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Senior Robotics Engineer

Senior Robotics Engineer

ConfidentialChennai, India
6 days ago
Job description

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
  • Skills Required

    lidar, gnss , Gps, Cuda, Tensorflow, Pandas, Pytorch, Keras, Python, Computer Vision

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