Research Engineer, Chip Design RL (Reinforcement Learning)
Anthropic · San Francisco, CA | New York City, NY · San Francisco, CA
CHECKED 4H AGO
Frontier labonsite$500k–$850k
At a glance
Highlights
- Advance Claude's ability to design silicon in unforgiving hardware domains.
- Invent RL environments for agentic RTL generation and verification.
- Optimize physical design flows and deliver research to production training.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
A hands-on chip designer who has taken silicon from spec to tapeout and loves turning hardware expertise into AI training signals. You balance research curiosity with engineering pragmatism and care deeply about safe, beneficial AI.
Requirements
- Expertise in ASIC or FPGA design including RTL, verification, physical design and PPA optimization
- Fluent with industry EDA tools and processes
- Experience taping out chips from spec to silicon
- Ability to balance research exploration with engineering implementation
- Bachelor's degree or equivalent combination of education and experience
- remote policy
- In office at least 25% of the time; some roles may require more
- visa sponsorship
- Visa sponsorship available, but not guaranteed for every role and candidate
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google