Modern Computer Vision Software Expert

2 weeks ago

Salem, Tamil Nadu, India beBeeSoftwareDeveloper Full time ₹ 80,00,000 - ₹ 1,52,00,000
Embedded Vision Software Developer

Job Description:

We are seeking a skilled Embedded Vision Software Developer to join our team. As an expert in computer vision and machine learning, you will design and develop cutting-edge software solutions for real-time image and video processing.

Responsibilities include:

  • Designing and implementing classical image processing pipelines and CV algorithms for on-device video capture, preprocessing, inference, and post-processing.
  • Developing and optimizing distance estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
  • Integrating ML models for DMS/ADAS events, including drowsiness, distraction/gaze, phone-usage, smoking, seat belt detection, etc.
  • Meeting real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multithreading, zero-copy buffers.
  • Writing clean, testable C++ code with CMake builds and Git-based workflows.
  • Instrumenting logging/telemetry; debugging with gdb/addr2line, sanitizing and profiling with perf/valgrind.

Requirements and Qualifications:

  • 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, epipolar geometry.
  • Practical experience integrating CV/ML models on device, including OpenCV + ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI.
  • Experience building real-time pipelines for live video, 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, including augmentation, evaluation (precision/recall, ROC/PR), quantization/pruning, conversion to ONNX/TensorRT/NCNN.
  • Hardware acceleration, YOLO/RT DETR/Lightweight backbones on edge.
  • Cross-compiling, Yocto/Buildroot, containerized toolchains; unit tests (gtest), static analysis (clang tidy, cppcheck), sanitizers.

Benefits:

As an Embedded Vision Software Developer at our company, you will have the opportunity to work on cutting-edge projects, collaborate with talented engineers, and develop your skills in computer vision and machine learning.

Others:

Basic familiarity with MQTT/IoT, message schemas, and over-the-air updates is desirable but not required. If you are passionate about computer vision and machine learning, and enjoy developing innovative software solutions, we encourage you to apply for this exciting opportunity.

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