PSI
Member of Technical Staff, Physics Research
Boston · Staff+
Sponsorship not specifiedDetected 165 days ago
PythonMachine LearningFEACFDCOMSOLResearch
About the role
- Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
- The last century's golden age of physics gave us transistors, lasers, and nuclear energy.
- We believe artificial superintelligence will unlock the next one.
Responsibilities
- Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale.
- Collaborate with AI researchers on agent architecture, training, and evaluation. Write production code that ships into discovery workflows running at scale.
- engineers work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage.
Requirements
- You have produced verifiable, published, or otherwise externally validated results.
- Strong programming skills in Python and hands-on experience running and extending physics simulations (CFD, molecular dynamics, FEA, quantum, or comparable), with comfort in high-performance computing environments.
- You can read and write production code, not just notebooks.
- A track record working on hard, unsolved problems in fast-paced research environments.
- Fluency at the physics-ML intersection: you do not need to be an ML expert, but you can read a modern ML paper, reason about what an agent is doing, and have an opinion on how to evaluate it.
Nice to have
- Hands-on experience with specific simulation platforms such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS, OpenFOAM, COMSOL, or comparable.
- Experience with differentiable physics, physics-informed neural networks, or ML-accelerated simulation.
- Prior work at a national lab, research institute, or applied research organization at the physics-ML intersection.
- This role is based in Boston.
- We evaluate on physics depth, intellectual breadth, and shipping velocity.
Skills
- Integrate state-of-the-art physics simulations into AI environments. Make computational physics legible to agents and useful to researchers.
Compensation
- Location and Compensation
Benefits
- We offer competitive compensation including salary, benefits, and meaningful early-stage equity.
Company info
- We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Equal opportunity
- We are an equal opportunity employer and value diverse perspectives in attacking hard problems in science.
This listing is sourced directly from PSI's careers page and normalized into a canonical job model.