Research Engineer

Job Type   /   Job Level

Full-time   /   Others/Any

Company Location

India

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.

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