Anthropic · Foundation models

Research Engineer, Chip Design RL

  • San Francisco (On‑site)
  • $500,000 - $850,000 / year

AI roleMachine LearningTrains models

Still open on Anthropic's site · checked just now

Posted
Visa & relocation
  • Anthropic offers visa sponsorship for this job

In the job ad:

“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.”
See all jobs with visa or relocation support

Research Engineer, Chip Design RL

Anthropic

Apply directly

What you'll do

As written by Anthropic · Read the original

About the role

We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at.

You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will:

  • Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization.
  • Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards.
  • Conduct experiments and shape our roadmap.
  • Deliver your work into research and production training runs.
  • Collaborate with other researchers and engineers across and outside Anthropic.

Requirements

You may be a good fit if you

  • Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs.
  • Are fluent with industry EDA tools and processes.
  • Have taped out chips and have experience going from spec to silicon.
  • Know how to balance research exploration with engineering implementation.
  • Are passionate about AI's potential and committed to developing safe and beneficial systems.

Strong candidates may also have

  • Experience with reinforcement learning, evaluations or environments.
  • Built tooling or automation around chip design flows.
  • Worked on ML accelerators or high-performance compute hardware.
  • Familiarity with high-level synthesis or architecture simulators.

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:
$500,000—$850,000 USD

Skills

Working languages

English

Company

Last checked . The details above were extracted automatically; the employer's original posting is the authority.

Correct or remove this listing

Similar jobs