Forward Deployed Engineer, Physics & Simulation
Technologies
Python · NumPy · SciPy · OpenFOAM · ANSYS Fluent · Star-CCM+ · CFD · PDE solvers · mesh generation · Onnes
About Periodic Labs
AI scientists running autonomous robotic labs that synthesize and characterize materials, training models on real-world experimental feedback to accelerate discovery.
Seed · 50–100 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Production engineering · Evidence for this classification:
About Periodic Labs We’re an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what’s scientifically possible. About the Role We’re using AI-driven simulation to solve hard physical process optimization problems in advanced manufacturing. As a forward deployed engineer focused on physics and simulation, you will be the technical backbone of our most demanding customer engagements – spending significant time on-site, embedding directly with customer teams, and owning simulation workflows end-to-end. You’ll work with our modeling and ML teams to build and calibrate physics-based simulations, turn customer
More from the job description
About Periodic Labs We’re an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what’s scientifically possible. About the Role We’re using AI-driven simulation to solve hard physical process optimization problems in advanced manufacturing. As a forward deployed engineer focused on physics and simulation, you will be the technical backbone of our most demanding customer engagements – spending significant time on-site, embedding directly with customer teams, and owning simulation workflows end-to-end. You’ll work with our modeling and ML teams to build and calibrate physics-based simulations, turn customer process knowledge into computational models, and drive recipe optimization with direct feedback loops to production. This is a hands-on, high-ownership role at the frontier of AI for physical science. This role requires travel to and extended time on-site in Taiwan. What You’ll Do Own the simulation workflow end-to-end for customer engagements, from model setup and calibration through optimization and results interpretation Run, debug and modify physics-based simulations of complex physical pro [... source excerpt omitted ...] ling in Python – job submission, parameter sweeps, output parsing, integration Feed domain insights back to the research and product teams, shaping the next version our platform You Will Thrive in This Role If You Have A strong foundation in numerical simulation of continuum systems – fluid dynamics, heat transfer, structural mechanics, electromagnetics, or similar – gained through graduate research, industry, or both Hands-on experience solving partial differential equations numerically, including mesh generation, solver tuning, and debugging numerical instabilities Solid Python skills for scripting and scientific computing (NumPy, SciPy, or similar) A process engineer’s i
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