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Embedded System Architect

Roles & Responsibilities:

  • Be part of a groundbreaking team which leads the selection, design & implementation of the high-end data rate image processing for APPLIED MATERIALS next generation tools

  • Leading challenging research & development of image processing infra-structure both from SW and HW perspectives

  • Design and implementation the architecture of SW/System solutions in Real time Embedded Image Processing System, Development in high performance computing systems and high data rate

  • Writing in all SW layers ASM/C/C++/python for DSPs/CPU/GPU/SOC at a low software level 

  • Development in various operating systems (Windows, Linux, DSP-RTOS) and various processors (X86, ARM, DSP, GPU)

  • Intensive team work along the development path with various interfaces and other groups like algorithm & HW teams & Product SW groups & External sub-contractor SW team 

  • Analysis & estimation of advanced SOC (system on chip) and SOM (system on module) in terms of performance estimation, programing model, Deep learning processing capabilities & infra-structure, ease of use, TTM, integration with existing funnels & modules, suitability for processing non-trivial image processing algorithm & building blocks

  • Developing efficient image processing blocks for various architectures 

Requirements:

  • BSc/MSc in Computer Science/Electrical Engineer or related technical discipline

  • Deep understanding in micro-architecture of processing units like GPU , DSP (VLIW) Intel Advanced CPU architecture, ARM A-Cortex architecture , Hybrid SOC architecture

  • Deep understanding and Experience deeply in hands-on optimization and acceleration with at least one the following architecture:

    • DSP - VLIW architecture (e.g. TI multi-core DSP, Intel VPU).

    • GPU (CUDA kernel + Deep learning processing)

    • Intel CPU SIMD instructions like SSE2,SSE3,SSE4,AVX,AVX2,AVX512,AVX512+VNNI

    • ARM optimization with NEON instruction set

    • HLS for image processing 

    • Tensilica/CEVA/SnapDragon/IP DSP core -   based processor with SOC

    • Hybrid HW architecture (i.e ZYNQ, TI Multi-Core SOC ARM + DSP)  

    • Experience in developing of Image processing algorithm building blocks like Registration, Segmentation, Tracking, Detection, Denoising, Computer-Vision, Machine-Learning, 3D -Stereo-Vision, Camera-Calibration, 3D Reconstruction, SLAM , Analytic, Motion detection, ADAS

  • Experience in developing in one of the following:

    • Advanced SOC – System on chip   , including high data rate interfaces (proprietary channels , PCIe ,SRIO , optic channels etc.)

    • Advanced SOM which integrate both HW fast interface with tight real time image processing

    • HPC which integrate image acquisition board + image processing with real time requirement

  • Deep knowledge with various HW aspects like PCIe , DDR  utilization , serial fast interfaces etc

  • At least 7-10 years of C/C++ experience in complex real time systems

  • Excellent system vision and understanding, especially multi-discipline   and complex system

  • Excellent team work and ability to lead under non-authority environment while interfacing several groups and developers from HW, SW, System Solution architecture

  • Familiarity with AI markets latest trends / devices / system – advantages

  • Experience in Image processing or Distributed computing systems – Advantage


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