AI Scientist - Agentic Engineering

Highlights

• Build training data enabling LLMs to reason and execute real engineering tasks.
• Shape agent architectures for reliable multi-step engineering workflows.
• Define verifiers and benchmarks measuring genuine engineering task competence.

What they offer

• healthcare coverage
• parental leave
• retirement plans
• relocation support
• wellness programs
• meal and transportation allowances

Ideal candidate

Self-directed, low-ego collaborator with deep ML experience and hands-on engineering workflow background who thrives translating real-world practice into AI systems.

Requirements

• Fluent English with excellent communication skills
• 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