Research Engineer - ADAS (ID 1281)
About this role
· 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.
Requirements
· B.Tech/B.E. in CS/EE/ECE (or equivalent practical experience).
· 2–3 years in CV/ML or video-centric software roles. 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.
Requisites:
· Experience with driver monitoring or ADAS features; event logic and thresholding for production alerts.
· 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.
Technical Competency:
· Languages: C++, Python
· CV/ML: OpenCV, ONNX Runtime/TensorRT/NCNN/MediaPipe; PyTorch/TensorFlow (for training/eval).
· Video: GStreamer/FFmpeg, V4L2, RTSP/RTMP.
· Build/DevOps: CMake, Git, gtest, clang-tidy, sanitizers; CI/CD (GitHub/GitLab/Bitbucket).
Company at a glance
Market Scope is the leading source for market data, independent perspective and objective analysis in today’s ophthalmic and orthopedic markets.
Since 1998, Market Scope has surveyed physicians regarding procedure volumes, surgical techniques, and product use. We use this data, along with our extensive database of physicians and surgery centers, our wide-ranging knowledge of products and technology, and our comprehensive network of industry contacts, to report on the ophthalmic and orthopedic industries.
Market Scope reports are used by manufacturers, investors, entrepreneurs, and venture capitalists to measure performance, make investment decisions, and allocate resources. Our data, analysis, and forecasts serve as starting points for many annual planning cycles, strategic plans, acquisition analyses, and return on investment decisions in the industry. In addition, our information is routinely included in annual reports, SEC filings, and investor presentations by leading companies.
Opinion-leading physicians often include Market Scope data in presentations at major professional meetings to provide context and relevance to clinical findings. Market Scope data is also frequently quoted in national publications such as the Wall Street Journal and the New York Times, and in industry publications including Eye World and Ocular Surgery News.
Market Scope continues to be the most highly valued source for accurate and timely information about ophthalmic and orthopedic markets.
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