Senior Forward Deployed Engineer — FEA

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 structural mechanics / FEA 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, Civil, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: stress analysis, fatigue, crashworthiness, vibration/NVH, or composite structures. Fluency in commercial solvers — Ansys Mechanical, Abaqus, Nastran, LS-DYNA, 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.