Exceptional Software Engineer

1 week ago

Thrissur, Kerala, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About a top industrial automation company, we are seeking an exceptional Software Engineer to join our team.

  • As a software engineer, you will be responsible for designing and developing high-performance software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.
  • You will implement classical image processing pipelines (denoise, resize, color space, undistortion) and CV algorithms (keypoints, homography, optical flow, tracking).
  • Your tasks will also include building and optimizing distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
  • Furthermore, you will integrate ML models (PyTorch/TensorFlow to ONNX/TensorRT/NNAPI/NPU runtimes) for DMS/ADAS events: drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc.
  • You will hit real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multithreading, zero-copy buffers.
  • Additionally, you will write clean, testable C++, CMake builds, and Git-based workflows (branching, PRs, code reviews, CI).
  • You will also instrument logging/telemetry; debug with gdb/addr2line, sanitize and profile with perf/valgrind.
  • Collaboration with data/ML teams on dataset curation, labeling specs, training/evaluation, and model handoff is a crucial part of the job.
Required Skills and Qualifications:
  • At least 2+ years hands-on experience 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/TensorRT/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.
  • 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.
Benefits:

This role offers opportunities for professional growth and development, working with a talented team of engineers, and contributing to cutting-edge projects. We value diversity and inclusion in the workplace and offer a range of benefits to support work-life balance and employee well-being.

How to Apply:

We are excited to hear from motivated and talented individuals who share our passion for innovation and excellence. Please submit your application through our website, including your resume and a cover letter outlining your qualifications and experience. We look forward to reviewing your application and discussing this opportunity further.

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