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Programmer Physics Simulation Jobs (NOW HIRING)

Customize foundation models for Physics AI and physics simulation domain expertise through fine-tuning, prompt engineering, and evaluation frameworks * Deploy and scale LLM infrastructure : Build ...

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... You will be responsible for developing physics-accurate models of ICON's robotic platforms ...

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How much do programmer physics simulation jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for programmer physics simulation in the United States is $30.96, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $34.86 per hour, depending on experience, location, and employer.

Fluid Simulation Engineer

DeepSim - AI physics simulations

Palo Alto, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Fluid Simulation Engineer

We are looking for a Fluid Simulation Engineer with deep expertise in numerical simulation of fluid flow. You'll play a key role in advancing DeepSim's core simulation engine by designing solvers, modeling complex flow regimes, and enabling high-performance inference for large-scale engineering use cases.

Responsibilities

  • Develop, implement, and optimize CFD/FEM-based fluid solvers for convection and heat transfer PDEs with multiphysics interactions.
  • Investigate and enhance solver stability, accuracy, and performance across a variety of regimes and geometries.
  • Build core simulation components and modeling pipelines that support AI-driven simulation frameworks.
  • Collaborate with AI and systems engineers to create hybrid numerical/ML simulation architectures.
  • Evaluate new numerical techniques, discretization strategies, and high-performance computing optimizations.

Qualifications

  • Strong background in fluid simulations using CFD or FEM methods.
  • Deep understanding of numerical solver mechanics and experience building CFD/FEM tools from scratch or modifying existing open-source frameworks.
  • Proficiency in Python and C/C++, with experience writing high-performance and maintainable scientific code.
  • Familiarity with HPC environments, GPU acceleration, or distributed computing is a plus.
  • Master's or PhD in engineering, applied physics, or a related discipline.