Staff Engineer, Robotics Perception (m/f/d)

ARX Robotics; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive compensation package including a bonus opportunity

27 vacation days, increasing with tenure

Employer-supported pension contribution

Learning & development support

Flexible benefits budget

Zusammenfassung

ARX Robotics, located in Munich, is looking for a Staff Engineer – Robotics Perception to help advance unmanned ground vehicles' perception capabilities. You will play a crucial role in developing algorithms for object detection and environmental interpretation, working closely with cross-functional teams.

The ideal candidate holds an advanced degree in a relevant field and is proficient in Python and C++. The role offers a competitive compensation package, flexible work environment, and a commitment to employee growth.

Qualifikationen

• Strong proficiency in Python and C++ for robotics and ML system development.
• Solid understanding of perception fundamentals including object detection and segmentation.
• Experience developing and deploying machine learning‑based perception systems in real‑world applications.

Aufgaben

• Design and implement perception algorithms for object detection and terrain classification.
• Fuse and process sensor data from LiDAR, cameras, radar, and IMU.
• Test and validate perception systems in simulation and real‑world environments.

Kenntnisse

Python

C++

Machine Learning

Computer Vision

Robotics

Deep Learning

OpenCV

ROS2

Ausbildung

Advanced degree (MSc or higher) in Robotics, Computer Vision or related field

Tools

PyTorch

TensorRT

PCL

Open3D

Jobbeschreibung

About The Role

At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles. As a Staff Engineer – Robotics Perception, you will develop the systems that enable robots to interpret complex outdoor environments and make safe, reliable decisions in real time. You will work closely with autonomy, navigation, hardware, and software teams to integrate perception capabilities into a unified robotics platform. Your work will directly influence how autonomous and teleoperated systems operate in challenging, unstructured environments under real‑world constraints.

What You’ll Build

• Design and implement perception algorithms for object detection, terrain classification, obstacle detection, and scene understanding in off‑road environments
• Fuse and process sensor data from LiDAR, cameras, radar, IMU, and GNSS for robust environmental interpretation and free‑space understanding
• Develop ML and deep learning‑based models to improve perception performance in dynamic outdoor conditions
• Optimize real‑time perception pipelines for embedded systems under strict size, weight, and power constraints
• Test and validate perception systems in simulation and real‑world environments, including harsh conditions such as mud, dust, and rain
• Integrate perception outputs into navigation and path planning systems for safe autonomous traversal
• Support system‑level calibration, synchronization, and sensor alignment in collaboration with hardware and systems teams
• Continuously improve robustness and reliability through field testing and data‑driven iteration
• Work across teams to ensure perception systems are deployable, scalable, and production‑ready

What You Bring

• Advanced degree (MSc or higher) in Robotics, Computer Vision, Machine Learning, or a related engineering field
• Strong proficiency in Python and C++ for robotics and ML system development
• Solid understanding of perception fundamentals including object detection, segmentation, terrain understanding, and obstacle detection in unstructured environments
• Experience developing and deploying machine learning‑based perception systems in real‑world robotics applications
• Hands‑on experience with frameworks such as PyTorch and TensorRT
• Proficiency with OpenCV, PCL, or Open3D for perception and 3D data processing
• Experience working with ROS2, simulation environments, and robotics validation workflows
• Strong Linux development skills with experience in CI/CD and modern software engineering practices
• A structured, self‑driven, and proactive approach to solving complex perception challenges
• Experience with Rust or CUDA and edge computing platforms are a plus

Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.

What We Offer

• Competitive compensation package including a bonus opportunity
• 27 vacation days to start, increasing with tenure up to 30 days
• Employer‑supported pension contribution
• Learning & development support and team events budget
• Employee discounts and flexible benefits budget via Probonio
• Hybrid working setup depending on role and team needs
• Structured salary bands, levelling framework, and bi‑annual development conversations
• Referral bonus program, dog‑friendly office, and relocation support where applicable

About Us

ARX is a dual‑use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual‑use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life‑or‑death situations. As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem‑solving strategies are ingrained in our work culture.

If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual‑use technology!

ARX is an equal‑opportunity employer, and we encourage candidates from all backgrounds to apply.

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