Senior Robotics Perception Engineer – Multi-Object Tracking

What we offer

• Work in an international, agile team creating the future of autonomous systems
• Grow your career in a expanding and ambitious engineering team
• Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
• Benefit from a steep learning curve and continuous development
• Enjoy team events and a strong, collaborative culture

Your mission

• 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 new algorithms, tools and technologies to continuously improve tracking performance and robustness.
• Work closely with autonomy, controls and middleware teams to ensure seamless end-to-end system integration.
• Mentor and support other 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 continuously improve system robustness.

Your profile

Must-have

• 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

Strong advantages

• Multi-Object Tracking
• Sensor Fusion
• Visual SLAM
• Visual-Inertial Odometry
• Kalman, Extended Kalman or Unscented Kalman Filters
• GTSAM, Ceres or similar optimization frameworks
• Camera geometry and multi-camera systems
• OpenCV
• Embedded GPU deployment (Jetson)
• CUDA / TensorRT
• Docker and CI/CD
• Linux

Nice to have

• PhD in Robotics, Computer Vision, State Estimation or a related field.
• Experience with autonomous or defense systems.
• Experience with synthetic data generation.
• Experience with distributed robotic systems.
• Experience deploying perception algorithms in challenging outdoor environments.

What else

• Builder mentality: you ship working solutions, not theoretical concepts
• Hands-on ownership: you proactively solve problems, even outside your direct scope
• Field-driven mindset: you care about what survives real operations, not “lab perfect”
• High quality bar: you aim for reliability, determinism, and clarity in your engineering
• Startup drive: you execute fast despite ambiguity, and adapt quickly
• Mission alignment: genuine motivation to work on defense-relevant, safety-critical robotics
• Nationality of a NATO member nation or close ally is required