Principal Technical Program Manager, Hardware

Haydenai · posted Sep 30, 2026

Open to candidates in United States

$214k–$278k · Full-time · Principal

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What this job asks for

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Must have

  • •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
  • •Hardware reliability, regulatory compliance (FCC, CE)
  • •Supply chain risk management
  • •Embedded systems, hardware/software integration, or computer vision

Nice to have

  • •On-vehicle, edge-deployed, or ruggedized hardware experience
  • •Autonomous systems, robotics, or AI/ML hardware programs
  • •Delivering technology to government or municipal clients
  • •Familiarity with DFX methodologies
Read the full posting

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

What the job involves

The Principal Technical Program Manager will lead the development and execution of a portfolio of hardware programs. This role will collaborate with leaders across Hayden in highly ambiguous conditions to drive strategy into roadmaps and plans that deliver critical work on time and at high quality. They will set the standard for program excellence across the entire product lifecycle and drive systemic improvements across the company.

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

  • Experience delivering technology to government or municipal clients

  • Familiarity with DFX methodologies (DFA, DFI, DFS)

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