Full Time | Eligible for Hybrid, Remote

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 — CFD, 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.

What you'll do in this Role:

• 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 CFD — evaluating new architectures, prototyping surrogate workflows, and stress-testing model performance on real customer geometries and flow regimes
• 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

What we're looking for:

A self-starter engineer with the ability to manage complex, multi-stakeholder technical evaluations. Primarily:

• PhD in Mechanical, Aerospace, Chemical Engineering, or related, 0-3 years of post-PhD experience in CFD, technical sales, or applied research
• Hands-on CFD expertise — external/internal aerodynamics, turbomachinery, multiphase, or combustion — with fluency in commercial or open-source solvers
• 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

Ways to Stand Out:

• Background working with aerospace, automotive, defense, or turbomachinery customers
• Experience with PyTorch and frameworks like PhysicsNeMo, Modulus, or equivalent
• Experience with HPC environments and cloud computing platforms

Eligibility: Candidates must be based in the United States and satisfy all listed requirements.