Multiphysics Simulation Scientist

Join Periodic Labs, an AI + physical sciences lab, as a Multiphysics Simulation Scientist. You will develop, execute, and integrate high-fidelity physical simulations of experimental systems, linking materials processes, thermal, mechanical, electrical/magnetic behavior to AI-driven R&D pipelines. Responsibilities include building and applying multiphysics models, interfacing simulations with orchestration systems, producing datasets for ML training, and collaborating with various R&D teams.

Must Have

• Build and apply multiphysics models for a wide range of processes including thermal, mechanical, electromagnetic, plasma, fluid flow and/or chemical reaction phenomena.
• Interface simulations with orchestration systems and data infrastructure enabling real-time digital twins and AI feedback loops.
• Produce diverse simulated datasets for ML training and reinforcement learning environments.
• Collaborate with computational, AI, automation, process, and facilities teams to optimize R&D processes.
• PhD or MS in Mechanical, Chemical, Materials, or Aerospace Engineering, or a related discipline.
• 5+ years of hands-on experience with multiphysics modeling tools (e.g., COMSOL, ANSYS, or other finite-element / finite-volume solvers).

About Periodic Labs

We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.

About the Role

Join a world-class team of scientists and engineers pushing the boundaries of physical r&d in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale.

Periodic Labs is seeking an experienced, hands-on Multiphysics Simulation Scientist / Engineer to develop, execute, and integrate high-fidelity physical simulations of our experimental systems, linking materials processes, thermal and mechanical environments, and electrical/magnetic behavior to our AI-driven R&D pipelines.

Responsibilities

• Build and apply multiphysics models for a wide range of processes including but not limited to thermal, mechanical, electromagnetic, plasma, fluid flow and/or chemical reaction phenomena.
• Interface simulations with orchestration systems and data infrastructure enabling real-time digital twins and AI feedback loops.
• Produce diverse simulated datasets for ML training and reinforcement learning environments.
• Collaborate with computational, AI, automation, process, and facilities teams to optimize R&D processes.

Qualifications

• PhD or MS in Mechanical, Chemical, Materials, or Aerospace Engineering, or a related discipline.
• 5+ years of hands-on experience with multiphysics modeling tools (e.g., COMSOL, ANSYS, or other finite-element / finite-volume solvers) to solve a wide range of