Job Description
HKB DEVELOPMENT
Cyber Security Engineer
HKB DEVELOPMENT • Navi Mumbai, Maharashtra • via Iitjobs
17 hours ago
Full–time
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Job description
Job Role: Cyber Security Engineer Responsibilities:Determine security violations and inefficiencies by conducting periodic auditsUpgrade our network and infrastructure systemsImplement and maintain security controlsIdentify and solve potential and actual security problemsAssess the current situation, evaluating trends and anticipating security requirementsKeep users informed by preparing performan...
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A Top Industrial Automation Company which is part of a Top Engineering Group
CV/ ML Software Engineer
A Top Industrial Automation Company which is part of a Top Engineering Group • Thane, Maharashtra • via BeBee
12 hours ago
₹1.5Cr–₹2.5Cr a year
Full–time
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Job description
About a Top Industrial Automation Company, part of a Top Engineering Group
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.
Role Expectations:
• 2+ years 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.
• 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.
