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Job Summary:
Luminary is a Series B company headquartered in San Mateo, California, that helps engineering companies be more competitive through its Physics AI platform. As the Senior/Principal Lead Delivery Engineer for Semiconductor, you will own customer outcomes and lead a matrixed value delivery team, translating complex engineering challenges into effective AI solutions.
Responsibilities:
• 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.
• 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 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.
• Bring market and customer signal back to Product and Research, directly shaping Luminary's roadmap for semiconductor use cases.
Qualifications:
Required:
• 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.
• Multi-physics fluency across semiconductor disciplines: EDA, thermal and chip-package-board co-analysis, electromagnetics, signal and power integrity, fluid dynamics for fab equipment, structural mechanics, or multi-physics optimization. Generalist depth across several of these is more valuable than world-class depth in one.
• Strong hands-on engineering chops — Python, scripting, simulation tools, and AI/ML workflows. Comfortable diving into code, models, or simulation setups when needed.
• 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. You influence through clarity, credibility, and outcomes.
• Product instinct: a track record of choosing the right problems to solve and shipping things that get used — not just demos that get cited.
• Customer-facing presence: 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.
Preferred:
• Advanced degree (MS or PhD) in Electrical, Mechanical, Materials, or related engineering discipline.
• Prior experience at semiconductor capital equipment companies (e.g., Applied Materials, Lam Research, KLA, ASML, Tokyo Electron), chip designers/foundries (e.g., NVIDIA, AMD, Intel, TSMC, Samsung, Qualcomm, Broadcom), or EDA/simulation companies serving semiconductor.
• 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.
Company:
Luminary Travel designs bespoke high-end travel itineraries and private experiences for individual and corporate clients. Founded in 2013, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.