Senior Forward Deployed Engineer — CFD

Luminary

  • San Mateo
  • 30+ days ago

    Highlights

    You take the hardest simulation problems a customer brings and turn them into deployed Physics AI solutions — from data generation, through model development, into production workflows — embedded alongside customer engineers. A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion.

    Numbers & Facts

    LocationSan Mateo

    Description

    ABOUT THE ROLE

    As a Senior Forward Deployed Engineer on Luminary's Applications Engineering team, you're the physics-domain expert inside a customer value delivery team. You work in a matrix under a Lead Delivery Engineer, alongside Applied AI/ML Scientists, Data & Platform engineers, and product engineers. You take the hardest simulation problems a customer brings and turn them into deployed Physics AI solutions — from data generation, through model development, into production workflows — embedded alongside customer engineers.


    WHAT YOU'LL DO

    • Lead the technical delivery of Physics AI engagements as the resident physics expert on the value delivery team.
    • Translate customer engineering problems into simulation campaigns, training datasets, and surrogate model architectures.
    • Run the simulations that generate high-quality training data, validating physical fidelity with customer SMEs.
    • Partner with Applied AI/ML Scientists on model selection, training, and validation against ground-truth simulations.
    • Work with Data & Platform engineers to integrate models into production workflows.
    • Build trust with customer engineers through technical credibility and shipped outcomes.
    • Travel to customer sites to support deployment, training, and engagement reviews.
    • Bring customer signals back to Product and Research to shape the Physics AI roadmap.

    WHAT YOU BRING

    • Industrial CFD experience, with hands-on depth in a core discipline.
    • Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.
    • Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.
    • Pre-sales or customer-facing delivery experience, including running technical evaluations, building POCs, and scoping engagements.
    • Strong communication with technical audiences.

    WHO WE'RE LOOKING FOR

    • A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.


    Eligibility: Limited to U.S. Persons; not eligible for visa sponsorship now or in the future.


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