Physics Simulation Engineer

Stand Insurance • San Francisco, CA

137d • $160,000 - $210,000

About The Position

As a Physics Simulation Engineer on the Applied Science team, you’ll play a key role in developing and deploying advanced computational physics models, collaborating closely with engineers, technologists, and leadership in a highly interdisciplinary environment. We’re investing in physics-based simulation as a core capability to model and mitigate risk. This includes adapting traditionally high-cost engineering methods (e.g., CFD, FEA) into scalable, automated tools that operate orders of magnitude faster. You’ll also help us train machine learning models to understand the underlying laws of deterministic physics—transforming legacy workflows into modern, accessible systems. This role offers a front-row seat to shaping how high-fidelity simulation and AI intersect to characterize the physical world.

Requirements

• PhD or Master's in relevant field and 5+ years of experience with CFD, including simulation design, execution, and validation
• Proficiency with Fortran-based solvers, including both running existing models and extending/augmenting their functionality; fluency in C++, Python, or similar for scripting, integration, and tooling
• Strong intuition in thermofluids and heat transfer, including combustion modeling and radiation
• Proven ability to communicate and integrate technical knowledge across teams
• Experience calibrating and validating simulations against physical test results
• Experience with parallel programming (OpenMP, MPI), HPC workflows, and GPU acceleration
• Expertise in meshing, discretization, and pre-processing to align resolution with task complexity
• Cross-functionality: self-directed, adaptable, and comfortable in fast-paced, ambiguous environments

Responsibilities

• Owning our core CFD/thermofluid solvers and their supporting scripts and infrastructure
• Translating real-world physics into simulation code (e.g., combustion, wind dynamics)
• Tuning and validating models and methods against empirical data and experiments
• Running simulations and communicating results to cross-functional teams
• Accelerating traditional numerical solvers and simulation runtimes
• Supporting the development of AI-driven physics models alongside researchers and engineers

Benefits

• Comprehensive benefits including above-market Health, Dental, Vision
• Weekly lunch stipend
• Flexible time off
• 401k plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees