Senior Computer Vision Engineer

24 hours ago

Bikaner, Rajasthan, India beBeeComputer Full time ₹ 15,00,000 - ₹ 20,20,000

About a leading Engineering Group.

Job Description

  • Owning C++ software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.
  • Implementing image processing pipelines (denoise, resize, color space, undistortion) and computer vision algorithms (keypoints, homography, optical flow, tracking).
  • Building and optimizing distance estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
  • Integrating machine learning models (PyTorch/TensorFlow → ONNX/TensorRT/NNAPI/NPU runtimes) for events: drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc.
  • Hitting real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multi-threading, zero-copy buffers.
  • Writing clean, testable C++, CMake builds, and Git-based workflows (branching, PRs, code reviews, CI).
  • Instrumenting logging/telemetry; debugging with gdb/addr2line, sanitizing and profiling with perf/valgrind.
  • Collaborating with data teams on dataset curation, labeling specs, training/evaluation, and model hand-off.

Key Responsibilities:

  • Capturing high-quality video feed using Linux-based systems.
  • Developing image processing techniques to enhance video quality.
  • Designing and implementing computer vision algorithms for real-time applications.
  • Optimizing ML models for various hardware platforms.
  • Ensuring seamless integration of CV and ML components.
  • Maintaining high-performance standards across multiple architectures.
  • Coordinating with data specialists to refine dataset quality.

What We Offer:

  • A collaborative environment that fosters innovation and growth.
  • Opportunities to work on cutting-edge projects at the intersection of AI and computer vision.
  • A talented team of engineers dedicated to delivering exceptional results.
  • Professional development opportunities to enhance your skills and expertise.

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