Visionary Software Developer

2 weeks ago

Thoothukudi, Tamil Nadu, India beBeecvmlengineer Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Title:

CV/ML Engineer

Job Description:

We are seeking an experienced software engineer with expertise in computer vision (CV) and machine learning (ML). The successful candidate will be responsible for implementing C++ software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.

This is a challenging role that requires strong image processing and computer-vision foundations. You will be working on classical image processing pipelines, CV algorithms, and ML models. Your task will be to implement distance estimation from monocular/stereo cameras using calibration, geometry, and/or depth-estimation networks.

In addition, you will be integrating ML models for DMS/ADAS events such as drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc. Your goal will be to hit real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multi-threading, zero copy buffers.

We are looking for someone who has 2+ years of hands-on experience in modern C++ on Linux, with strong Git and CMake skills. You should have solid image processing and computer-vision foundations (camera models, intrinsics/extrinsics, distortion, PnP, epipolar geometry).

You should also have practical experience integrating CV/ML models on device (OpenCV + ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI). Experience building real-time pipelines for live video (GStreamer/FFmpeg, RTSP/RTMP, ring buffers), optimizing for latency & memory is a plus.

Requirements:
  • Hands-on experience in modern C++ on Linux
  • Solid image processing and computer-vision foundations
  • Practical experience integrating CV/ML models on device
  • Experience building real-time pipelines for live video
Desirable Skills:
  • Knowledge of monocular depth estimation, stereo matching, or structure from motion
  • Model training exposure (PyTorch/TensorFlow)
  • Hardware acceleration (GPU/VPU/NPU)
  • Cross compiling, Yocto/Buildroot, containerized toolchains

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