Agentic AI Research Engineer for EDA & Codegen

Normal Computing Corporation; København; On-site; DKK 750,000 - 1,050,000; Full time

Job summary

Normal Computing in Copenhagen is hiring a Research Engineer to push the frontier of agentic LLMs and reinforcement learning for Normal EDA, our agentic AI platform for semiconductor design automation.

You'll design and run experiments, build agents, curate datasets from silicon collateral, and create rigorous evaluations. You'll write production-quality research code and work closely with engineering to ship improvements to customers.

Qualifications

• PhD in CS/AI/ML required or equivalent research experience.
• Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus).
• Demonstrated ability to turn research into working systems.
• Experience designing evaluation environments and reward models for sequential/agentic tasks.
• Experience with EDA tools (formal, simulation, physical design).
• Comfortable with data acquisition/curation and licensing considerations.

Responsibilities

• Build multi-agent systems for code generation that interact with EDA tools and iterate through chip design flows.
• Build research prototypes and productionize wins with engineering.
• Create RL environments and evaluations for agents; explore proxy rewards and performance tradeoffs.
• Generate datasets from silicon collateral sources; maintain data cards and licensing.
• Analyze experiments with ablations; document results and drive progress with rigour.
• Stay current on LLM agents, RL, constrained decoding, and program synthesis.

Skills

PhD in CS/AI/ML

Python

ML frameworks

Research to prod

EDA tools

Clear communicator

Education

PhD in CS/AI/ML

Tools

PyTorch

JAX

Job description

Normal Computing in Copenhagen is hiring a Research Engineer to push the frontier of agentic LLMs and reinforcement learning for Normal EDA, our agentic AI platform for semiconductor design automation.

You'll design and run experiments, build agents, curate datasets from silicon collateral, and create rigorous evaluations. You'll write production-quality research code and work closely with engineering to ship improvements to customers.