Embedded Platform and Computer Vision Lead

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 sridevi.g@sapwood.net with current CTC,ECTC,notice period or simply click the Apply button