Boson Motors India

Boson is a Silicon Valley-based start-up specializing in farm automation. We tackle agricultural challenges through innovative electric vehicles and advanced computer vision technology. As we expand our operations and impact we are seeking a seasoned Robotics Engineer to lead the design , deployment and refinement of autonomous navigation systems for our Ackermann steered robotic vehicles. This is a production focussed role for a candidate with a track record of shipping and maintaining real robots in the field. You will lead efforts in mapping, localization, planner design, and perception using ROS2/ROS1 Key Responsibilities ●ROS Navigation Stack: Design, implement, and maintain the ROS2/ROS1 navigation stack (using Nav2 or equivalent), specifically tuned for Ackermann steering constraints (minimum turning radius) ●SLAM & Localization: Integrate SLAM/mapping and localization algorithms (e.g., SLAM toolbox, Cartographer, AMCL) to generate maps and provide robust state estimation ● Path Planning & Control: Develop global and local planners, cost-maps, and motion controllers (e.g., MPC, Pure Pursuit) that respect Ackermann kinematics and trajectory following ● Perception & Obstacle Avoidance: Fuse multisensor data (LIDAR, cameras, depth sensors, IMU, GPS/GNSS) for realtime detection, tracking, and prediction of static and dynamic obstacles, and building cost maps ● Computer Vision: Implement vision tasks such as object detection/recognition, semantic/instance segmentation, and depth estimation ● Robustness & Safety : Implement safety, fallback, and recovery behaviors for situations like being stuck, lost localization, or environmental anomalies ● Software Development: Write production-grade, real-time Modern C++ (C++17+) and/or Python code. Use product development practices including CI/CD and focus on performance optimization (latency, CPU/GPU) ● Team Leadership: Lead and mentor junior engineers and interns Required Skills & Qualifications The ideal candidate will have 7- 10 years of experience and deep expertise in the following: Core Robotics & Software ● ROS/Nav2 Expertise : Strong experience with ROS2/ROS1 (Foxy, Humble, Jazzy, etc.), Nav2, and its design patterns (Lifecycle Nodes, Behavior Trees, Pluginlib, Composable Nodes) ● C++/Python Proficiency : Expert in C++ and/or Python for real-time node development. Proficient in Modern C++ best practices (RAII, smart pointers, templates). ● Algorithmic Foundation: Thorough understanding of real-time programming, linear algebra, data structures, algorithms, kinematics, and 3D geometry ● Simulation & Testing: Experience with simulation (Gazebo, RViz, IsaacSim) and the ability to transfer solutions from sim to real hardware. Strong experience with ROS 2 unit, integration, and launch tests. Navigation & Perception Focus ● Ackermann Kinematics : Good understanding of Ackermann steering constraints and how to adapt controllers/planners accordingly ● SLAM/Localization : Expertise in SLAM, localization, mapping, map representations, and transforms (tf2) ● Sensor Modalities: Proficiency with LIDAR, depth/RGB/Stereo cameras, IMUs, encoders, including calibration, synchronization, and noise filtering. ● Advanced Planning: Expertise in global/local planners, costmap generation, safety constraints, and designing hybrid planning frameworks. ● Perception: Strong skills in computer vision (object detection, segmentation) and the ability to integrate trained models (e.g., YOLO) Data handling skills ● Machine Learning Frameworks : Proficiency in PyTorch, TensorFlow, and Keras for developing and deploying deep learning models in robotics applications. ● Data Handling : Experienced with Pandas for efficient data manipulation and preprocessing tasks. ● GPU Programming: Strong background in CUDA programming to leverage GPU acceleration for computationally intensive tasks. Nice-to-Have Skills ● Experience with d ynamic obstacle prediction . ● Prior work with hybrid planners ( e.g., Hybrid A*, SmacPlanner) that respect curvature constraints ● Experience with hardware-in-the-loop testing and tuning PID/MPC controllers ● Familiarity with robotics safety standards ● Reinforcement Learning for Deliberation in ROS 2