Similar Jobs Research Scientist FPGA-Deep Learning-Data Center

Job description

Job Description

Come join the Accelerator Architecture Lab inside Intel Labs at the center of an exciting revolution in machine learning, artificial intelligence, and new computing paradigms! We have openings for research scientists to work on a 1-year exciting project on next-generation FPGA acceleration technologies for emerging deep learning and data center workloads. This role offers a great opportunity to: 1 learn and become an expert in emerging deep learning and data center workloads, 2 make an impact on next-generation FPGA architecture, 3 gain broader insights across a range of accelerator technologies e.g., FPGA, CPU, GPU, ASIC, and 4 gain experience in advanced pathfinding and forward-looking research, which may lead to novel inventions and/or papers published at top conferences.The successful candidate will work on state-of-the-art deep learning and data center workloads, and evaluating them for current and next-generation FPGA acceleration technologies.

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

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Desired profile

Qualifications

Minimum Requirements:* 2+ years of experience in the following areas:* Digital design. Expertise in RTL e.g., Verilog* FPGA prototyping design, implementation, verification, debug, bring-up* Software application development and profiling* Computer architecturePreferred Qualifications:* Experience with Intel Stratix 10 FPGAs* Expertise in deep learning and/or data center workloads