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Autonomous Teaming

Senior Robotics Engineer – Multi-Object Tracking (m/f/d)

Munich (DEU)Germany
Senior · full-time, permanent · SKYDEFENDER
POSTED 26 OCTVERIFIED 1D AGO
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Role
13 days opentrue age
Posted 26 Oct
Pay
€85k–€105kno pay posted
Market p25–p75
€85k–€105k
Munich · n=5 · 365d to 6 Nov
CompanyAutonomous Teaming →
15open roles
Opened · 30d
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Closed · 30d
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6d of snapshots · 30d window
Market
17,056open · Senior Software engineering
All software engineering
74,990open
All tracked boards · live 8 Nov · n=17,056
PythonC++Docker

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

Join our robotics team to develop next-generation perception and multi-object tracking systems capable of operating reliably in complex, dynamic, GPS-denied environments.

As a senior engineer specialising in Multi-Object Tracking and state estimation, you will contribute to the evolution of our perception stack, from algorithm design and architectural improvements to deployment on real robotic platforms. Working closely with perception, autonomy, controls and middleware engineers, you will take ownership of complex technical workstreams, contribute to technical decisions and improve the robustness and performance of our perception capabilities.

This is a highly hands-on robotics position focused on delivering production-ready software that performs reliably in the field.

Your responsabilities

  • Contribute to technical decisions and architectural improvements across our Multi-Object Tracking and perception systems.
  • Design, develop and optimize robust multi-object tracking pipelines for dynamic environments.
  • Design and implement scalable components for state estimation and multi-sensor fusion systems.
  • Develop probabilistic estimation and optimization algorithms for real-world robotics applications.
  • Develop and improve 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 closely with autonomy, controls and middleware teams to ensure reliable end-to-end system integration.
  • Share expertise and support teammates through technical discussions, design 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.
  • Investigate and resolve tracking and perception issues during field testing, analyze failures and improve system robustness.

Your profile

Must-have

  • Strong C++ and Python development skills.
  • Extensive experience with ROS/ROS2.
  • Strong practical experience developing multi-object tracking algorithms, including data association, track management and probabilistic state estimation.
  • Strong background in robotics perception, computer vision and state estimation.
  • Proven experience developing and deploying production-grade robotics software.
  • Strong 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 contribute to technical decisions and collaborate across multidisciplinary teams.
  • Fluent English.

Strong advantages

  • Multi-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, particularly NVIDIA 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

Source · Autonomous TeamingFirst seen 4 NovOriginal ↗