Visionary Software Developer

4 days ago

Coimbatore, Tamil Nadu, India beBeeSoftware Full time ₹ 20,00,000 - ₹ 25,00,000
Computer Vision and Machine Learning Software Engineer

We are a leader in industrial automation, dedicated to innovation and excellence in our field.

Our team is passionate about developing cutting-edge technologies that transform industries and improve lives.

Job Description

As a Computer Vision and Machine Learning Software Engineer, you will be responsible for designing and implementing classical image processing pipelines and computer vision algorithms, including denoising, resizing, color space conversion, undistortion, keypoint detection, homography estimation, optical flow calculation, and object tracking.

You will also be working on integrating machine learning models (PyTorch/TensorFlow to ONNX/TensorRT/NNAPI/NPU runtimes) for driver monitoring system and advanced driver-assistance system events, such as drowsiness, distraction/gaze, phone usage, smoking, and seat belt status.

Additionally, you will be achieving real-time targets (FPS/latency/memory) on CPU/GPU/NPU by leveraging SIMD/NEON, multithreading, zero-copy buffers, and other optimization techniques.

Required Skills and Qualifications
  • 2+ years hands-on experience in modern C++ on Linux, with strong proficiency in Git and CMake.
  • Solid foundation in image processing and computer vision, including camera models, intrinsics/extrinsics, distortion, PnP, epipolar geometry, and other relevant concepts.
  • Practical experience integrating computer vision and machine learning models on device using OpenCV + ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI.
  • Experience building real-time pipelines for live video using GStreamer/FFmpeg, RTSP/RTMP, ring buffers, optimizing for latency and memory efficiency.
  • Competence in multithreading/concurrency, lock-free queues, and producer-consumer designs, ensuring efficient and scalable system development.
  • Experience with driver monitoring or ADAS features, including event logic and thresholding for production alerts.
  • Knowledge of monocular depth estimation, stereo matching, or structure from motion for distance estimation, driving accuracy and precision.
  • Model training exposure (PyTorch/TensorFlow): augmentation, evaluation (precision/recall, ROC/PR), quantization/pruning, conversion to ONNX/TensorRT/NCNN.
  • Hardware acceleration (GPU/VPU/NPU, Arm NEON/DSP), YOLO/RT DETR/Lightweight backbones on edge, and cross-compiling expertise using Yocto/Buildroot and containerized toolchains.
  • Basic familiarity with MQTT/IoT, message schemas, and over-the-air updates, ensuring seamless communication and data exchange.
Benefits

As a member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with experienced engineers, and contribute to the development of innovative solutions.

You will also receive comprehensive training and support to help you grow in your career and achieve your goals.

Others

We are an equal opportunities employer and welcome applications from diverse candidates.

Please note that this job description is subject to change, and we reserve the right to modify it at any time.

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