Senior Technical Program Manager - Vehicle Platform & Autonomy Integration

Job Description

Job Description

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. We’re looking for a technical program manager to lead the integration effort that brings together perception, planning, controls, simulation, and vehicle platform teams into a single coherent release. You'll be the connective tissue across the autonomy stack, driving the program from architecture and integration milestones through on-road validation and readiness for deployment. You'll own program strategy, execution, and risk management across hardware, embedded software, and systems integration teams, working closely with hardware engineering, PMO, perception, and platform software groups to ship on schedule.

In this role, you will:

• Own the integration roadmap for the Vehicle autonomy platform, coordinating across perception, motion planning, controls, simulation, and vehicle software teams.
• Drive cross-team milestone planning, dependency mapping, and risk tracking for a program with many interlocking software subsystems.
• Partner with autonomy engineering and safety teams to define integration test plans, validation gates, and readiness criteria for on-road deployment.
• Run regular program syncs, milestone reviews, and executive readouts; translate technical status into clear risk/impact narratives for leadership.
• Anticipate integration risks (interface mismatches, regression risk, simulation-to-real-world gaps) and drive mitigation plans with engineering owners.
• Support release planning and coordination with safety, release management, and field operations teams as needed for Vehicle platform deployment.
• Continuously improve integration processes as the platform and org scale.
• Establish and evolve program management processes (planning cadences, milestone reviews, launch readiness criteria) for a fast-moving hardware-software program.

Qualifications

• BS or MS degree in computer science, engineering or equivalent job experience
• 8+ years of technical program management experience, ideally on complex software integration programs (autonomy, robotics, safety-critical systems, or large-scale distributed software).
• Solid technical grounding in software systems — comfortable with architecture discussions across perception, planning/controls, or similar autonomy subsystems.
• Experience managing multi-team integration programs with heavy interdependencies and evolving requirements.
• Strong stakeholder management skills; able to align engineering, safety, and leadership around a shared plan.
• Sharp written/verbal communication and a structured approach to risk and schedule management.

Bonus Qualifications

• Experience in autonomous vehicles, ADAS, robotics, or safety-critical software systems strongly preferred.

Base Salary Range

 

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

 

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.