Senior HPC Architect

Yesterday

Apply Now

Receive Emails with Similar Jobs

NVIDIA

WebsiteLinkedInAll Job Openings

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

10,000+

Description

• Be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. • Provide insights on and implement at-scale system administration and tuning mechanisms for large-scale compute runs. • You will work with the latest accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. • Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community.

Requirements

• 5+ years of experience using in accelerated computing for datacenter/HPC solutions. • Solid understanding of accelerated computing scheduling and I/O stacks. • Experience using and handling HPC-based Enterprise computing architectures. • C/C++/Python/Bash programming/scripting experience. • Experience working with engineering or academic research community supporting high performance computing or deep learning. • Background with scheduling and resource management systems. • Experience with parallel filesystems. • Strong verbal and written communication skills. • Strong teamwork and communication skills. • Ability to multitask effectively in a dynamic environment. • Action driven with strong analytical and analytical skills. • Desire to be involved in multiple diverse and innovative projects.

Benefits

• Highly competitive salaries • Comprehensive benefits package