Member of Technical Staff, Applied AI

The role

This person will model real physical and engineering systems and validate them against solvers and measured data. They will use learned models and simulators together to search design spaces.

What you will do

• Model real physical and engineering systems and validate the models against solvers and measured data.
• Use learned models and simulators together to validate them against physics and measured data.
• Decide where solver fidelity is required and where a learned model is enough.
• Use models to search a design space.
• Go deep in one lane such as fluids and heat transfer, thermodynamics, electrical and power systems, electrochemistry, solid mechanics, or chemical and process engineering.
• Ship to customers to solve actual problems and leave behind reusable capabilities.

Required qualifications

• Three or more years building physics-based models of real engineering systems.
• Three or more years applying scientific machine learning to real physics or engineering problems.
• Depth in one of the following engineering domains: Fluid dynamics and heat transfer, Thermodynamics and energy conversion, Electrical and power systems, or Multiphysics coupled with digital twins/indu
• Must be authorized to work in the United States.
• May be required to be a U.S. person (U.S. citizen, national, lawful permanent resident, or individual granted refugee or asylum status) to comply with U.S. export control laws.

Nice to have

• A PhD, or an equivalent research record, in engineering, applied physics, computational science, or machine learning for science.
• A model you put into a system other people depend on.
• Training runs you designed and debugged yourself in PyTorch or JAX.
• Optimization over design spaces: mixed-integer, derivative-free, or Bayesian search.
• Peer-reviewed publications in computational physics, engineering, or ML for science.

Benefits

• Salary
• Benefits
• Meaningful early-stage equity

Before you apply

• Candidates must be authorized to work in the United States.
• PSI is not able to sponsor or take over sponsorship of employment visas for this role, now or in the future.
• PSI may require that the person in this role be a U.S. person to comply with U.S. export control laws.

About the company

Physical Superintelligence is a startup building AI systems to discover new physics at scale. Their mission is to discover and commercialize transformative physics breakthroughs with artificial superintelligence.