Staff Npi Test Engineer

Aurora Innovation Aurora Innovation · Robotics · Mountain View, CA · Hardware

This role supports manufacturing test and automation for self-driving hardware, focusing on debugging software tools, optimizing test procedures, managing data for performance metrics, and providing technical support. Requires strong Python programming, Linux experience, and analytical skills.

What you'd actually do

  1. Support and debug software tools used in manufacturing tests and provisioning.
  2. Closely collaborate with manufacturing and engineering teams to harden and optimize automated manufacturing test procedures.
  3. Data management and analysis to track production test performance metrics, prioritize top issues, and drive continuous improvement activities with cross-functional teams.
  4. Provides technical test support to all local manufacturing areas, locations, and customers as needed.

Skills

Required

  • B.S. in Computer Science, Electrical Engineering, Mechanical Engineering, a related field, or equivalent combination of education and experience.
  • Experience in data collection with electronic test equipment and data-acquisition systems.
  • Prior verification, validation, and testing experience with emphasis on debugging skills.
  • Excellent written and verbal communication of test status and results, including writing formal test reports/records.
  • Experience in manufacturing test development and sustaining efforts at scale
  • Ability to read design drawings/wiring schematics.
  • Excellent analytical abilities, technical writing ability, and a comprehensive understanding of problem-solving.
  • Experience programming in Python is required.
  • Experience with Linux operating systems.
  • Experience with Google Suite, JIRA, JAMA, and GIT.
  • Ability to work in a fast-paced team environment.
  • International travel to CM for on-site bring-up and support.

Nice to have

  • M.S. in Electrical Engineering, Computer Science, Mechanical Engineering (with mechatronics experience), a related field, or equivalent combination of education and experience.
  • Experience with data aggregation.
  • Familiarity with FMCW LiDAR and/or RF transceivers.
  • Experience with optical system prototyping and characterization.
  • Experience in modern automotive electronics and diagnostic procedures.

What the JD emphasized

  • programming in Python is required