Job Description

Experience: 3 to 6 Years
Job Title: Autonomous Navigation And Perception Engineer
Employment Type: Full-Time

Job Summary

We are looking for a skilled Autonomous Navigation And Perception Engineer with hands-on experience in developing, optimizing, and deploying deep learning models for real-time perception systems. The ideal candidate should have robust 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.
- Solid 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.

📌 Autonomous Navigation And Perception Engineer (Pune)
🏢 Optm Media Solutions
📍 Pune