Research Engineer Chip Design Reinforcement Learning
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Maintainer signals as of 9/24/2026
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement reinforcement-learning environments and evaluations for RTL generation, verification, and physical-design optimization. You will improve EDA-tool latency and reward signals, conduct experiments, deliver work into training runs, and collaborate on research and engineering work.
Requirements
- ASIC or FPGA design expertise
- RTL design
- Design verification
- Physical design
- EDA tool proficiency
- Experience taking chips from specification to silicon
- Software engineering and research implementation skills
Responsibilities
- Design and implement reinforcement-learning environments and evaluations for RTL generation, verification, and physical-design optimization
- Optimize EDA-tool latency and proxy rewards
- Conduct experiments and shape the roadmap
- Deliver work into research and production training runs
- Collaborate with researchers and engineers
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours