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4 days ago
This is an exciting opportunity to work as a software engineer specializing in computer vision and machine learning.
Key Responsibilities- Develop and optimize 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 detection, homography estimation, optical flow calculation, and tracking.
- Design and build distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
- Integrate machine learning models (PyTorch/TensorFlow) for DMS/ADAS events: drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc.
- Meet 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.
- C++ expertise
- Linux system knowledge
- Strong understanding of Git
- CMake proficiency
- Machine learning model integration skills
- Computer vision and image processing knowledge
- Familiarity with CMake and Git
- Real-time optimization experience
- Hardware acceleration knowledge
- Containerized toolchains familiarity
- Basic IoT knowledge
This role offers a competitive compensation package, opportunities for growth and professional development, and a collaborative work environment.
About UsWe are a technology-driven company committed to innovation and excellence. We strive to create cutting-edge solutions that make a positive impact.
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