Senior Robotics & Machine Learning Engineer - Fernride GmbH
Our Take
Design next-generation autonomous ground systems and perception modules at Quantum-Systems.
What you’ll do
- Develop perception modules
- Build and integrate autonomy stack
- Design multi-sensor fusion
- Implement real-time software pipelines
- Validate autonomy functions
- Collaborate with mission-control teams
What they’re looking for
- Strong C++ and Rust proficiency
- Experience deploying ML in robotics
- Embedded systems and robotics software expertise
- Multi-sensor fusion implementation experience
- Ability to guide AI-assisted tools
- Clean code and CI/CD standards
Skills & Focus Areas
- C++
- Rust
- Python
- LiDAR
- Radar
- CI/CD
As posted by Quantum-Systems
As a Senior Robotics & Machine Learning Engineer, you will shape the next generation of autonomous ground systems. You will design and implement core components of our end‑to‑end autonomy stack — from perception and prediction to path planning and vehicle control. Your work enables reliable operation of unmanned ground vehicles (UGVs) in challenging environments, including GNSS‑denied areas, off‑road terrain, and multi‑vehicle convoying.
You will collaborate closely with experts across software, hardware, and mission systems to integrate the right sensors, algorithms, and architectures into robust field‑ready platforms. Your contributions directly support Quantum‑Systems’ mission to set the benchmark for multi‑domain autonomous systems.
What is your Day to Day Mission:
Develop perception modules (object detection, tracking, pose estimation) for precise autonomous vehicle behavior.
Build and integrate the full autonomy stack: perception, prediction, planning, and control for diverse ground platforms.
Design multi‑sensor fusion setups (camera, LiDAR, radar) for resilient operation in all environments.
Implement high‑performance software pipelines for real‑time sensor processing.
Validate autonomy functions using real‑world data and advanced simulation.
Collaborate with mission‑control teams (e.g., MOSAIC) and vehicle platform teams to ensure seamless integration.