PhD Research Intern, Computer Architecture and Systems

October 22

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Develop algorithms and design hardware and software extending the state of the art in computing, graphics, media processing, and other technology areas surrounding NVIDIA's business. • Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. • Deliverable results include prototypes, patents, leading to products and publications. • Produce technology vision and the basis for products 5-10 years out. • Focus should not be on products currently shipping or in development, except as to how they can be extended and improved.

Requirements

• Currently pursuing a PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math). • Research experience in at least one of the following areas: Computer Architecture, Operating Systems, Compilers, HPC Systems, Parallel Computing, Distributed Computing, Networks - Large Scale System Design, Topologies, Routing protocols, Network Management, Resilience, Power Management, Resource Disaggregation, ASIC and VLSI, ASIC and VLSI Design Techniques, Machine Learning Accelerator Approaches. • Excellent programming skills in one or more of the following: C, C++, Perl, Python, and Rust. • Familiarity with CUDA. • A strong publication, patent, presentation, and research collaboration history is a plus. • Excellent communication skills.

Benefits

• Intern benefits