Description

Innoviz Technologies is at the forefront of innovation, pioneering advanced LiDAR technology that shapes the future of autonomous vehicles. Our cutting-edge LiDAR systems, trusted by industry leaders like BMW and Volkswagen, are redefining what's possible in automotive technology.

About the ATE Group: The ATE Group at Innoviz leads the development of complex, multidisciplinary (software, hardware, optics, mechanics) capital equipment machines. These machines are designed for the characterization, calibration, and production of our advanced LiDAR technology. Within this group, the Software Development Team is responsible for creating and maintaining the software that operates these systems, including calibration algorithms, automation software, user interfaces, and more.

We are looking for a junior software engineer to support and enhance the activities of the team.

Key Responsibilities:

• Design & Development: Create calibration and characterization software for Innoviz’s next-generation LiDAR systems.
• Cross-Disciplinary Interaction: Collaborate with multi-disciplinary teams to ensure seamless integration and functionality.
• Algorithm Development: Develop, upgrade, and maintain algorithms and software processes critical to LiDAR performance.
• Mass Production: Develop software infrastructures to support mass production platforms.
• Problem Solving: Analyze failures, define improvements, and implement solutions to enhance system reliability.
• Quality Improvement: Continuously improve the code quality within the team.
• Documentation: Write comprehensive software documentation in line with automotive industry requirements.
  
  

• B.Sc. degree in Computer Science, Electrical Engineering, Mechanical Engineering or equivalent from a leading university
• 1 to 3 years of experience developing large-scale Python software – must
• Experience in developing software to control hardware components - advantage
• Experience with CI/CD processes, source control (Git)
• Excellent communication and teamwork skills