Mechanical Engineer, Robotics

About Ndimensions Labs: At Ndimensions, we're inventing the infrastructure for next-generation robotics AI systems. Our robots need to understand, map, and move through complex real-world environments with precision and intelligence. We're looking for an AI engineer focused on robotics navigation to push the boundaries of how autonomous systems perceive and traverse their environments. You'll research and implement novel approaches to SLAM, path planning, and spatial reasoning — combining classical techniques with modern AI methods to solve navigation problems that don't yet have good solutions. What You'll Do: Design and implement state-of-the-art SLAM systems (visual, LiDAR, multi-sensor fusion) for real-time mapping and localization in dynamic environments. Develop novel navigation algorithms that combine learned representations with geometric reasoning for robust autonomous movement. Research and prototype new approaches to spatial understanding, including neural implicit representations, foundation model-based scene understanding, and learned cost maps. Build and optimize path- and motion-planning pipelines that operate under real-time constraints on robotic hardware. Integrate navigation systems with perception, manipulation, and high-level task planning modules. Design experiments and benchmarks to evaluate navigation performance across diverse environments and conditions. Deploy and validate navigation stacks on physical robots, iterating rapidly between simulation and real-world testing. What We're Looking For: Strong background in robotics navigation, SLAM, and autonomous systems with demonstrated research or engineering contributions. Deep understanding of traditional SLAM and navigation fundamentals: graph-based optimization, factor graphs, loop closure, occupancy grids, costmaps, and multi-sensor fusion (camera, IMU, LiDAR, depth sensors). Experience applying AI and learning-based approaches to navigation problems — e.g., learned cost maps, neural SLAM, end-to-end navigation policies, or foundation model-driven spatial reasoning. Strong working knowledge of the ROS/ROS2 ecosystem, including Nav2, move_base, tf2, and common navigation stacks. Proficiency in C++ and Python for real-time robotics software development. Experience implementing and deploying navigation systems on real robots, not just in simulation. Strong foundation in linear algebra, optimization, probabilistic inference, and 3D geometry. Ability to read, reproduce, and extend results from recent research papers and develop novel algorithmic approaches. Master's or PhD in Robotics, Computer Science, or a related field (or equivalent industry experience). Bonus (Not Required): Experience with robotic manipulators, actuators, or force/torque-controlled mechanisms. Familiarity with motor control and electromechanical integration alongside electrical and firmware teams. A track record of shipping premium consumer or hardware products where fit, finish, and reliability mattered. Prior work in a startup or fast-paced hardware prototyping environment. #J-18808-Ljbffr ndimensions labs