Luminarycloud
Senior/Principal Lead Delivery Engineer — Semiconductor
San Mateo, CA · Principal · Full-time
Sponsorship not specified$10k-$25kDetected 26 days ago
PythonMachine LearningProject ManagementResearch
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 Semiconductor, you own customer outcomes for Luminary's engagements with semiconductor capital equipment makers, chip designers and foundries, and advanced packaging and photonics companies.
- You translate the hardest problems in fab equipment design, chip thermal and electromagnetic analysis, and advanced packaging into Physics AI solutions, and partner with the Director of Industrial Sector on account engagement and growth.
- Own end-to-end customer outcomes across new and existing semiconductor 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 semiconductor 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 Semiconductor, you own customer outcomes for Luminary's engagements with semiconductor capital equipment makers, chip designers and foundries, and advanced packaging and photonics companies.
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 the semiconductor industry.
- 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 matrixed value delivery team across Applications Engineering, Applied AI/ML, Data & Platform, and product engineering.
Nice to have
- Advanced degree (MS or PhD) in Electrical, Mechanical, Materials, or related engineering discipline.
- Experience with fab equipment engineering - etch, deposition, lithography, metrology - or chip-level thermal/EM analysis at advanced process nodes.
- Familiarity with advanced packaging (2.5D/3D, chiplets, HBM) and the multi-physics challenges they introduce.
- Track record of deploying ML or simulation tooling into production engineering workflows.
- 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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