Senior Solutions Engineer - FEA & Physics AI

Luminary CloudSan Mateo, CA
Hybrid

About The Position

Solutions Engineers are the technical backbone of every Luminary AI opportunity. You'll partner with Account Executives to lead pre-sales engagements from first discovery call through pilot. We're hiring SEs grounded in a specific physics discipline — structural mechanics and FEA, in this role — who bring that depth to Physics AI use cases across our customer base. The role is technically heavy: most of your week will be in demos, validation studies, and surrogate model evaluation, with the rest spent on the commercial motion — qualification, scoping, proposals, and executive storytelling.

Requirements

  • PhD in Mechanical, Aerospace, Civil Engineering, or related, 2-5 years of post-PhD experience in structural simulation, technical sales, or applied research
  • Hands-on FEA expertise — stress analysis, fatigue, vibration/NVH, composites, or nonlinear statics — with fluency in commercial solvers (Abaqus, ANSYS Mechanical, Nastran, or similar)
  • Experience with explicit dynamics for crash, impact, or drop-test simulation
  • Working knowledge of Physics AI and ML surrogates (neural operators, GNNs, transformers for PDEs)
  • Python proficiency for scripting, automation, and API/SDK workflows
  • Strong commercial instincts — you can read a room, qualify fast, and tell a clean technical story to a non-technical buyer
  • Willingness to travel (~25%) to customer sites across North America

Nice To Haves

  • Background working with aerospace, automotive, defense, or industrial manufacturing customers
  • Experience with open-source FEA (CalculiX) or topology optimization workflows
  • Experience with PyTorch and frameworks like PhysicsNeMo, Modulus, or equivalent
  • Experience with HPC environments and cloud computing platforms

Responsibilities

  • Run discovery and qualification on new opportunities, translating customer pain into scoped Physics AI use cases
  • Build demos, benchmarks, and validation studies using Luminary generated data or customer data
  • Contribute to applied R&D in AI/ML for structural mechanics — evaluating new architectures, prototyping surrogate workflows, and stress-testing model performance on real customer geometries and load cases
  • Own the technical narrative in customer meetings — from engineer-level deep dives to VP/CTO storytelling
  • Collaborate with internal product and engineering teams to translate customer needs into Luminary platform enhancements
  • Present at customer sites and industry conferences to demonstrate Physics AI capabilities
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