Key Responsibilities
- Design, implement, and maintain core autonomy modules that integrate sensing, perception, state estimation, mapping, and planner interfaces into a cohesive real-time system.
- Develop high-performance computer vision pipelines (classical + AI-based) for detection, segmentation, tracking, and scene understanding, ensuring reliable operation on embedded hardware.
- Build multimodal perception systems that fuse camera, LiDAR, radar, and IMU data into accurate, navigation-ready setting representations.
- Deploy, optimize, and maintain autonomy software on embedded platforms (Jetson AGX/Orin), including TensorRT optimisation, cross-compilation, CUDA acceleration, and performance tuning for real-time execution.
- Own sensor bring-up, configuration, calibration, and synchronization (camera, LiDAR, radar, IMU, GPS), ensuring accurate and stable data for downstream modules.
- Ensure system-level robustness and safety by maintaining strict latency budgets, deterministic behaviour, numerical stability, and fall-back mechanisms for degraded sensing conditions.




- Conduct field trials, capture datasets, analyse system performance, and drive iterative improvements across sensing, perception, fusion, and planning layers.
- Debug deep autonomy stack issues including timing mismatches, calibration drift, concurrency conflicts, synchronization faults, and hardware–software integration challenges.
- Build deployment-ready autonomy systems using ROS/ROS2, Docker, systemd services, and reproducible build pipelines tailored for embedded platforms.
- Collaborate with mechanical, electronics, and systems teams to align autonomy software capabilities with real-world hardware constraints and vehicle dynamics.
- Contribute to autonomy architecture evolution, influencing design decisions, modularisation strategy, safety mechanisms, and long-term capability roadmap.

Required Technical Skills
- · Required Bachelor’s degree in Robotics, Computer Science, Mechatronics or

📌 Computer Vision Engineer (Bengaluru)
🏢 LT-Larsen & Toubro
📍 Bengaluru