Staff Navigation engineer (m/f/d)

About The Role

Your Mission

The Autonomy Team is seeking a Staff Navigation Engineer to help bring ARX Robotics robot autonomous capabilities the next level. This role involves developing and productizing innovative solutions that will transform the field manned and unmanned ground vehicles.

You will collaborate with talented and dedicated cross-functional engineering teams across various robotic sub-systems to integrate their work into a cohesive platform for operating autonomous and teleoperated systems in the field, ensuring compliance with all relevant standards and guidelines.

The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

Key Responsibilities

• Design and implement global and local path planning algorithms for autonomous navigation in unstructured, off-road environments, ensuring safe and efficient traversal over rough terrain.
• Integrate perception and terrain data into cost maps or occupancy grids to enable obstacle-aware and terrain-adaptive path planning.
• Build and validate navigation systems in simulation ensuring reliable performance before field deployment.
• Tune and test algorithms in real-world conditions, analyzing field data to improve robustness, smoothness, and safety of planned trajectories.
• Lead development of behavior trees or state machines for high-level mission execution, including recovery behaviors and terrain-specific navigation modes.
• Stay current with advancements in sensor technologies, AI, robotics, and industry standards to drive innovation and maintain technical leadership.

Your Profile

• MS or higher in Robotics, Computer Vision, or related engineering fields
• Strong software development skills in C++
• Experience with ROS2, navigation stacks, and real-time embedded systems
• Proficient debugging skills for complex robotics systems
• Solid understanding of state estimation, 3D geometry, and probabilistic robotics
• Proven track record of deploying navigation systems on real-world robotic platforms
• Proficiency with Linux systems, version control, CI/CD, and software engineering best practices in a robotics context
• Self-motivated, organized, and proactive work style

Nice-to-have:

• Proficiency in Python, Rust or CUDA programming
• Knowledge of real-time embedded systems and optimization for edge computing platforms (e.g., NVIDIA Jetson, FPGA)
• Experience in applying data-driven techniques (e.g., reinforcement learning, imitation learning) learn navigation policies
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT)

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.