Computer Vision & Autonomy Engineer | Pune
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and integrate perception, mapping, localization, and planning modules for autonomous robotic systems operating in complex, GPS-denied environments.
Develop and optimize multi-sensor fusion algorithms (camera, LiDAR, radar, IMU, GPS) and real-time autonomy pipelines suitable for embedded platforms like NVIDIA Jetson.
Lead sensor calibration, synchronization, system integration, field testing, and debugging under real-world and degraded conditions.
Minimum Requirements
3–4 years of professional experience in Robotics, Computer Vision, or Autonomous Systems.
Master’s or PhD degree in Robotics, Autonomous Systems, Computer Vision, AI/ML, Computer Science, or related field.
Proficient in C++ and Python programming; hands-on experience with ROS 2 and Linux environments.
Experience with sensor fusion, localization, mapping, motion planning and embedded AI platforms such as NVIDIA Jetson and CUDA.
Ideal Candidate Profile
Engineer with substantial hands-on expertise in end-to-end autonomy systems deployed in real-world, unstructured environments.
Comfortable working across perception, multi-sensor fusion, and planning pipelines with strong system integration and debugging capabilities.
Experience optimizing algorithms to run on embedded platforms and familiarity with robotics simulation tools (e.g., Gazebo, CARLA, Isaac Sim) is a plus.