Innoviz Technologies Tech Stack
LiDAR perception systems for autonomous vehicles and industrial sensing
Innoviz manufactures LiDAR sensors and perception software for autonomous driving systems, with designs selected by premium automotive OEMs for production vehicles. The tech stack reveals hardware-first engineering: C++, MATLAB, and automotive protocols (AUTOSAR, FlexRay, SOME/IP) dominate, paired with containerized CI/CD (Docker, Kubernetes, Jenkins). Active hiring leans heavily engineering (8 of 15 roles), concentrated in mid-to-senior levels, while the project backlog reflects a company scaling production—calibration automation, field validation, NPI warehouse buildout, and supply-chain optimization suggest the transition from development to high-volume manufacturing.
Tech Stack 35 technologies
What Innoviz Technologies Is Building
◆Challenges
- Sales process coordination across geographies
- Optimizing production and system testing processes
- Tight timelines
- Technical product integration challenges
- Troubleshooting hardware and software issues
- Optimizing logistics costs
- Ensuring compliance with global trade regulations
- Controlling delivery timelines
- Expanding into non-automotive markets
- High-volume production testing
▲Active Projects
- Production and system testing process optimization
- Customer-facing product demonstration activities
- Field tests to track lidar range performance
- Data parsing tools for field datasets
- Npi warehouse
- World wide invz material management
- Hw development stream of innoviz’s products
- Hw validation and failure analysis
- Next generation automated test and calibration systems for innoviz lidar
- Calibration and automated testing of critical lidar features