Manufacturing Diagnostics Engineer
Updated on 9/27/2023

1,001-5,000 employees

Self driving car robotics company
Company Overview
Zoox is reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. The company is building the infrastructure for self-driving cars.
Fremont, CA, USA
Experience Level
Desired Skills
Computer Networking
Software Engineering
  • Bachelor's degree in a relevant area such as Computer Science or Electrical Engineering
  • Minimum 5 years of experience with automotive controller integration testing or test script development/programming in high-level languages
  • Experience in Python programming or similar high-level programming language
  • Experience with GitHub or similar tools for software management
  • Background in Linux and shell (bash) scripting
  • Strong experience with reading, troubleshooting, and injecting packets over various network protocols (CAN, LIN, Ethernet, Automotive Ethernet, I2C, SPI, etc.)
  • Fundamental understanding of mechanical systems, sensors, and actuators as well as ECU communication
  • Experience with integration and automation of manufacturing and test equipment
  • Design and implement future manufacturing lines involving the next-generation diagnostic architecture to support higher-volume production
  • Develop and implement a novel diagnostic system using programming, networking, and operating system knowledge to bring up/test vehicle Electronic Control Units (ECUs) firmware and Primary Control Units (PCUs) software during manufacturing processes
  • Build test plans and test coverage for vehicle production, incorporating vehicle behaviors, functionalities, and manufacturing cycle times
  • Validate vehicle behavior, triage issues, identify root causes, and lead resolutions (pertaining to software, tooling, deployment, harness, hardware, etc.) during vehicle manufacturing testing, bring-up, firmware updates, and calibration
  • Work closely with multidisciplinary engineers to collect and interpret the component and vehicle-level requirements and translate them into scalable system-level validation test scripts and test cases to be performed during the vehicle integration process
  • Develop and implement a system to manage End-of-Line (EOL) test equipment and perform diagnostics on the data collected by the EOL system
Desired Qualifications
  • Master's degree in a relevant area such as Computer Science or Electrical Engineering
  • Experience with network engineering, TCP/IP protocols, and communication over API
  • Experience with failure analysis methodologies like FMEA and fault trees
  • Ability to understand complex manufacturing processes and systems