Senior Robotics Engineer M F D

Role Summary

This position focuses on advancing navigation and control capabilities for autonomous robotic systems. The role involves designing and delivering high-performance motion planning and control solutions that enable reliable operation in complex, real-world environments. It requires end-to-end ownership of key functionalities, from concept development through implementation and real-world validation, along with supporting knowledge growth within the engineering function.

Primary Responsibilities

• Develop and enhance navigation algorithms to enable efficient path planning, accurate trajectory generation, and stable motion control in dynamic environments
• Lead the design and delivery of critical navigation components, ensuring they perform reliably under real-time constraints
• Build optimized, production-ready software in C++ with strong emphasis on maintainability, performance, and system safety
• Drive integration of navigation capabilities with other system layers to ensure smooth data flow and consistent behavior
• Create and execute validation strategies, including simulation-based testing and real-world trials, to verify robustness and performance
• Design, implement, and fine-tune control strategies (e.g., PID, MPC, pursuit-based methods, and advanced nonlinear controllers) for precise vehicle operation
• Provide technical guidance and mentorship, supporting best practices in system design, coding standards, and debugging approaches
• Contribute to architectural evolution, ensuring scalability and alignment of navigation solutions within the broader system
  
  

• Degree in Robotics, Control Engineering, Computer Science, or a related technical discipline
• Extensive experience (7+ years) in navigation, motion planning, or control systems for robotics or autonomous platforms
• Advanced programming expertise in C++, particularly in high-performance, real-time applications
• Hands-on experience with robotics middleware such as ROS (ROS1 or ROS2)
• Strong understanding of planning techniques, including graph-based and sampling-based approaches, as well as trajectory optimization methods
• Solid foundation in control systems, with practical application of both classical and modern techniques (e.g., PID, MPC, LQR, nonlinear methods)
• Experience solving complex navigation challenges such as obstacle avoidance, constrained motion (non-holonomic systems), and uncertain or partially known environments
• Familiarity with integrating navigation outputs with upstream perception and localization data, including handling delays and uncertainty
• Proficiency with modern development practices, including version control systems and container-based workflows
  
  

• Prior ownership of large-scale navigation or control features, from design through deployment
• Experience in challenging environments such as off-road or unstructured terrain, including adaptive planning strategies
• Exposure to deploying robotics software on embedded or edge computing platforms (e.g., ARM-based systems)
• Familiarity with simulation and visualization tools for robotics system validation
  
  

• Strong problem-solving mindset with attention to system-level performance and reliability
• Ability to work independently while driving complex technical initiatives to completion
• Clear and effective communication skills for conveying complex technical concepts
• Commitment to continuous learning and staying current with advancements in robotics and autonomy
• Willingness to support and mentor others, contributing to overall technical excellence