Senior Solutions Architect - HPC

November 1

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NVIDIA

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

10,000+

Description

• Assist and support customers using NVIDIA's HPC and AI technologies. • Work with a diverse set of scientific researchers, developers, and customers. • Partner with other solution architects, engineering, product and business teams. • Dynamically engage with developers and data scientists. • Help universities adopt creative solutions using NVIDIA technology. • Travel required to support customers.

Requirements

• MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 5+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs • Experience porting and/or optimization scientific applications targeting GPUs • Strong fundamentals in programming, optimizations and software design, especially in Python and C++ • Strong problem-solving and debugging skills • Excellent knowledge of theory and practice of Deep Learning at scale • Excellent presentation, communication and collaboration skills • Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, and communication runtime (MPI, NCCL, UCX, NVSHMEM) • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design • Experience working with engineering or academic research community supporting HPC or AI • Familiarity with distributed computing platforms, containers and scheduling tools

Benefits

• Equity and benefits