
Visionary Software Developer
1 week ago
Our company seeks a skilled Software Engineer to take ownership of C++ software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.
The ideal candidate will implement classical image processing pipelines (denoise, resize, color space, undistortion) and CV algorithms (keypoints, homography, optical flow, tracking).
You will build and optimize distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
Additionally, you will integrate ML models (PyTorch/TensorFlow → ONNX/TensorRT/NNAPI/NPU runtimes) for DMS/ADAS events: drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc.
The successful candidate will hit real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multi-threading, zero-copy buffers.
You will write clean, testable C++, CMake builds, and Git-based workflows (branching, PRs, code reviews, CI).
Furthermore, you will instrument logging/telemetry; debug with gdb/addr2line, sanitize and profile with perf/valgrind.
- Required Skills:
- 2+ years hands-on 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.
- Comfort with debugging & profiling on Linux targets.
- Additional Requirements:
- 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.
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