Robotics Software Engineer
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026.
Robotics Software Engineer
Level: Medior / Senior
Location: Delft, Netherlands
Type: Full-time, on-site, with the option to work from home one day per week
About Perciv AI
Perciv AI develops advanced AI-driven perception solutions leveraging radar technology for Autonomous Mobile Robots (AMR) and automotive applications. We bridge the gap between AI algorithms and real-time embedded deployment to build robust, long-lasting robotics software.
Role Overview
We are looking for a Robotics Software Engineer to join our team. In this role, you will design, develop, and maintain high-performance software and architecture for radar-based perception, sensor processing, and machine learning models in real-world robotics applications.
Key Responsibilities
Design, implement, and maintain clean, reliable, and efficient software for robotics and perception systems.
Develop production-grade software in C++ and Python, connecting AI algorithms with embedded real-time execution.
Integrate robotics frameworks, machine learning pipelines, and containerized deployment environments (ROS2, PyTorch, Docker, Linux).
Collaborate with cross-functional engineering teams to maintain high software engineering standards, robust interfaces, and maintainable codebase.
Contribute to system design decisions and algorithm integration for autonomous systems.
Key Requirements
Bachelor’s or Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or related field.
Experience: Minimum 1 year of professional software engineering experience in an industry or commercial setting (Medior or Senior level).
Programming Languages: Minimum 2 years of hands-on experience with both C++ and Python.
Technical Stack: Experience with ROS2, PyTorch (torch), Docker, and Linux environments.
Architecture Focus: Strong interest in software design, clean interfaces, and system architecture.
Clearance: Must hold a valid EU/NATO passport.
Nice to Have
Experience with embedded systems
Experience deploying deep learning models or perception algorithms onto real-time embedded targets.
Experience with CUDA programming and GPU acceleration techniques.
Familiarity with radar, LiDAR, or camera perception systems.
Soft Skills
Strong analytical and problem-solving abilities
Clear communication and strong collaboration skills
Proactive mindset and comfortable working in a dynamic startup environment
What We Offer
Opportunity to work on cutting-edge radar perception technology in the AMR and automotive space.
See your work deployed in real-world aerospace, defense, and industrial platforms
Flexible working environment and a competitive compensation package