Simulation Physicist

Spectral Labs; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Health insurance

Dental

401(k) match

Meals and commuting

Job summary

Spectral Labs is building foundation models for engineering physical systems and seeks a simulation physicist to integrate physics into model learning and evaluation. You will design scalable simulation pipelines (FEA, CFD, multiphysics) and automate them in Python or C++, contributing to training data, rewards, and model assessments.

The role is fully in person at the SF office with total compensation between $300k–$400k annually, visa sponsorship, and benefits including health, dental, a

Qualifications

• 7–10 years of experience in computational physics or engineering simulation.
• Deep knowledge of numerical methods and at least one major solver.
• Programming skills to automate simulations in Python or C++.

Responsibilities

• Build simulation pipelines (FEA/CFD/multiphysics) that scale on generated geometry.
• Turn simulation results into training data, rewards and evaluations for models.
• Collaborate with research to identify model needs for accurate physics.
• Automate workflows to integrate physics with machine learning.

Skills

Computational physics

Numerical methods

Python

C++

Machine learning integration

Simulation pipelines

Tools

FEA solver

CFD solver

Multiphysics tools

Job description

Spectral Labs is building foundation models for engineering physical systems. We’re looking for a simulation physicist to make physics a first-class part of how our models learn and how we judge them: building simulation pipelines, including FEA, CFD, and multiphysics, that run at scale on generated geometry, turning simulation results into training data, rewards, and evaluations, and working with research on what our models need to get right. You bring 7–10 years of experience in computational physics or engineering simulation, deep knowledge of numerical methods and at least one major solver, and the programming skills to automate it in Python or C++. Experience combining simulation with machine learning is a big plus. We’re excited about people who can make an impact, whatever their background.

This is a fully in‑person role at our office in SF. Compensation and equity total $300–400k annually. We sponsor visas end‑to‑end, and benefits include health insurance (with a 100%-premium option), dental, a 401(k) match, and company‑expensed meals and commuting.