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