Cv/ Ml Software Development Expert

1 day ago

Erode, Tamil Nadu, India beBeeSoftware Full time ₹ 80,00,000 - ₹ 1,20,00,000

About us: We are a leading Industrial Automation Company with a strong Engineering Group background. Our vision is to push the boundaries of innovation and excellence in our field.Job Description:

We are seeking an experienced Cv/ Ml software engineer to join our team. This role will involve working on various projects, including developing C++ software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.

The ideal candidate should have a solid understanding of image processing and computer vision fundamentals, as well as experience integrating CV/ML models on device. They should also be proficient in modern C++ on Linux, with strong Git and CMake skills.

Key Responsibilities:

  • Develop and implement classical image processing pipelines (denoise, resize, color space, undistortion) and CV algorithms (keypoints, homography, optical flow, tracking).
  • Build and optimize distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
  • Integrate ML models (Py Torch/Tensor Flow → ONNX/Tensor RT/NNAPI/NPU runtimes) for DMS/ADAS events: drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc.
  • Hit real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multithreading, zero-copy buffers.
  • Write clean, testable C++, CMake builds, and Git-based workflows (branching, PRs, code reviews, CI).
  • Instrument logging/telemetry; debug with gdb/addr2line, sanitize and profile with perf/valgrind.

Requirements:

  • 2+ years hands-on in modern C++ on Linux, with strong Git and CMake.
  • Solid image processing and computer-vision foundations (camera models, intrinsics/extrinsics, distortion, Pn P, epipolar geometry).
  • Practical experience integrating CV/ML models on device (OpenCV + ONNX Runtime/Tensor RT/NCNN/MediaPipe/NNAPI).
  • Experience building real-time pipelines for live video (GStreamer/FFmpeg, RTSP/RTMP, ring buffers), optimizing for latency & memory.
  • Competence in multithreading/concurrency, lock-free queues, and producer-consumer designs.
  • Experience with driver monitoring or ADAS features; event logic and thresholding for production alerts.
  • Knowledge of monocular depth estimation, stereo matching, or structure from motion for distance estimation.
  • Model training exposure (PyTorch/TensorFlow): augmentation, evaluation (precision/recall, ROC/PR), quantization/pruning, conversion to ONNX/Tensor RT/NCNN.
  • Hardware acceleration (GPU/VPU/NPU, Arm NEON/DSP), YOLO/RT DETR/Lightweight backbones on edge.
  • Cross-compiling, Yocto/Buildroot, containerized toolchains; unit tests (gtest), static analysis (clang tidy, cppcheck), sanitizers.
  • Familiarity with MQTT/IoT, message schemas, and over-the-air updates.

Bonus points:

  • Previous experience with our technology stack.
  • Demonstrated passion for innovation and continuous learning.

How to apply:

Please share your resumes at

],

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