Software Infrastructure Engineer for Computer Vision team

Here at the CV team at Innoviz, we develop state-of-the-art Computer Vision algorithms that address the various perception tasks required for autonomous vehicles.

Innoviz is a leading manufacturer of high-performance, solid-state LiDAR sensors and perception software that enable the mass production of autonomous vehicles. Innoviz recently announced it will be listed on NASDAQ through a business combination with Collective Growth Company.

About The Position

Here at the CV team at Innoviz, we develop state-of-the-art Computer Vision algorithms that address the various perception tasks required for autonomous vehicles. We implement, evaluate and improve upon cutting-edge research, using a mix of classical and machine-learning methods that work in the point-cloud domain, while working on our sensor’s unique, proprietary data.

These days, the team is expanding and looking for top-notch Software Infrastructure Engineer to join our team.

We are looking for an experienced professional with infrastructure software engineering and production experience building back-end services at high scale while ensuring high code quality. The position includes being responsible for software architecture that connects all the perception algorithms, algorithms runtime optimization, evaluation and visualization tools development, and large-scale data access optimization.

Requirements

· B.Sc. or M.Sc. degree in Electrical Engineering or Computer Science from a top university

· Experience with building SW infrastructure

· At least 4 years of proven software development experience

· Fluent in Python

· Knowledge in Storage Optimization

· Experience with Computer Vision algorithms at the API level

· Experience with parallel computing

· Experience with Linux operating systems

· Experience with ROS – Advantage

· Experience with javascript – Advantage