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Описание вакансии
Текст:
TL;DR
Research Engineer (Chip Design RL): Developing and implementing reinforcement learning environments for agentic RTL generation and physical design optimization with an accent on bridging chip design expertise with AI model training. Focus on designing evaluations for formal verification, optimizing EDA-tool latency, and delivering research innovations into production training runs.
Location: Must be based in or able to work from San Francisco, CA or New York City, NY (Hybrid: at least 25% in-office)
Salary: $500,000 - $850,000 USD
Company
Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems.
What you will do
- Invent and implement RL environments for agentic RTL generation and design verification.
- Optimize EDA-tool latency and develop proxy rewards for hardware design tasks.
- Conduct experiments to shape the roadmap for chip design RL.
- Collaborate with researchers and engineers to integrate research into production training.
- Apply chip design expertise to create effective learning signals for AI models.
Requirements
- Expertise in ASIC or FPGA design (RTL, verification, physical design, PPA optimization).
- Fluency with industry EDA tools and design processes.
- Experience with chip tape-outs and the full lifecycle from spec to silicon.
- Ability to balance research exploration with engineering implementation.
- Must be able to work from San Francisco or New York City offices (Hybrid policy).
Nice to have
- Experience with reinforcement learning, evaluations, or environments.
- Background in building automation for chip design flows.
- Experience with ML accelerators or high-performance compute hardware.
- Familiarity with high-level synthesis or architecture simulators.
Culture & Benefits
- Competitive compensation and benefits package.
- Generous vacation and parental leave policies.
- Flexible working hours.
- Collaborative research environment with frequent discussions.
- Visa sponsorship available for qualified candidates.
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