Innoviz Technologies

System Qualification Engineer

Israel
Matlab R Python
Description

The Hardware Qualification team, as a part of the HW team (R&D branch), is leading the Qualification process at Innoviz, working together with all major car OEM’s and other customers. The Qualification process also includes interactions with all major teams at Innoviz.

We are looking for a talented and driven Qualification Test engineer capable of understanding complex systems to contribute to the qualification efforts for Innoviz’s cutting-edge products.

 Responsibilities: 

  • Coordinate and conduct hands-on functional and reliability testing of complete systems and individual components.
  • Collect, analyze, and interpret test data using data acquisition systems and software tools such as Python and Matlab.
  • Based on collected data and information, determine if specifications, regulations, customers’ expectations, and acceptance criteria are satisfied – According to automotive standards
  • Prepare and deliver detailed technical reports, presenting test results and conclusions to internal and external stakeholders.
  • Perform Failure Analysis investigations, diagnose failed components and find the root cause for the failure
  • Develop and improve existing Python tools and scripts to automate the work.


*** The employment is via a third-party company

  • B.Sc in Mechanics/System Engineering or Experienced Practical Engineer
  • At least 5 years of experience in product validation, system engineering or similar
  • Experience in operating lab equipment
  • Experience in writing test plans and reports, design of experiment.
  • Writing Python scripts
  • Failure Analysis experience – Advantage
  • Proven experience with analyzing collected data using Python scripts / MATLAB– Advantage
  • Proven experience with validation/verification testing of Electro-Optical systems – Advantage
  • Great team player, highly motivated.
  • Proficiency in English, both written and spoken.


Innoviz Technologies
Innoviz Technologies
Automotive Autonomous Vehicles Manufacturing Sensor Software

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