Embedded Platform and Computer Vision Lead
2 days ago
One of our reputed client has the following vacancy:
Job Designation: Embedded Platform and Computer Vision Lead
Work mode: Work from office
Job location : Bangalore
Experience : 10+yrs
Responsibilities:
We are seeking a highly skilled and motivated Embedded Platform & Computer Vision Lead with a strong C++ development background to drive the architecture, development, and optimization of embedded vision platforms. You will lead a cross-functional engineering team responsible for designing high-performance embedded systems, High Performance C++ Applications with integrating computer vision and AI algorithms, and delivering reliable, real-time solutions for edge
devices. This role combines technical leadership, hands-on development, and strategic decision-making to meet performance, cost, and time-to-market goals.
Leadership & Technical Direction
- Define system architecture, technology roadmaps, and development best practices for embedded vision platforms.
- Lead and mentor engineers in embedded systems, computer vision, and AI model deployment.
- Collaborate with product, hardware, and algorithm teams to align designs with functional and performance goals.
Embedded Platform Development (C++ Core)
- Lead C++ application and library development for real-time vision systems running on embedded Linux or RTOS.
- Design and optimize multithreaded and low-latency pipelines for image and video processing.
- Oversee Board Support Package (BSP) customization, device driver integration, and peripheral management.
- Profile and optimize code for memory footprint, CPU/GPU/NPU utilization, and power efficiency.
Computer Vision & AI Integration
- Integrate classical computer vision (OpenCV, custom algorithms) and deep learning models into C++ applications.
Deploy and optimize AI workloads using frameworks such as TensorRT, OpenVINO, or ONNX Runtime.
Ensure real-time performance for video analytics, including synchronization with multi-
camera setups.
Collaboration & System Integration
- Work closely with hardware engineers on SoC/FPGA/GPU-based platforms.
- Interface with QA for automated testing, benchmarking, and performance validation.
- Coordinate with suppliers for component selection and production readiness.
If you are interested please share your Cv to with current CTC,ECTC,notice period or simply click the Apply button
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