AI +Autonomous Driving Software Engineer

1 week ago

Jūnāgadh, India The TFPL Full time

AI + Autonomous Driving Software Engineer Location: Ahmedabad - Onsite Experience Level: 2-5 yrs Experience Overview You will lead the implementation and customization of open-source autonomous-driving frameworks (Autoware, Apollo, CARLA) to build lane/path detection, path planning, and vehicle-control capabilities for our platform. Your work will include integrating perception models, tuning planning algorithms, optimizing performance on embedded hardware, and preparing the system for on-road deployment. Key Responsibilities • Integrate and extend open-source autonomous-driving stacks (Autoware or Apollo) for real-time perception, mapping, planning and control. • Implement lane/path detection using classical CV and deep-learning models; adapt and optimize neural-network perception pipelines. • Develop, tune, and test path-planning algorithms (local planners, behavior planners, trajectory generators). • Build simulation pipelines using CARLA or similar tools to validate perception and planning modules. • Customize modules for hardware-specific constraints (sensors, compute platforms, CAN interfaces). • Create tools for logging, visualization, and debugging of autonomous-driving behavior. • Collaborate with mechanical, sensor, and platform teams to ensure robust integration on physical vehicles. • Contribute to safety, testing, and performance-validation frameworks. Required Skills • Strong proficiency in C++ and Python. • Experience with ROS/ROS2, Autoware, or Apollo. • Hands-on experience with computer vision and deep learning (OpenCV, PyTorch/TensorFlow). • Understanding of sensor fusion, SLAM, mapping, tracking, or localization pipelines. • Familiarity with path planning (A*, RRT, MPC, PID), motion control, and trajectory optimization. • Experience with simulation tools (CARLA, Gazebo) and data-logging workflows. • Ability to work with LiDAR, radar, camera sensors and integrate new sensor modalities. • Strong debugging, optimization, and system-integration skills. Preferred / Nice-to-Have • Experience deploying on embedded compute (NVIDIA Jetson family). • Background in ADAS or autonomous driving. • Experience with CAN bus/vehicle interface integration. • Knowledge of safety frameworks (ISO 26262, SOTIF). • Understanding of reinforcement learning or end-to-end driving models.

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