AIML ROS Developer

Job Description

Experience: 3 to 6 Years
Job Title: AIML ROS Developer
Employment Type: Full-Time

Job Summary

We are looking for a skilled AIML ROS Developer with hands-on experience in developing, optimizing, and deploying deep learning models for real-time perception systems. The ideal candidate should have strong expertise in computer vision, sensor fusion, LiDAR and radar-based object tracking, and model deployment on optimized inference platforms. Experience with MATLAB/Simulink, ROS 2, and modern C++ is highly desirable.

Key Responsibilities

• Design, develop, and deploy real-time computer vision and perception algorithms for object detection, classification, tracking, and scene understanding.
• Develop and optimize deep learning models using PyTorch, ONNX, and TensorRT for real-time inference.
• Implement model optimization techniques, including INT8 quantization, pruning, layer fusion, and inference acceleration.
• Process and analyze real-time image, LiDAR point-cloud, and radar data for object detection and tracking.
• Develop multi-modal sensor fusion algorithms integrating camera, LiDAR, and radar data.
• Evaluate model performance using metrics such as mAP, IoU, FPS, inference latency, and accuracy.
• Work with ROS 2 (preferably Humble) for perception pipeline development, integration, testing, and deployment.
• Use MATLAB/Simulink for algorithm development, simulation, modeling, validation, and testing of perception systems.
• Profile and debug perception pipelines to improve computational efficiency and real-time performance.
• Collaborate with cross-functional teams to integrate perception solutions into production systems.

Required Skills and Qualifications

• 3 to 6 years of hands-on experience in Computer Vision, Deep Learning, or Perception Engineering for real-time systems.
• Strong proficiency in deep learning frameworks and deployment tools, including PyTorch, TensorRT, and ONNX.
• Practical experience with model optimization techniques such as INT8 quantization, pruning, layer fusion, and inference optimization.
• Strong understanding of image processing, point-cloud processing, object detection, and tracking algorithms.
• Hands-on experience with ROS 2, preferably Humble, and familiarity with LiDAR processing, radar-based object tracking, and multi-sensor fusion.
• Strong programming skills in Python and modern C++ (C++17 or later).
• Experience with MATLAB/Simulink for algorithm development, simulation, validation, and performance analysis.
• Understanding of real-time performance evaluation using mAP, IoU, FPS, and latency metrics.

Good-to-Have Skills

• Experience with CUDA programming and GPU acceleration.
• Familiarity with CVAT or SuperAnnotate for dataset annotation and management.
• Experience with RViz, rosbag, GStreamer, and performance profiling tools.
• Knowledge of automotive perception systems, ADAS, autonomous driving, or robotics.
• Familiarity with model deployment on embedded GPU platforms and edge computing devices.
• Experience with MATLAB toolboxes for computer vision, sensor fusion, or automated driving.