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Zoox

Robot type
Autonomous Vehicle
Location
Foster CityCaliforniaUSA
Job type
Product
Posted
Oct 20, 2026
Salary
$212,000–$267,000 a year
Full-time

Senior/Staff Software-Hardware Integration Technical Program Manager - Autonomy

Job description

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

Job responsibilities

  • Work with SW and HW engineering leaders and their TPMs (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System, Sensors, Compute, Vehicle Platform) to build one integrated…
  • Drive HW-SW integration programs end to end. This covers sensor bring-up (cameras, lidars, radars), compute platform transitions (GPU, memory, SoC) and how they affect Autonomy software performance, latency and…
  • Line up SW release trains and vehicle integration milestones, and manage the dependencies and handoffs between teams
  • Drive cross-functional Autonomy teams to build and ship solutions that improve driving behavior
  • Find HW-SW integration and program risks early, and build plans to reduce them
  • Build and deliver executive presentations on program status, issues, risks and accomplishments

Job requirements

  • BS/MS in computer science, electrical engineering, computer engineering or a related field, or equivalent experience
  • 10+ years of engineering program management experience
  • A track record of driving HW-SW integration programs, ideally in autonomous vehicles, automotive, robotics, aerospace or consumer electronics
  • Working knowledge of AV sensors (cameras, lidars, radars) and compute (GPUs, memory, embedded and accelerated platforms)
  • Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, or automotive/aerospace processes
  • Deep familiarity with software development processes, plus understanding of HW development cycles and build phases
  • Skill with program tools and methods such as Gantt charts, risk matrices, Smartsheet and JIRA
  • A strong track record of managing complex cross-functional projects and solving problems

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