Senior / Principal Solutions Engineer, Physics AI

Luminary Cloud•San Mateo, CA
•Onsite

About The Position

As a Solutions Engineer at Luminary, you will help customers turn complex engineering challenges into clear technical opportunities. You will work with engineering teams to understand the problem, identify where Luminary can have the greatest impact, and shape solutions around their simulation and design workflows. The role requires strong engineering judgment, curiosity, and the ability to connect customer needs with the right technical path. You should be comfortable moving between detailed technical discussions with simulation engineers and broader conversations with engineering leaders, IT and infrastructure teams.

Requirements

  • BS, MS, or PhD in Mechanical Engineering, Aerospace Engineering, or a related engineering discipline.
  • Relevant industry experience appropriate for the Senior or Principal level.
  • Strong experience with engineering simulation, including CFD or other CAE disciplines.
  • Experience in a customer-facing technical role such as Solutions Engineering, Applications Engineering, Technical Consulting, or technical presales.
  • Strong communication skills with both hands-on engineers and technical leadership.
  • Familiarity with Python, APIs, SDKs, or engineering workflow automation.

Nice To Haves

  • Experience in simulation-intensive industries such as aerospace, defense, automotive, energy, or thermal management.
  • Experience with commercial or open-source CAE tools such as Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, OpenFOAM, or similar.
  • Working knowledge of machine learning, Physics AI, or related data-driven engineering methods.

Responsibilities

  • Lead technical discovery and define approaches for complex CAE use cases.
  • Deliver technical demonstrations, workshops, and proofs of concept tailored to customer needs.
  • Partner with Account Executives through the sales cycle, and with Forward Deployed Engineering, AI/ML, Product, and Engineering on technical engagements.
  • Help customers understand how Physics AI, simulation, and automation fit into their engineering workflows.
  • Identify technical risks, integration requirements, and product gaps, and contribute to proposals and scopes of work.
  • Bring customer feedback back to Product and Engineering, and develop reusable demos, solution patterns, and technical content.
  • Identify and scope new use cases with existing customers.
  • Travel to customer sites for workshops, demonstrations, and technical reviews.
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