Embedded Platform Lead

Description :

Experience : 10+yrs

Work location : Bangalore[work from office]

Notice period : not more than 45 days[as we are looking for someone with Shorter notice please]

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.

Key Responsibilities :

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