AI Scientist - Agentic Engineering

Highlights

• Build training data that teaches frontier LLMs to execute real engineering tasks.
• Shape agent harnesses for long-horizon CAE and EDA engineering workflows.
• Define what good looks like for AI in engineering from the foundation up.

What they offer

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal and transportation allowances

Ideal candidate

Self-directed, low-ego ML scientist who loves operating at the intersection of AI and real-world engineering. You enjoy defining ambiguous problems from scratch and collaborating with domain experts to make agents reliably useful.

Requirements

• Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences
• Deep, hands-on machine learning expertise, particularly LLM development
• Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA
• Write clean, readable Python code and comfortable in Linux/HPC environments
• Self-directed and able to make progress without detailed roadmaps
• Low-ego, collaborative, and eager to learn at the intersection of engineering and ML