Convert frontier physics problems into machine-verifiable tasks for AI exploration.
Design evaluation frameworks and verification harnesses across physics domains.
Integrate state-of-the-art physics simulations into AI environments.
Collaborate with AI researchers on agent architecture, training, and evaluation; ship production code.

🎯 Requirements

PhD in physics or closely related quantitative discipline with deep expertise.
Strong Python programming; hands-on physics simulations (CFD/MD/FEA/quantum).
Proven track record shipping results in fast-paced research environments.
Fluency at the physics-ML intersection; read ML papers and evaluate agents.

🎁 Benefits

Meaningful early-stage equity.
Hybrid work with location flexibility.
Equal opportunity employer; diverse perspectives welcome.

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