Staff Technical Program Manager, Robot Platform Validation & Verification
Job Summary
Job Description
In this Technical Program Manager (TPM) role for the Robot Platform, you will lead hardware (HW) and firmware (FW) verification and validation (VnV) strategies from component to system levels. Your key goal is to consolidate existing verification efforts, ensure upstream verification, confirm the availability of proper assets and test cases, and guarantee accurate documentation and communication of results. You will manage teams, deliver under tight deadlines, and collaborate with engineering leaders across various disciplines, including hardware, software, infrastructure, procurement, and finance, as well as suppliers. Responsibilities include developing project schedules, identifying milestones, flagging risks, estimating budgets, and communicating progress to the executive team. You will own the end-to-end Robot Platform VnV strategy, develop detailed plans with test assets and timing, map requirements to verification tasks, identify and close gaps with cross-functional teams, and define and schedule all VnV work. Additionally, you will develop processes, templates, KPIs, and reports to monitor VnV progress.
Must have:
- Engineering degree with 10+ years of hands-on experience.
- Experience in software and hardware development.
- Strong track record managing complex, cross-functional projects.
- Excellent communication and organizational skills.
- Ability to maintain focus on the big picture and communicate clearly.
- Own end-to-end Robot Platform VnV strategy.
- Develop detailed plans including test assets and timing.
- Lead cross-functional teams in defining and scheduling VnV work.
Good to have:
- Vehicle system engineering experience.
- Cloud software and firmware experience.
Perks:
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Sign-on bonus may be offered
- Paid time off (sick leave, vacation, bereavement)
- Unpaid time off
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
4 skills required
Job Details
In this Technical Program Manager (TPM) role, you will be responsible for leading the overall hardware (HW) and firmware (FW) verification and validation (VnV) strategies for the robot platform, from the component level through the system level. The key goal will be to bring together the various verification initiatives that are already happening and ensure that verification occurs as far upstream as possible, that the right assets and test cases are in place, and that results are properly documented and communicated. You will have experience in complex vehicle systems, managing teams, and delivering results on a tight timeline. You will work with engineering leaders across hardware engineering, software, infrastructure, procurement, finance, and various suppliers to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress to the executive team.
In this role, you will:
Accommodations
A Final Note:
- Own the end-to-end Robot Platform verification and validation (VnV) strategy.
- Develop detailed plans, including identification of test assets, test resources, and test timing to deliver on-time VnV completion.
- Lead the mapping of all requirement and verification tasks, and in working with cross-functional teams, identify any gaps and plans to close them.
- Lead cross-functional teams in defining and scheduling all VnV work.
- Develop the process, templates, KPIs, and reports to measure VnV progress.
- Engineering degree with 10+ years of hands-on experience.
- Experience working in software and hardware development environments.
- Strong track record in managing complex, cross-functional projects.
- Excellent communication and organizational skills.
- Ability to keep the big picture in focus and provide clear, well-structured, and concise communications tailored to each appropriate audience.
- Vehicle system engineering experience is strongly preferred.
- Cloud software and firmware experience is preferred.
$205,000 - $245,000 a year
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.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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