Robotics Autonomy Team Lead

We are a global company located in TL and we are looking for a Robotics Autonomy Team Lead to join us!

Responsibilities:

• Design, implement, test, and deploy motion planning and navigation algorithms that drive vehicles safely and efficiently in unpredictable terrains, generating collision-free paths and dynamic manoeuvres
• Shape top-level autonomy algorithms, balancing performance, safety, and scalability, while employing modern software engineering practices to produce clean, robust, and well-tested code
• Leverage real-world data and simulation to continuously refine and optimize algorithms, ensuring stability and resilience in harsh conditions
• Work closely with perception, hardware, product, integration, and testing teams to build, maintain, and rigorously evaluate a full autonomy stack in both simulation and real-world environments.

Requirements:

• MSc in Computer Science or Electrical Engineering
• 5+ years of hands-on experience implementing, testing, and deploying motion planning and navigation solutions in C++ (or equivalent) on real robotic or autonomous platforms
• Strong understanding of traditional and modern approaches to motion planning and navigation, coupled with solid theoretical foundations, practical expertise, and a grasp of relevant data structures, algorithms, and software tools in robotics.
• Proficient with version control, code review, and collaborative development processes, demonstrating the ability to produce large volumes of clean, efficient, and well-tested code rapidly
• Proven ability to lead experienced SW/Algo engineers, set objectives, and guide technical direction in a fast-paced, innovation-driven environment
• Comfortable navigating unclear solutions, embracing experimentation, and thriving in an ever-evolving landscape where challenges require creativity and resilience

Advantages:

• Experience deploying autonomous systems in off-road, agricultural, or other unstructured environments
• ROS/ROS2 development experience (C++), ideally in a professional setting
• Exposure to AI/ML-based methods for advanced decision-making or enhanced planning performance

CV to [email protected]