Principal Technical Program Manager, Hardware

Responsibilities

• Strategic Execution: Drive end-to-end delivery of enterprise engineering programs, bridging executive business goals and technical execution.
• Edge AI & On-Vehicle Systems: Partner with Perception and Platform engineering to ensure hardware programs account for the full edge inference stack - thermal envelope, compute constraints, sensor integration, and field serviceability - so that AI system requirements drive hardware decisions from day one.
• Advanced R&D & Technology Incubation: Partner with engineering leadership to drive early-stage R&D efforts, including proof-of-concepts (PoCs) and the rigorous evaluation of next-generation components, shaping the N+1 and N+2 product roadmaps.
• Phase Gate & Milestone Governance: Define, implement, and rigorously enforce phase gate reviews and program milestones across the hardware lifecycle. Ensure cross-functional readiness, quality standards, and executive alignment before advancing products to subsequent development phases.
• NPI Lifecycle & Manufacturing: Drive the end-to-end New Product Introduction (NPI) process (EVT, DVT, PVT) and oversee vendor delivery to ensure a seamless transition from prototype to Mass Production (MP).
• Requirements & Scope Definition: Partner with Engineering and Growth to shape what gets built at the hardware level — translating field feedback, customer deployment constraints, and regulatory requirements into clear hardware requirements before design begins, and holding the line on scope when program objectives drift.

Required Qualifications

• B.S., M.S., or Ph.D. in an engineering discipline
• 12+ years in Hardware TPM or Engineering Program Management
• Led 5+ multi-disciplinary hardware products from 0-to-1 through production
• Deep knowledge of NPI lifecycle (EVT, DVT, PVT, MP), phase gate governance, and CM/supplier management
• Experience with hardware reliability, regulatory compliance (FCC, CE), and supply chain risk
• Strong technical foundation in embedded systems, hardware/software integration, or computer vision systems

Preferred Qualifications

• Experience with on-vehicle, edge-deployed, or ruggedized hardware
• Background in autonomous systems, robotics, or AI/ML hardware programs…