Forward Deployed Engineer Physics and Simulation

AI research and deployment company building AI scientists and autonomous laboratories for physical-science discovery.

Menlo Park, United States
About Periodic Labs

Periodic Labs develops specialized AI models and high-throughput autonomous labs that run and analyze physical experiments, initially for materials discovery including superconductors, magnets, and semiconductor applications.

View jobs by Periodic Labs

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will embed with customer engineering teams and own simulation workflows from model setup and calibration through optimization and interpretation. You will develop physics-based simulation tools in Python, validate experiments, optimize recipes, and feed customer-domain insights into research and product development.

Requirements

  • Knowledge of numerical simulation of continuum systems
  • Experience solving partial differential equations numerically
  • Experience with mesh generation, solver tuning, and debugging numerical instabilities
  • Python scientific computing skills
  • Experience working directly with customer engineers
  • Willingness to spend extended periods on-site in Taiwan
  • Bachelor’s degree or similar experience

Responsibilities

  • Own simulation workflows for customer engagements from setup and calibration through optimization and interpretation
  • Run, debug, and modify physics-based simulations
  • Work on-site with customer engineering teams to improve processes
  • Build LLM-based simulation workflows for validation, parameter fitting, and recipe optimization
  • Build and extend Python simulation tooling for job submission, parameter sweeps, output parsing, and integration
  • Feed domain insights into research and product development
  • Travel to and spend extended periods on-site in Taiwan

Benefits

  • Equity
  • Visa sponsorship