Senior/Principal Lead Delivery Engineer — Aerospace

Luminary Cloud•San Mateo, CA

3d•Onsite

About The Position

Luminary is seeking a Senior/Principal Lead Delivery Engineer for Aerospace to drive customer success on their Physics AI platform. This role involves managing project delivery, acting as a product manager, and leading a cross-functional team to develop and deploy AI solutions for complex aerospace engineering problems. The ideal candidate will have a strong technical background in aerospace, multi-physics fluency, and experience with AI/ML in engineering contexts. This is a full-time, onsite position in San Mateo, CA.

Requirements

5–10 years of experience in a technical role in aerospace — aerospace OEMs, eVTOL/UAM, space, propulsion, or aerospace-adjacent engineering software. Principal-level candidates have an extensive track record in aerospace.
Multi-physics fluency across aerospace disciplines: aerodynamics, structural mechanics, aeroelasticity, propulsion, thermal-structural coupling, composites, or multi-physics simulation. Generalist depth across several disciplines is more valuable than world-class depth in one.
U.S. Person required.
Strong hands-on engineering chops — Python, scripting, simulation tools, and AI/ML workflows.
Working knowledge of AI/ML applied to engineering — surrogate modeling, neural operators, physics-informed ML, or digital twins.
Demonstrated ability to lead cross-functional technical teams without direct authority.
Product instinct, customer-facing presence, exceptional communication.
Self-starter, persistent through iteration, willing to travel 10–25% to customer sites.

Nice To Haves

Advanced degree (MS or PhD) in Aerospace, Mechanical, or related field.
Prior experience at commercial aerospace OEMs (Boeing, Airbus, Bombardier, Embraer, Textron), eVTOL/UAM (Joby, Archer, Wisk, Beta, Lilium), space (SpaceX, Blue Origin, Rocket Lab, Relativity, Stoke), or propulsion (Rolls-Royce, GE Aerospace, Pratt & Whitney, Safran).
Hands-on experience with CFD, FEA, aeroelasticity, MDO, or certification-relevant analysis.
Understanding of how AI-driven simulation integrates into aerospace development and certification workflows.
Active or obtainable U.S. security clearance for engagements with cleared aerospace customers.

Responsibilities

Own end-to-end customer outcomes across new and existing aerospace accounts — from discovery and use case scoping through model development, deployment, and embedding into customer engineering workflows.
Author Statements of Work (SOWs), educate customers on the engagement plan, and own delivery accountability against them.
Lead a value delivery team in a matrix structure: Applications Engineers, Applied AI/ML Scientists, Data and Platform Engineers, and selected product engineers. Set technical direction, sequence the work, remove blockers.
Operate as a dual hat — project manager and product manager — running sprints, milestones, and risk while also choosing the right use cases and shaping the product intuition for what to build next.
Stay hands-on-keyboard where it matters. Debug a model, restructure a data pipeline, prototype a workflow integration. Lead from the front, not from slides.
Embrace co-engineering: work side-by-side with customers on use case development, sharing knowledge and building trust through visible, collaborative work.
Partner with GTM team on new account engagement, GTM-to-delivery handoff, and account growth.
Bring market and customer signal back to Product and Research, directly shaping Luminary's roadmap for aerospace use cases.