Forward Deployed Engineer, Physics & Simulation

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$180K-$250K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

84% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Forward Deployed Engineer, Physics & Simulation Menlo Park, California, United States 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

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