Software Development Engineer

7 days ago

Jaipur, Rajasthan, India beBeeSoftware Full time ₹ 15,00,000 - ₹ 25,00,000

Are you passionate about developing cutting-edge computer vision and machine learning solutions?

We are seeking an experienced Software Development Engineer to join our team, where you will play a key role in designing, developing, and deploying innovative software applications that utilize computer vision and machine learning techniques.

Key Responsibilities
  • Design, develop, and optimize C++ software modules for video capture, preprocessing, inference, and post-processing on Linux.
  • Implement image processing pipelines and computer vision algorithms using C++.
  • BUILD AND OPTIMIZE DISTANCE ESTIMATION FROM MONOCULAR/STEREO CAMERA(S) USING CALIBRATION, GEOMETRY, AND/OR DEPTH-ESTIMATION NETWORKS.
  • Integrate machine learning models (PyTorch/TensorFlow → ONNX/TensorRT/NNAPI/NPU runtimes) for driver monitoring and 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.
  • Collaborate with data/ML teams on dataset curation, labeling specs, training/evaluation, and model handoff.
Required Skills and Qualifications
  • Strong background in modern C++ on Linux, with experience in 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.
  • Basic familiarity with MQTT/IoT, message schemas, and over-the-air updates.

Please note that we require a bachelor's degree in Computer Science or related field.

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