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Accelerated Physics Simulation Engineer – Agentic Computational Engineering (ACE)

1 hour, 1 minute ago
United States
Full-time
Mid Level
AI Engineer
Software Development
LLM Machine Learning PyTorch TensorFlow
Apply Now
Voyager

Voyager

Voyager specializes in providing innovative defense and space technology solutions, focusing on advanced systems and infrastructure that support mission-critical operations from ground to space.

Life Sciences Tools & Services
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Description

  • Design and implement fast physics solvers for use in agentic optimization loops.
  • Develop surrogate models that approximate high-fidelity simulations at much lower cost.
  • Integrate accelerated solvers and surrogates into the ACE platform for AI agent use.
  • Work with the ACE Applications Lead to define key regimes, quantities of interest, and physical credibility checks.
  • Create and curate training and validation datasets using commercial or open-source solvers and automated parameter sweeps.
  • Profile and optimize GPU kernels and numerical pipelines to achieve major speedups while preserving accuracy.
  • Develop test harnesses, benchmarks, and diagnostics to monitor model accuracy, stability, and performance.
  • Use LLMs to speed up coding, experiment scripting, documentation, and numerical simulation work.
  • Leverage advanced LLM tooling to assist with complex mathematics and simulation generation.

Requirements

  • PhD in Computational Physics, Mechanical or Aerospace Engineering, Applied Mathematics, Computer Science with a focus on numerical methods, or a related field; or a Master’s degree plus 3 years of highly relevant experience.
  • 0–3 years of post-PhD industry, startup, or postdoctoral experience, or 3–6 years total experience in computational science/engineering.
  • Hands-on experience implementing numerical methods for PDEs in research or production environments.
  • Experience with at least one scientific computing or ML framework such as JAX, PyTorch, or TensorFlow.
  • Experience with at least one GPU or performance-oriented technology such as CUDA or PhysicsNEMO.
  • Demonstrated experience speeding up simulations or building physics surrogate models with quantitative results.
  • Demonstrated AI-first workflow using LLMs to generate, refactor, and test code.
  • Experience with CFD, thermal, structural, plasma, electrical, power, or electromagnetic simulations is preferred.
  • Experience with physics-informed neural networks, neural operators, or other ML-based surrogates is preferred.
  • Familiarity with differentiable programming and adjoint methods is preferred.
  • U.S. citizenship, lawful permanent residency, protected individual status, or eligibility to obtain required U.S. Department of State authorization under ITAR.

Benefits

  • Competitive salary of $165,000–$250,000 depending on location.
  • Discretionary annual bonus plan.
  • Paid time off (PTO).
  • Comprehensive health benefits package.
  • Retirement savings plan.
  • Wellness program.
  • Other additional benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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