program bring-up planning ATE/test handoff sample distribution validation and the path to production readiness.
• Develop and share AI-assisted approaches to program management schedule and dependency modeling spec and milestone consistency checking partner-deliverable tracking status synthesis.

• 8 years in silicon/SoC program management chip lead or an equivalent role that owned a chip schedule end to end.
• Direct ownership of at least one program that taped out and reached production with milestones you can speak to in detail including where it slipped and what you did about it.
• Working technical fluency across the silicon lifecycle front-end DV PD DFT foundry packaging.
• Experience running external silicon partners ASIC houses IP vendors foundry or OSAT including SOW scoping delivery tracking and escalation.
• Track record of building program mechanisms from scratch on an ambiguous fast-moving effort.
• Strong written communication plans reviews and exec updates that many teams depend on.
• Comfort operating with high autonomy and limited process on a highly dynamic program.

• Experience on ML accelerators high-performance compute networking or other large high-bandwidth SoCs at advanced process nodes.
• Experience on a first-generation or early silicon program including standing up flows methodology or vendor relationships from nothing.
• Experience with both partner-executed and fully in-house programs and a view on the trade-offs between them.
• Prior hands-on engineering background in one or more silicon domains (design DV PD DFT or SI/PI).
• Familiarity with the chip-package-system interface and co-design with a hardware systems team.
• Experience with hardware-software co-design programs working directly with compiler kernel or runtime teams.
• Practical experience using AI tools in your own workflow and clear ideas about where they help and where they dont.
• BS/MS in EE CE CS or a related field or equivalent experience.

Minimum education: Bachelors 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 arent 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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 aboutour policy for using AI in our application process.