Senior Robotics Engineer- Spot Autonomy

Responsibilities

In this role you will have the opportunity to develop Spot’s next generation autonomy capabilities. Together with the Spot Autonomy Team, you will research and integrate state-of-the-art approaches in perception, localization, and navigation to ensure that our robots can navigate robustly and confidently.

• Develop Spot’s next generation localization, mapping, perception and autonomy capabilities and deliver them to the product.
• Apply and develop novel approaches in SLAM, ML and perception to solve complex challenges in semantically-aware navigation and localization in dynamic environments.
• Leverage real-world sensor data, simulation, and tests to ensure that your solutions are robust and performant at scale.
• Take active ownership of key components in Spot’s autonomy and perception stack.
• Collaborate closely with skilled researchers and engineers passionate about Spot’s autonomy capabilities.
• Work embedded in the broader Spot R&D team, collaborating with other groups and experts from a wide variety of backgrounds.

Required:

• A Master’s degree in Computer Science, Robotics or a related field and 3+ years of professional experience.
• A strong understanding of robotics, including methods in perception, localization (SLAM), and navigation.
• Familiarity with both traditional and ML-based methods and their typical strengths & shortcomings.
• First-hand experience in Machine Learning and data-driven approaches to visual perception problems.
• A good understanding of recent ML approaches such as LLMs & ViTs and/or navigation/behavior policies.
• Experience with Machine Learning frameworks (e.g. PyTorch).
• Experienced in writing performant, well-structured, and testable C++ and Python code.
• Be a team player and good communicator, able to work well in a dynamic and collaborative environment.
• Have a passion for quality and autonomous robots.

• A PhD in Computer Science, Robotics or a related field.
• A strong background in advanced robotics, autonomy, and control systems, with a pragmatic approach to deploying robust, real-world solutions.
• Experience with advanced topics in localization and navigation, including ML-enhanced methods like semantic SLAM or end-to-end approaches.
• Experience with 3D robot simulation (e.g. Mujoco or Isaac Lab).
• A track record of relevant product deliverables, open-source contributions, or publications.

We are growing rapidly, building a commercial company that delivers cutting-edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.