Autonomous AI Design Scientist for Chip Design & EDA

Cerebro; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Cerebro in San Francisco is seeking a PhD or MS-level researcher/engineer to advance agentic AI for advanced semiconductor design. You will work across research and engineering to develop AI and agentic methods, build prototypes and deploy techniques into production environments.

Join a deeply technical team applying LLMs, reinforcement learning, and GPU-accelerated computing to design automation in EDA. Strong implementation skills and publishing or production experience are valued.

Qualifications

• PhD or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering or related field, or equivalent practical experience.
• Strong Python skills and proficiency in C++ or Rust.
• Experience with PyTorch, JAX or comparable ML framework.

Responsibilities

• Develop AI and agentic methods for semiconductor design and verification.
• Build agents capable of understanding engineering objectives, using EDA tools, executing multi-step workflows and recovering from failures.
• Create tools and representations that allow autonomous systems to reason over design states, constraints, actions and optimization objectives.
• Research and implement methods involving LLMs, reinforcement learning, program synthesis, search and combinatorial optimization.
• Develop GPU-accelerated algorithms for computationally intensive design, simulation and analysis problems.
• Design rigorous evaluations for engineering agents operating with private, sparse or customer-specific data.
• Integrate AI systems with simulators, formal tools, design databases, commercial EDA software and customer infrastructure.
• Work directly with semiconductor engineers to identify high-value automation opportunities.
• Translate promising research into reliable and scalable product capabilities.

Skills

Python

C++

Rust

PyTorch/JAX

Agentic AI

LLMs

Research

Education

Master's or PhD in CS/EE/related field

Tools

CUDA

Triton

Verilog/SystemVerilog

GPU programming

Job description

Cerebro in San Francisco is seeking a PhD or MS-level researcher/engineer to advance agentic AI for advanced semiconductor design. You will work across research and engineering to develop AI and agentic methods, build prototypes and deploy techniques into production environments.

Join a deeply technical team applying LLMs, reinforcement learning, and GPU-accelerated computing to design automation in EDA. Strong implementation skills and publishing or production experience are valued.