Senior Technical Program Manager, Manufacturing Test and Diagnostics

Number of employees

2600

San Carlos, CA, United States

Posted on: 2025-02-06

Category: emobility

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Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

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.


Zoox is looking for a Senior Technical Program Manager to support our manufacturing test development efforts. In this role, you will work cross-functionally across manufacturing, engineering, and contract manufacturers to help us deliver our milestones. You will take on the role of a bridge between test development and engineering to develop project schedules, identify risks, and drive internal and external teams to meet deliverables. 

The Test and Diagnostics Engineering (TDE) team is responsible for test solutions from “chip” to “car” and our product responsibilities range from the sensor stack, control boards, and compute units to the autonomous platform. The team is located in San Carlos and Fremont with a mix of responsibilities spread across both of these sites. In addition to test development, the team also delivers the infrastructure such as APIs, dashboards, and platform solutions all of which come together as test solutions.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $179,000 to $259,000. A sign-on bonus may be offered as part of the compensation package. 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.

In this role, you will:

  • Work with the cross-functional leadership teams to define team deliverables aligned with our company milestones and strategy
  • Provide a framework for the internal teams across TDE to clearly communicate timelines and deliverables distilling the top-down targets into tasks
  • Ensure test solutions (software, hardware, documentation) are delivered on time and meet program goals, and establish KPIs
  • Highlight risks, clearly communicate to stakeholders, and continuously evaluate schedule impactEstablish strong relationships with cross-functional teams to keep complex projects on track
  • Use tools and methodologies from past experience to organize the deliverables across multiple internal teams
  • Work with finance and senior leadership to draft and drive aspects such as resource allocation, headcount, and budget
  • Qualifications:

  • BS or MS in engineering (electrical/electronics, computer hardware, software, or related fields)
  • 8+ years of industry experience in a similar role spanning engineering or project management
  • Strong knowledge of manufacturing and testing electronic assemblies
  • Excellent communication skills across diverse audiences (senior management, engineers) using written and verbal methods as appropriate
  • Experience in working with contract manufacturers or automotive suppliers
  • Bonus Qualifications

  • Track record of managing complex projects at an electronics or AV company
  • Deep technical understanding of electronic assemblies (hardware, firmware, and related software) and/or automotive components
  • Proficiency in the tools of the trade - Google Suite, data analysis, Gantt charts, Jira
  • Familiarity with programming with Python, SQL, and data analysis
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