Senior HPC Systems Engineer

8 hours ago

Santa Clara, California, United States NVIDIA Full time
About NVIDIA

NVIDIA has been a pioneer in computer graphics, PC gaming, and accelerated computing for over 25 years. Our legacy of innovation is fueled by great technology and amazing people. Today, we're pushing the boundaries of AI to define the next era of computing.

Job Summary

We're seeking an exceptional Senior HPC Systems Engineer to join our team. As a key player in our most exciting computing hardware and software, you'll contribute to the latest breakthroughs in artificial intelligence and GPU computing. Your expertise will help us craft improved workflows and develop new, leading differentiated solutions.

Key Responsibilities
  • Lead all aspects of implementing performance practices in large-scale infrastructure, delivering powerful tools, methodologies, and flows to validate and improve several datacenter products in parallel.
  • Accelerate strategic customer deployments and ensure speed-of-light bringup and deployment of ground-breaking AI infrastructure by working hand-in-hand tailoring design and faster processes to customer needs.
  • Provide engineering solutions to enable large-scale performance strategies for performance for Datacenter GPU Computing products and software stacks, ensuring technical relationships with internal and external engineering teams, and assisting systems engineers in building creative solutions based on NVIDIA technology.
  • Participate in engagements with various SW and FW (BMC/SBIOS/OS/drivers etc) teams to develop best-in-class practices and tools, analyzing, debugging, and resolving critical software issues for the best AI workload performance at scale.
  • Own the architecting of performance design and settings of datacenter at scale products both implemented in FW and SW components to ensure velocity and scale while efficiently using resources.
Requirements
  • 5+ years of experience in using accelerated computing for datacenter container computing solutions.
  • BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable (or equivalent experience).
  • Solid understanding of accelerated parallel computing models (MPI, NCCL).
  • Experience using and handling modern Cloud and container-based Enterprise computing architectures.
  • C/C++/Python/Bash programming/scripting experience.
  • Experience with CPU architecture.
  • Experience with container technology and Linux-based OSes.
  • Experience working with engineering or academic research community supporting high-performance computing or deep learning.
  • Strong verbal and written communication skills as well as excellent teamwork and communication skills.
  • Ability to multitask effectively in a dynamic environment.
What We Offer

NVIDIA offers highly competitive salaries and a comprehensive benefits package. As one of the technology world's most desirable employers, we're committed to fostering a diverse work environment and proud to be an equal opportunity employer.

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