Luminarycloud
Senior/Principal Lead Delivery Engineer — Automotive
San Mateo, CA · Principal · Full-time
Sponsorship not specified$10k-$25kDetected 26 days ago
PythonMachine LearningProject ManagementThermal AnalysisElectrical EngineeringResearch
About the role
- Full-time position | San Mateo, CA (Onsite) JOIN THE REVOLUTION IN ENGINEERING INNOVATION Luminary helps engineering companies be more competitive by getting to market faster, creating better products, and reducing development risk.
- Luminary is a Series B company headquartered in San Mateo, California.
- Set technical direction, sequence the work, remove blockers.
Responsibilities
- As the Senior/Principal Lead Delivery Engineer for Automotive, you own customer outcomes end-to-end for Luminary's engagements with OEMs, Tier-1 suppliers, and EV/ADAS innovators.
- You translate the hardest problems in vehicle design, propulsion, electrification, and manufacturing into Physics AI solutions, and partner with the GTM team on account engagement and growth.
- Own end-to-end customer outcomes across new and existing automotive accounts - from discovery and use case scoping through model development, deployment, and embedding into customer engineering workflows.
- Lead a value delivery team in a matrix structure: Applications Engineers, Applied AI/ML Scientists, Data and Platform Engineers, and selected product engineers.
- 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.
- Lead from the front, not from slides.
- Embrace co-engineering: work side-by-side with customer engineers on use case development, sharing knowledge and building trust through visible, collaborative work.
- Partner with the GTM team on new account engagement, GTM-to-delivery handoff, and account growth.
- YOUR IMPACT As the Senior/Principal Lead Delivery Engineer for Automotive, you own customer outcomes end-to-end for Luminary's engagements with OEMs, Tier-1 suppliers, and EV/ADAS innovators.
Requirements
- 5-10 years of experience in a technical role in a relevant industry (engineering, simulation, R&D, advanced engineering, technical program management, or applied AI/ML).
- Principal-level candidates have an extensive track record in automotive.
- Working knowledge of AI/ML applied to engineering - surrogate modeling, neural operators, physics-informed ML, or digital twins.
- Product instinct: a track record of choosing the right problems to solve and shipping things that get used - not just demos that get cited.
- WHAT YOU BRING 5-10 years of experience in a technical role in a relevant industry (engineering, simulation, R&D, advanced engineering, technical program management, or applied AI/ML).
- You are a dual hat - project manager and product manager - leading a value delivery team across Applications Engineering, Applied AI/ML, Data & Platform, and product engineering in a matrix structure.
Nice to have
- Advanced degree (MS or PhD) in Mechanical, Aerospace, Electrical Engineering, or related field.
- Familiarity with software-defined vehicle (SDV) architectures and how simulation/AI integrates into next-generation vehicle development.
- Track record of deploying ML or simulation tooling into production engineering workflows (not just research demos).
- equally credible explaining a physics model to a chief engineer and walking a customer roadmap with Luminary leadership.
- Self-starter mentality, comfortable with ambiguity, persistent through iteration.
- You question what you are asked to do and prioritize what actually moves the needle.
- Willing to travel 10-25% to customer sites.
Compensation
- $10k-$25k
Company info
- Author Statements of Work (SOWs), educate customers on the engagement plan, and own delivery accountability against them.
- We do this through our Physics AI platform - the fastest and easiest way to build and deploy models that understand and instantly predict physical reality with precision.
- Our customers span industries from automotive and aerospace to defense, industrial, semiconductors, and energy - ranging from hyper-growth startups to Fortune 100 enterprises.
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