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Staff Manufacturing Diagnostics Engineer

Staff Manufacturing Diagnostics Engineer

ZooxHayward, CA, US
12 days ago
Job type
  • Permanent
Job description

Job Description

Job Description

As a Staff Manufacturing Diagnostics Engineer on the Test & Diagnostics Engineering team, you will play a critical role in driving the troubleshooting and debug efforts to ensure we meet our aggressive scaling plans. In this role, you will provide leadership on the line and build a team of engineers to triage, respond to, and resolve vehicle / system issues across multiple manufacturing lines. Being able to advocate and implement new test coverage, diagnostic tooling, and infrastructure is essential for this role.

In this role, you will :

  • Lead the troubleshooting and debug efforts on the main robotaxi assembly line and other manufacturing locations. You will triage issues spanning vehicle software, harnesses, networking and communication (CAN, LIN, automotive Ethernet), hardware, and infrastructure.
  • Troubleshoot, contain, fix, and escalate (as needed) electrical and software issues pertaining to the various systems such as vehicle powertrain, suspension, thermal, lighting, telematics, compute units, sensors, cybersecurity, autonomy, etc.
  • Design and develop new test sequences and test coverage for new vehicle programs and manufacturing lines, advocating for broad Zoox vehicle program changes as well as next-generation infrastructure, tools, and facility upgrades.
  • Manage, support, and mentor a team of junior engineers responsible for troubleshooting issues on all assembly lines, proposing and implementing permanent corrective actions

Qualifications

  • Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science.
  • 12+ years of work experience in Electronic Control Unit (ECU) software integration testing and test development
  • Extremely strong troubleshooting and debugging skills, coupled with an understanding / knowledge / experience with reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet
  • Very proficient in interacting with Linux systems over the command line / terminal, including developing and troubleshooting shell (bash) scripts
  • Experience with programming in Python or a similar programming language
  • Experience with git, GitHub, and related tools for software management
  • Bonus Qualifications

  • Master’s degree in a relevant area such as Computer Science or Engineering
  • Experience with the integration and automation of manufacturing and test equipment
  • Expertise in working with database / web systems - performing basic queries and using web APIs to access test data.
  • Knowledge of the Linux networking stack, including concepts such as VLANs, ethernet port mapping, etc.
  • Some exposure to security aspects (802.1x) and cybersecurity approaches to automotive communication is a definite plus.
  • Knowledge of automotive “end-of-line” tests, such as alignment, dyno testing, or other related tests
  • 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. 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.

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    Manufacturing Engineer • Hayward, CA, US

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