Visionary Software Developer

2 days ago

Dindigul, Tamil Nadu, India beBeeIndustrial Full time ₹ 14,23,393 - ₹ 24,65,924
Software Engineer for Industrial Automation

We are seeking a skilled Software Engineer to join our team in developing cutting-edge solutions for industrial automation. The ideal candidate will have expertise in modern C++ programming on Linux, with strong experience in Git and CMake.

Responsibilities include owning software modules for on-device video capture, preprocessing, inference, and post-processing on Linux. You will implement classical image processing pipelines and CV algorithms, build and optimize distance estimation from monocular/stereo cameras using calibration, geometry, and depth-estimation networks.

The successful candidate will also integrate ML models for DMS/ADAS events, hit real-time targets on CPU/GPU/NPU, write clean testable code, and collaborate with data/ML teams on dataset curation and model handoff.

  • Key Responsibilities:
  • Implement 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.
  • Collaborate with data/ML teams on dataset curation, labeling specs, training/evaluation, and model handoff.
  • 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, PnP, 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/TensorRT/NCNN.
  • Cross-compiling, Yocto/Buildroot, containerized toolchains; unit tests (gtest), static analysis (clang-tidy, cppcheck), sanitizers.
  • Basic familiarity with MQTT/IoT, message schemas, and over-the-air updates.

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