System Integration Engineer- Lidar Platform Group

Description

Innoviz Technologies is a global leader in LiDAR technology. Beyond automotive, Innoviz provides off-the-shelf LiDAR solutions for defense and homeland security, intelligent traffic management, mobility, robotics, and aerial applications.

The Lidar platform group is responsible for developing high-performance, multidisciplinary LiDAR platforms.

We are looking for a System Integration Engineer to join our great team! Our work spans optical, mechanical, electronic, and software domains, from concept through production. We collaborate closely with product, R&D, and manufacturing teams to ensure robust, scalable, and manufacturable solutions.

Responsibilities

• Lead and participate in system integration activities across hardware and software domains.

• Define and execute integration test plans and validation procedures.

• Develop and maintain automated test frameworks and infrastructure.

• Work on wireless power transfer systems integration and validation.

• Integrate and validate high-speed wireless optical communication links (1 Gbps Ethernet).

• Develop and integrate motion control systems as part of the LiDAR platform.

• Identify, debug, and resolve cross-disciplinary integration issues.

• Collaborate with multi-disciplinary R&D teams to ensure seamless system-level performance.

Requirements

• B.Sc. in Electrical Engineering, M.Sc. an advantage.

• At least 3 years of experience in electrical engineering and system integration roles.

• Experience with hardware-software integration and bring-up of complex electronic systems.

• Hands-on experience with electronic lab equipment (oscilloscopes, logic analyzers, signal generators).

• Familiarity with communication protocols (SPI, I2C, UART, CAN, Ethernet) and embedded systems.

• Experience developing and working with automated test systems and frameworks.

• Proficiency in MATLAB and Python for data analysis, scripting, and test automation.

• Experience in design and analysis of multi-disciplinary systems.

• Independent and self-managed.

• Strong analytic and communication skills, teamwork, flexibility, and ability to work well in a dynamic, multi-disciplinary environment.

• Experience with LiDAR, radar, or other sensing systems – an advantage.