In this role, you will blend computer vision, AI, sensor fusion, and embedded engineering to deliver robust, field-validated autonomous capabilities. You will shape key architectural decisions and help bring cutting-edge autonomy features into real-world deployment.

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 workplace 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.
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📌 Computer Vision Engineer (Mumbai)
🏢 L&T Precision Engineering and Systems
📍 Mumbai