Forward Deployed Engineer, Physics & Simulation

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 processes in diverse domains, such as microfluidics, charge transport and structural deformation
• Work on-site with customer engineering teams on-site to understand process constraints, interpret simulation results into real process improvements
• Write tools, skills and agents to reliably drive end-to-end LLM-based simulation workflows, including experimental validation, parameter fitting and recipe optimization
• Build and extend simulation tooling 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 instinct: you treat simulations as tools for answering real process questions, not just jobs to run
• Strong communication skills and genuine comfort working directly with customer engineers
• Willingness to spend extended periods on-site in Taiwan
• A self-starter mindset: you can take a technical problem from definition to deployed result without much hand-holding

Especially Strong Candidates May Also Have

• CFD background, including tools like OpenFOAM, ANSYS Fluent, Star-CCM+, or custom solvers
• Grad-level research experience building simulation software in domains like mechanical or chemical engineering, weather modeling, astrophysics, or materials processing
• Familiar with semiconductor manufacturing processes
• Familiarity with physics-informed ML, surrogate modeling, or neural operators applied to simulation acceleration
• Experience integrating simulation tools into larger software platforms or automated optimization pipelines
• Mandarin proficiency for on-site collaboration in Taiwan
• Lab or experimental background, with an appreciation for how simulation connects to physical data

Mechanics

Minimum education: Bachelor’s degree or similar experience

Location: Menlo Park, CA + frequent travel to Taiwan

Compensation: $250,000-$350,000 + equity

Visa sponsorship: Yes, we sponsor visas.