Periodic Labs

AI and physical sciences

ForwardDeployedEngineer,Physics&Simulation

$180–250k Menlo Park, California, United States; San Francisco, California, United States; Taiwan FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Forward Deployed Engineer, Physics & Simulation at Periodic Labs. Skills: Physics simulation, AI simulation, Process optimization, Customer engagement. Own simulation workflow end-to-end. Build physics-based simulations”

What You'll Achieve.

Accelerate scientific breakthroughs; Solve hard physical process optimization problems; Drive iterative recipe optimization; Shape next generation platform

Industry & Context.

AI and physical sciences
Problems you'll solve

Solve physical process optimization problems

Eligibility Requirements

Travel to Taiwan, Extended time on-site in Taiwan

What They're Looking For.

Must Have

Foundations in numerical simulation, Hands-on experience building or running simulations, Proficiency in Python for scripting, Process engineering or physics mindset, Communication skills and comfort working with customer teams, Willingness to spend extended periods on-site, Self-starter orientation

Nice to Have

Background in computational fluid dynamics (CFD), Graduate-level research experience building simulation software, Experience in semiconductor or advanced packaging processes, Familiarity with physics-informed ML, Experience integrating simulation tools, Proficiency in Mandarin, Background in a lab or experimental environment

What You'll Do.

Own simulation workflow end-to-end

Build physics-based simulations

Run physics-based simulations

Debug physics-based simulations

Collaborate with customer engineering teams

Understand process constraints

Interpret simulation outputs

Translate findings into improvements

Couple simulation outputs with ML/RL teams

Develop simulation tooling

Extend simulation tooling

Iterate on model fidelity

Iterate on meshing strategies

Iterate on solver configurations

Surface domain insights

Contribute to documentation

Contribute to runbooks

Contribute to process guides

How You'll Work.

Team & Collaboration

Internal modeling teams; ML teams; RL teams; Customer engineering teams; Research teams; Product teams

Communication Scope

Translating between models; Translating between realities

Full Job Description

ABOUT PERIODIC LABS The most important scientific discoveries of our time won’t happen in a traditional lab. 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 Periodic Labs is deploying AI-driven simulation to solve some of the hardest physical process optimization problems in advanced manufacturing. As a Forward Deployed Engineer focused on physics and simulation, you will be the technical engine behind our most demanding customer engagements — spending significant time on-site, embedding directly with customer teams, and owning the end-to-end simulation workflow that makes our platform work in the real world. You will work alongside our internal modeling and ML teams to build, calibrate, and iterate on physics-based simulations, translate customer process knowledge into computational models, and drive iterative recipe optimization with direct feedback loops to production. This is a hands-on, high-ownership role at the frontier of AI for physical science. Willingness to travel to and spend extended time on-site in Taiwan is required. WHAT YOU’LL DO - Own the simulation workflow end-to-end for customer engagements — from model setup and calibration to iterative recipe optimization and results interpretation - Build, run, and debug physics-based simulations of complex physical processes, including multiphase flow, capillary dynamics, viscosity evolution, and curing behavior - Collaborate directly with customer engineering teams on-site to understand process constraints, interpret simulation outputs, and translate findings into actionable process improvements - Partner with Periodic’s internal ML and RL teams to couple simulation output

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