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

Zoox - Foster City, CA, United States - In-office - posted 2026-10-20

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Zoox is seeking a Senior/Staff Software-Hardware Integration Technical Program Manager to lead autonomy integration programs. You will work across multiple engineering teams (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System, Sensors, Compute, Vehicle Platform) to build an integrated hardware-software roadmap, timeline, and set of deliverables. Key responsibilities include: - Drive end-to-end hardware-software integration programs, covering sensor bring-up (cameras, lidars, radars), compute platform transitions (GPU, memory, SoC), and their impact on autonomy software performance, latency, and resource budgets - Line up software release trains and vehicle integration milestones, managing dependencies and handoffs between teams - Drive cross-functional autonomy teams to build and ship solutions that improve driving behavior - Identify hardware-software integration and program risks early, and develop mitigation plans - Build and deliver executive presentations on program status, issues, risks, and accomplishments - Manage complex cross-functional projects and solve integration challenges This role requires deep technical understanding of both hardware and software development cycles, strong program management discipline, and the ability to communicate across senior leadership, program managers, and engineers. REQUIREMENTS: - BS/MS in computer science, electrical engineering, computer engineering, or related field (or equivalent experience) - 10+ years of engineering program management experience - Track record of driving hardware-software integration programs, ideally in autonomous vehicles, automotive, robotics, aerospace, or consumer electronics - Working knowledge of AV sensors (cameras, lidars, radars) and compute platforms (GPUs, memory, embedded and accelerated systems) - Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, or automotive/aerospace processes - Deep familiarity with software development processes and understanding of hardware development cycles and build phases - Proficiency with program tools and methods (Gantt charts, risk matrices, Smartsheet, JIRA) - Strong track record managing complex cross-functional projects and solving problems - Ability to maintain big-picture perspective and communicate clearly for different audiences - Excellent written, verbal, and presentation skills, including ability to visualize KPIs and program risks BONUS QUALIFICATIONS: - Hands-on experience with sensor and compute systems and their integration with autonomy software - Experience developing and scaling strategy, processes, plans, procedures, and reporting; handling escalations - Strong references demonstrating ability to build good working relationships with senior leaders, program managers, and engineers across functions

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