Senior Robotics Perception Engineer Multi-Object Tracking

Salary: 40.000 - 80.000 per year

Requirements:

• Strong C++ and Python development skills
• Extensive experience with ROS/ROS2
• Strong background in robotics perception, computer vision, and state estimation
• Proven experience developing and deploying production-grade robotics software
• Excellent mathematical foundations in estimation, optimization, and probabilistic methods
• Proven ability to independently drive complex technical workstreams
• Experience deploying and debugging software on real robotic platforms
• Ability to influence technical decisions and collaborate across multidisciplinary teams
• Fluent English
• Advantages include experience with Multi-Object Tracking, sensor fusion, Visual SLAM, Visual-Inertial Odometry, Kalman filters, GTSAM, Ceres or similar optimization frameworks, camera geometry and multi-camera systems, OpenCV, embedded GPU deployment (Jetson), CUDA/TensorRT, Docker, CI/CD, and Linux
• Nice to have: PhD in Robotics, Computer Vision, State Estimation, or a related field; experience with autonomous or defense systems, synthetic data generation, distributed robotic systems, or deploying perception algorithms in challenging outdoor environments
• Builder mentality: ships working solutions rather than theoretical concepts
• Hands-on ownership and a proactive approach to solving problems beyond direct scope
• Field-driven mindset focused on performance in real operations
• High engineering quality bar, with a focus on reliability, determinism, and clarity
• Startup drive and ability to execute quickly despite ambiguity and adapt
• Genuine motivation to work on defense-relevant, safety-critical robotics
• Nationality of a NATO member nation or close ally is required

Responsibilities:

• Drive the technical direction of our Multi-Object Tracking and perception capabilities
• Design, develop, and optimize robust multi-object tracking pipelines for dynamic environments
• Define scalable architectures for state estimation and multi-sensor fusion systems
• Develop probabilistic estimation and optimization algorithms for real-world robotics applications
• Own the development of intrinsic and extrinsic calibration pipelines for complex sensor configurations, including zooming camera systems
• Evaluate and introduce algorithms, tools, and technologies to improve tracking performance and robustness
• Work with autonomy, controls, and middleware teams to integrate systems end to end
• Mentor and support engineers through technical discussions, architecture reviews, and code reviews
• Develop and validate perception algorithms in simulation before deployment on embedded robotic platforms
• Optimize algorithms for real-time execution on embedded GPU platforms
• Lead debugging and validation during field testing, analyze failures, and improve system robustness

Technologies:

• AI
• CI/CD
• Computer Vision
• CUDA
• Docker
• Embedded
• Support
• Linux
• Python
• ROS
• Robotics
• Sensor Fusion
• opencv
• C++
• Security

More:

We are Autonomous Teaming, a defence-tech start-up specializing in machine vision solutions. We build nimble, scalable, cost-effective defence technologies, including systems that enable computers and sensors to work as coordinated teams in real time against AI-powered asymmetric threats such as drone swarms and other UXVs. In this hands-on robotics role, you will help develop production-ready perception and multi-object tracking systems for complex, dynamic, GPS-denied environments, working with our robotics team on real robotic platforms rather than research prototypes. We offer an international, agile team, opportunities for career growth and continuous development, work with state-of-the-art AI, robotics, and autonomy technologies, a steep learning curve, team events, and a collaborative culture. We value close, in-person collaboration while maintaining flexibility aligned with role and team needs, and foster ownership, responsibility, and trust. We are based in Munich, Berlin, and Toulouse and are expanding across Europe.

last updated 40 week of 2026