Research Engineer, Chip Design RL (Reinforcement Learning)

The shape of it

In the posting’s own words

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.

What it asks for · 5

• 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.

Also a plus

• 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.

Tools and skills named

Words the posting leans on

• design10×
• optimization3×
• research3×
• chip design2×
• engineer2×
• evaluations2×
• experience2×
• expertise2×
• formal2×
• hardware2×
• models2×
• physical design2×
• rtl2×
• silicon2×
• synthesis2×
• verification2×

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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