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Research Engineer, Chip Design RL (Reinforcement Learning)

AnthropicSan Francisco, CA | New York City, NYAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
13 Jul 2026
Status
Open · checked 8d ago

About this role

Anthropic is currently seeking a Research Engineer, Chip Design RL to join their team in San Francisco, CA or New York City, NY. This position suits engineering professionals with a background in ASIC or FPGA design who want to apply reinforcement learning to silicon generation and hardware development.

Role Overview

As a Research Engineer within the Code RL team at Anthropic, the focus is on advancing models to design silicon. The work involves turning hardware design expertise into actionable tasks and signals for AI models to learn from. Team members invent, design, and implement reinforcement learning environments and evaluations for agentic RTL generation, physical design optimization, and verification.

Key Responsibilities

Create, design, and build reinforcement learning environments and evaluations for agentic RTL generation, formal and design verification, and physical design optimization.
Handle cross-cutting reinforcement learning considerations, including proxy rewards and electronic design automation tool latency optimization.
Conduct experiments, shape the organizational roadmap, and deliver completed work into research and production training runs.
Collaborate closely with other researchers and engineers both inside and outside of Anthropic.

Requirements

Background featuring expertise in ASIC or FPGA design, covering areas such as RTL, design verification, physical design, PPA optimization, DFT, and ECOs.
Fluency with industry electronic design automation tools and workflows.
Direct experience taking chips from specification to silicon through tape-outs.
Ability to balance research exploration with practical engineering implementation.
Minimum of a Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field of study.

Nice to Have

Practical background involving reinforcement learning, evaluations, or environments.
Experience building tooling or automation around chip design flows.
Previous work on machine learning accelerators or high-performance compute hardware.
Familiarity with architecture simulators or high-level synthesis.

Skills and Tools

ASIC and FPGA design
RTL and UVM verification
Physical design, synthesis, and place-and-route
Industry electronic design automation (EDA) tools
Reinforcement learning concepts and environments

Salary and Benefits

The annual base salary range for this position is $500,000 to $850,000 USD. Additional perks include optional equity donation matching, generous vacation time, parental leave, flexible working hours, office collaboration spaces, visa sponsorship support, and a location-based hybrid policy requiring staff in offices at least 25% of the time.

About the Company

Anthropic operates as a public benefit corporation dedicated to creating reliable, interpretable, and steerable artificial intelligence systems that remain safe and beneficial for society. The organization functions as a cohesive team tackling large-scale empirical science research inspired by physics and biology.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application and review open positions.

Questions candidates ask

What is the salary range for the Research Engineer role?

The annual base salary ranges from $500,000 to $850,000 USD.

Where is the position located?

The role is based in San Francisco, CA or New York City, NY, operating under a location-based hybrid policy requiring at least 25% time in an office.

Does Anthropic offer visa sponsorship for this job?

Yes, Anthropic sponsors visas for eligible candidates and retains an immigration lawyer to assist with the process.

What education is required to apply?

Candidates need a Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field of study.

How can I apply for this position?

Candidates can apply directly by visiting the official Anthropic careers page.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site