
Vision Engineer: Edge AI Developer
5 days ago
We are seeking an experienced Vision Engineer to join our team and lead the development of edge AI solutions.
Job DescriptionThe successful candidate will design, implement, and optimize computer vision algorithms and machine learning models for real-time video processing on Linux-based devices. This includes developing image processing pipelines, integrating CV/ML models, and optimizing for latency and memory.
Required Skills and QualificationsTo be successful in this role, you will need:
- Strong experience with modern C++ on Linux, including Git and CMake.
- Solid foundations in image processing and computer vision, including camera models, intrinsics/extrinsics, distortion, PnP, and epipolar geometry.
- Practical experience integrating CV/ML models on device using OpenCV and ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI.
- Experience building real-time pipelines for live video using GStreamer/FFmpeg, RTSP/RTMP, and ring buffers.
- Competence in multithreading/concurrency, lock-free queues, and producer-consumer designs.
- Comfort with debugging and profiling on Linux targets.
- Knowledge of monocular depth estimation, stereo matching, or structure from motion for distance estimation.
- Model training exposure, including augmentation, evaluation, quantization/pruning, and conversion to ONNX/TensorRT/NCNN.
- Hardware acceleration, including 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.
As a member of our team, you will enjoy:
- A dynamic and collaborative work environment.
- Ongoing training and professional development opportunities.
- A competitive salary and benefits package.
We value diversity and inclusion in the workplace and encourage applications from candidates who share these values.
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