Senior Computer Vision ML Engineer - Object Detection + Semantic Segmentation
Gravis Robotics AG
Location
Switzerland
Vacancy for
Human
Employment type
Full-time
Necessary education
Higher
Employer provided salary
0€ per year
Posted at 17.10.2025
Description
Requirements
- Master’s or PhD in Computer Science, Mechanical Engineering, Electrical Engineering or a related field.
- Experience with setting up and maintaining machine learning pipelines, from data collection to model deployment
- Experience in developing and implementing robust perception / computer vision algorithms.
- Experience in writing production-quality C++/Python code in a Linux development environment.
- Extensive experience with deep learning frameworks (pytorch, tensorflow, etc) using image, LiDAR, and/or radar data.
- Proficiency with common robotics & perception frameworks ( e.g. OpenCV, PCL, Open3D, ROS 2, Nvidia HW/SW ecosystem, etc.)
- Excellent project management skills with the ability to prioritize tasks, manage resources, and meet deadlines.
- Excellent communication skills with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Needed key skills
- Algorithms
- Analytical Skills
- Artificial Intelligence (AI)
- C/C++
- Critical Thinking
- Data Analytics
- Debugging
- Decision Making
- Modeling
- Project management
- Python
- Research skills
- Testing
Bonuses
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 city 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.
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