Accelerated Physics Simulation Engineer – Agentic Computational Engineering (ACE)

Washington, DC · full time · Junior

$165,000 – $250,000

Listed on Voyager’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role develops fast physics simulation engines and AI-accelerated surrogates that let autonomous agents optimize hardware designs across millions of iterations. It suits computational scientists or engineers who thrive at the intersection of numerical methods, GPU computing, and machine learning, and who want to compress years-long engineering cycles into days.

Our summary, not Voyager’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

PhD in Computational Physics, Mechanical or Aerospace Engineering, Applied Mathematics, Computer Science (numerical methods focus), or related field; or Master's degree with 3+ years relevant experience
0–3 years post-PhD industry or postdoctoral experience (or 3–6 years total computational science/engineering experience)
Hands-on implementation of numerical methods for PDEs (FEM, FVM, FDM, or particle/mesh-free methods)
Experience with at least one major scientific computing or ML framework (JAX, PyTorch, TensorFlow)
Experience with at least one GPU or performance-oriented technology (CUDA, PhysicsNEMO, etc.)
Demonstrated experience accelerating simulations or building physics surrogate models with quantitative results
AI-first workflow using LLMs to generate, refactor, and test code
U.S. citizen or eligible for required export authorization

Nice to have

CFD, structural mechanics, heat transfer, or plasma physics experience in aerospace or propulsion
Electrical, power, and electromagnetic simulation experience for PCB or RF systems
Prior work on PINNs, neural operators (FNO, UNO), or ML-based physics surrogates
Experience coupling commercial or open-source solvers with custom automation code
Familiarity with differentiable programming and adjoint methods
Track record of side projects, open-source contributions, or competition results in computational physics