Research Engineer, Chip Design RL

About this role

Build reinforcement-learning environments and evaluations that help AI models design silicon. The role combines chip-design expertise with RL research and engineering, from experiments through production training runs.

About the company

Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.

The team

Code RL team within the Reinforcement Learning organization

Stack

What you'll do

• Design and implement RL environments and evaluations for RTL generation, verification, and physical-design optimization
• Improve EDA-tool latency and develop proxy rewards
• Conduct experiments and help shape the research roadmap
• Deliver work into research and production training runs
• Collaborate with researchers and engineers across Anthropic

What we're looking for

• Expertise in ASIC or FPGA design, such as RTL, verification, physical design, PPA optimization, DFT, or ECOs
• Fluency with industry EDA tools and chip-design processes
• Experience taking chips from specification through tape-out
• Ability to balance research exploration with engineering implementation
• Interest in AI’s potential and commitment to developing safe, beneficial systems

Nice to have

• Experience with reinforcement learning, evaluations, or environments
• Experience building chip-design tooling or automation
• Experience with ML accelerators or high-performance computing hardware
• Familiarity with high-level synthesis or architecture simulators

Benefits

• Flexible working hours
• Vacation and parental leave
• Optional equity donation matching