Senior Robotics Perception Engineer – Multi-Object Tracking

autonomous-teaming · Munich (DEU)senior

En corto

▸Ingeniero senior de percepción robótica enfocado en seguimiento de múltiples objetos en entornos dinámicos sin GPS.
▸Diseño y despliegue de pipelines de rastreo robustos, fusión de sensores y calibración en plataformas reales con enfoque en producción.
▸Destaca el enfoque en soluciones reales, no prototipos, con alto impacto en operaciones del mundo real.

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¿Qué piden?

✓Experiencia comprobada en desarrollo de software de robótica de producción.
✓Dominio de C++ y Python.
✓Experiencia sólida con ROS/ROS2.
✓Fundamentos matemáticos sólidos en estimación, optimización y métodos probabilísticos.
✓Capacidad probada para liderar flujos técnicos complejos.
✓Inglés fluido.

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C++PythonROSROS2Kalman FiltersExtended Kalman FilterUnscented Kalman FilterGTSAMCeresOpenCV

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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 our technical expert for Multi-Object Tracking and state estimation, you will drive the evolution of our perception stack, from architecture and algorithm design to deployment on real robotic platforms. Working closely with autonomy, controls and middleware engineers, you will participate to technical decisions, establish best practices and continuously 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, not research prototypes. Your responsabilities : 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 We are looking for an experienced robotics engineer who combines deep technical expertise with the ability to drive an entire technical domain from concept to deployment. 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 . 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 .

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