Computer Vision Engineer

2 days ago


Tiruppur, Tamil Nadu, India beBeeSoftwareEngineer Full time ₹ 1,20,00,000 - ₹ 2,50,00,000

About Our Industrial Automation Job

We are seeking an experienced Software Engineer to work on device video capture, preprocessing, inference, and post processing.

The ideal candidate will implement image processing pipelines and computer vision algorithms including keypoints, homography, optical flow, tracking.

Responsibilities include building and optimizing distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.

You will integrate ML models for DMS/ADAS events such as drowsiness, distraction/gaze, phone-­usage, smoking, seat belt, etc.

Must hit real time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multi threading, zero copy buffers.

You will write clean, testable C++, CMake builds, and Git based workflows including 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 hand-off.

Requirements:

• 2+ years hands on in modern C++ on Linux, with strong Git and CMake.

• Solid image processing and computer-vision foundations including camera models, intrinsics/extrinsics, distortion, PnP, epipolar geometry.

• Practical experience integrating CV/ML models on device.

• Experience building real time pipelines for live video, optimizing for latency & memory.

• Competence in multithreading/concurrency, lock free queues, and producer–consumer designs.

• Comfort with debugging & profiling on Linux targets.

• Knowledge of monocular depth estimation, stereo matching, or structure from motion for distance estimation.

• Model training exposure: 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.



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