Posted:5 hours ago|
Platform:
On-site
Full Time
We’re building safety first video telematics products (ADAS/DMS/driver behavior analytics) that run efficiently on edge devices inside commercial vehicles. You will write modern C++ software, integrate and optimize CV/ML pipelines, and ship reliable, low latency perception features such as driver monitoring and distance estimation from camera feeds.
· 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.
· B.Tech/B.E. in CS/EE/ECE (or equivalent practical experience).
Reporting To: Technical Lead ADAS
Requisites:
· Cross compiling, Yocto/Buildroot, containerized toolchains; unit tests (gtest), static analysis (clang tidy, cppcheck), sanitizers.
Technical Competency:
Novus Hi-Tech
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