Perception Engineer

Software Engineering /
Part or Full Time /
Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots.  Our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of machines in a gamified environment—from anywhere in the world.  Our team has over a decade of academic experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a trillion dollar industry through active deployments with market leaders.

About the Job
Gravis machines are equipped with multiple sensor modalities (LiDAR, camera, etc.), which are used to understand and operate on the environment. You would improve that capability by developing and deploying new perception algorithms using cutting-edge learning-based methods (and conventional methods where applicable).


    • University degree in Computer Science, Computer Vision, Robotics, Electrical Engineering, or a related field
    • Proficiency with C++, Python, and Git
    • Extensive experience using deep neural networks with image and/or LiDAR data
    • Expertise with 3D geometry (e.g., SLAM) and 2D image processing
    • Exposure to open source data processing frameworks ( e.g. OpenCV, PCL, Open3D, etc.)
This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction.  Gravis Robotics offers a fair market salary and a working location in the vibrant heart of Zurich. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals:  If you are a highly qualified candidate with the requisite skills and experience, we encourage you to apply and discuss your preferred working arrangement during the interview process.

Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.

We are an international team that is working to solve problems with a global impact:  to facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.