Job Description:

An Embedded Platform and Computer Vision Lead will be responsible to 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. Ideal candidate will be a highly motivated Embedded Platform & Computer Vision Lead with a strong C++ development background to drive the architecture, development, and optimization of embedded vision platforms.

Job 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 multicamera 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.

Qualifications:

·        Bachelor’s/Master’s in Computer Science, Electronics, or related field.

·        10+ years in embedded systems/software development, with expert-level C++ skills (C++11/14/17+).

·        Strong experience in multithreaded programming, memory management, and real-time application design.

·        Proven track record in computer vision and embedded AI deployment.

·        Proficiency with cross-compilation, CMake, and build optimization.

·        Solid understanding of camera interfaces (MIPI CSI, USB, GigE Vision) and image sensor integration.

Desirable Technical Skills:

·        CUDA, OpenCL, Vulkan, or FPGA acceleration for vision pipelines.

·        GStreamer pipeline development in C++.

·        Familiarity with low-level image sensor tuning (ISP parameters, calibration).

·        Experience with Agile/Scrum in embedded projects.

Desirable Soft Skills:

·        Strong analytical and problem-solving skills.

·        Ability to translate high-level goals into actionable technical plans.

·        Effective communication for cross-functional collaboration.

·        Hands on documentation & presentation would be desired.

·        Leadership in high-pressure, milestone-driven environments.

·        The skill of organizing tasks and completing them efficiently to meet deadlines.

Reports to: Division Head for day-to-day functioning and require to coordinate with cross functional leads.