Research Engineer, AI for Chip Design
Core
Build RL environments and evaluations to help AI models solve chip-design problems like RTL generation, design verification, and physical design optimization.
Role type
Research Engineer (AI for Chip Design)
Builds
RL environments, evaluation systems, and tool-using agents for semiconductor engineering tasks
Domain
Semiconductor engineering + Applied Machine Learning
Deliverable
production ML models
Required skills
Reinforcement learning, experiment design, software engineering, debugging, hypothesis formulation, independent problem solving
Preferred skills
Tool-using agents, reward function design, automated evaluation systems, RTL/Verilog/SystemVerilog, EDA tools, formal verification, chip-design automation
Technologies
Reinforcement learning frameworks, experiment orchestration tools, distributed training systems
Responsibilities
Build RL environments and evaluations for chip-design tasks; Develop and test approaches for model tool use; Design experiments and establish baselines; Investigate failures in model behavior and infrastructure; Improve iteration speed via better tooling; Turn successful experiments into reusable research code and workflows
Seniority
Mid-Senior, hands-on IC
