Senior Python Software Engineer - Industrial Systems

Description

Innoviz is a leading provider of high-performance LiDAR sensors and perception software that enable safe autonomous driving on scale. We are looking for a Senior Software Engineer to join our software development team, focusing primarily on Lidar calibration software and production line automation. This is a hands-on role where you'll work directly with cutting-edge hardware, develop calibration procedures for the lidar, and contribute to the architecture of mission-critical software systems.

Responsibilities

• Calibration software development: Design, implement, and maintain calibration. procedures working closely with System Engineers.
• Production line automation: Develop software solutions to automate manufacturing and testing processes.
• Software quality improvement: Enhance code quality, testing frameworks, and development practices across the team.
• Architecture & design: Contribute to high-level software architecture decisions and system design.
• Cross-functional collaboration: Work closely with hardware, optics, and systems engineering teams.
• Team support: Provide backup and knowledge sharing across different calibration procedures and systems.
  
  

• 5+ years of professional software development experience.
• Strong proficiency in Python.
• Bachelor’s degree in computer science, Engineering, Physics, or related field.
• Hands-on hardware experience: Proven track record working with lab equipment and hardware interfaces.
• End-to-end project ownership: Demonstrated ability to take projects from concept to completion independently.
• Adaptability: Strong track record of quickly learning new technologies, tools, and processes.
• Fast-paced environment experience: Thrives in rapid development cycles with changing requirements and tight deadlines.
• Willingness to work primarily from office location (Rosh Ha'Ayin).
  
  

• Lidar or optical sensor experience: Background with sensor calibration, characterization, or testing.
• Physics/optics knowledge: Understanding of optical principles, sensor physics, or photonics.
• Mechanical engineering background: Experience in bridging software and hardware systems.
• Production environment experience: Background in manufacturing, quality assurance, or automated testing.