Multiphysics Simulation Scientist

Periodic Labs • Menlo Park, CA

1d

About The Position

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.

Requirements

• 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 real-world problems in electronics, automotive, aerospace or chemical manufacturing industries.
• Deep understanding of coupled physical processes; such as heat transfer, stress, diffusion, plasma/fluid flow, electromagnetism etc.
• Strong coding skills in Python

Nice To Haves

• Experience modeling thin-film deposition related phenomena and chemical reactions.
• Familiarity with machine learning approaches relevant to multiphysics models
• Comfortable working across disciplines with engineers, scientists, and ML researchers
• Multiscale modeling

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree