Research Engineer

Key Responsibilities:

• Own C++ software modules for on device video capture, preprocessing, inference, and post processing on Linux.       
• Implement classical image processing pipelines (denoise, resize, color space, undistortion) and CV algorithms (keypoints, homography, optical flow, tracking).
• Build and optimize distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
• Integrate ML models (PyTorch/TensorFlow → ONNX/TensorRT/NNAPI/NPU runtimes) for DMS/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.
• Work with product & compliance to meet on road reliability, privacy, and regulatory expectations.