Senior HPC Systems Engineer

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins.
$148,000 - $287,500
Cloud
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
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Description For Senior HPC Systems Engineer

NVIDIA, a pioneer in accelerated computing for over 25 years, is seeking a Senior HPC Systems Engineer to drive innovation in AI system performance and datacenter applications. This role offers an opportunity to work with cutting-edge GPU computing technology and contribute to breakthroughs in artificial intelligence. The position involves leading performance optimization for large-scale infrastructure, working with the latest Accelerated Computing and Deep Learning platforms, and collaborating with researchers and developers worldwide.

The ideal candidate will have 5+ years of experience in accelerated computing for datacenter solutions, with expertise in parallel computing models and container-based architectures. They will be responsible for architecting performance designs, implementing best practices, and serving as a technical reference for GPU-accelerated system solutions. The role combines hands-on technical work with strategic customer engagement, requiring both deep technical knowledge and strong communication skills.

NVIDIA offers a competitive compensation package with a base salary range of $148,000 - $287,500, plus equity and comprehensive benefits. The company is known for its innovative culture and commitment to pushing technological boundaries in AI, gaming, and accelerated computing. This role presents an exceptional opportunity to work with world-class talent and make a lasting impact on the future of computing technology.

Last updated 4 months ago

Responsibilities For Senior HPC Systems Engineer

  • Lead implementation of performance practices in large scale infrastructure
  • Deliver tools, methodologies, and flows to validate and improve datacenter products
  • Accelerate strategic customer deployments of AI infrastructure
  • Provide engineering solutions for large scale performance strategies
  • Participate in engagements with SW and FW teams
  • Architect performance design and settings of datacenter at scale products
  • Be an internal reference for software and large-scale GPU-accelerated system solutions

Requirements For Senior HPC Systems Engineer

Python
Linux
  • BS in Engineering, Mathematics, Physics, or Computer Science (MS or PhD desirable)
  • 5+ years of experience in using accelerated computing for datacenter container computing solutions
  • 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
  • Ability to multitask effectively in a dynamic environment

Benefits For Senior HPC Systems Engineer

Medical Insurance
Equity
  • Competitive base salary
  • Equity
  • Comprehensive benefits package

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