Senior CV/ML Software Developer

2 weeks ago

Agra, Uttar Pradesh, India beBeeSoftwareEngineer Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
About the Position

A top industrial automation company is seeking a talented CV/ML Software Engineer to join their team.

Key Responsibilities
  • Develop and own C++ software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.
  • Implement classical image processing pipelines and computer vision algorithms, including denoising, resizing, color space conversion, undistortion, keypoints, homography, optical flow, and tracking.
  • Build and optimize distance estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
  • Integrate machine learning models for DMS/ADAS events, such as drowsiness, distraction/gaze, phone-usage, smoking, and seat belt usage.
  • Meet real-time targets on CPU/GPU/NPU using SIMD/NEON, multithreading, and zero-copy buffers.
  • Write clean, testable C++, CMake builds, and Git-based workflows, including branching, PRs, code reviews, and CI.
  • Instrument logging/telemetry and debug with gdb/addr2line, sanitize, and profile with perf/valgrind.
  • Collaborate with data/ML teams on dataset curation, labeling specs, training/evaluation, and model handoff.
Role Expectations
  • 2+ years hands-on experience in modern C++ on Linux, with strong Git and CMake.
  • Solid image processing and computer vision foundations, including camera models, intrinsics/extrinsics, distortion, PnP, and epipolar geometry.
  • Practical experience integrating CV/ML models on device, including OpenCV and ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI.
  • Experience building real-time pipelines for live video, optimizing for latency & memory, using GStreamer/FFmpeg, RTSP/RTMP, and ring buffers.
  • Competence in multithreading/concurrency, lock-free queues, and producer-consumer designs.
  • 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.
  • Model training exposure, including augmentation, evaluation, quantization/pruning, and conversion to ONNX/TensorRT/NCNN.
  • Hardware acceleration, including 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.
  • Basic familiarity with MQTT/IoT, message schemas, and over-the-air updates.
Benefits and Qualifications
  • A competitive salary and benefits package.
  • A collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.
  • A commitment to innovation and excellence.

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