ATE System Engineer

Reposted 2 Days Ago
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Hiring Remotely in Israel
Remote
Mid level
Appliances • Manufacturing
A leading supplier of high-performance, automotive-grade LiDAR sensor platforms.
The Role
Responsible for calibration and testing of LiDAR features, collaborating with R&D, and developing automated test scripts for ATE systems.
Summary Generated by Built In
Description

Innoviz Technologies is a world-leading LiDAR technology company. Our systems combine cutting-edge optics, electronics, and algorithms to deliver high-performance perception solutions for the automotive industry.

The ATE (Advanced Test Equipment) Group develops complex multidisciplinary capital equipment used for calibration, performance validation, and high-volume production testing of Innoviz LiDAR systems. These machines integrate software, hardware, optics, and mechanics to ensure product quality and manufacturing scalability.

We are looking for a talented ATE System Engineer. In this role you will play a key role in shaping and operating these advanced platforms, working closely with the other R&D teams to develop, integrate, and optimize the next generation of automated test and calibration systems for Innoviz LiDARs.

What you'll do

  • Take end-to-end responsibility for calibration and automated testing of critical LiDAR features, including development, validation, and troubleshooting.
  • Serve as a focal point for other R&D groups in your domain of expertise.
  • Develop, implement, and validate calibration and test scripts using Python.
  • Support the design and development of next-generation ATE systems for high-volume LiDAR production.
Requirements
  • B.Sc. in an exact science or engineering discipline (Physics, Electrical Engineering, Mechanical Engineering, or similar) from a leading university; M.Sc. is an advantage.
  • At least 4 years of experience as a system engineer working with multidisciplinary systems (optics, electronics, software, and algorithms).
  • Proficiency in Python and MATLAB.
  • Hands-on experience with system integration and debugging.
  • Experience in computer vision – advantage.
  • Experience in electro-optics and sensors – advantage.
  •  Strong sense of ownership and responsibility, with the ability to drive tasks end-to-end.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Hands-on mindset with the ability to work independently and take initiative.
  • Fast learner who can quickly gain a deep understanding of complex systems.
  • Team-oriented, proactive, and able to work in a dynamic and fast-paced environment.

Interested in being part of the future of autonomous driving? Apply now.

Innoviz Technologies is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Skills Required

  • B.Sc. in an exact science or engineering discipline
  • 4 years of experience as a system engineer
  • Proficiency in Python and MATLAB
  • Hands-on experience with system integration and debugging
  • Experience in computer vision
  • Experience in electro-optics and sensors
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The Company
HQ: Santa Clara, California
466 Employees
Year Founded: 2016

What We Do

Innoviz is a leading provider of LiDAR technology, serving as a Tier 1 supplier to the world's leading automotive manufacturers and working towards a future with safe autonomous vehicles on the world's roads. Innoviz's LiDAR and perception software "see" better than a human driver and reduce the possibility of error, meeting the automotive industry's strictest expectations for performance and safety. Innoviz's LiDAR sensors are designed to deliver exceptional range, resolution, and reliability, providing accurate 3D sensing in harsh weather conditions. Operating across the U.S., Europe, and Asia, Innoviz designs solutions for automotive OEMs, system integrators, municipalities, commercial enterprises, and other use cases worldwide. InnovizSMART is an off-the-shelf solution for security, intelligent traffic management, mobility, robotics, and aerial applications.

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