HPC Lab Manager

3 Months ago • 3 Years + • Administrative

Job Summary

Job Description

NVIDIA seeks a HPC Lab Manager to join its Networking Cloud Solutions team. The role involves planning and building complex HPC clusters and supercomputers in various data centers and labs. Responsibilities include rack stacking, cable management, ensuring power and cooling efficiency, daily data center operations, and troubleshooting hardware and software issues (network, cabling, bare metal, operating systems). The manager will also support research and development activities and work with scientific researchers, developers, and customers. The ideal candidate will possess strong Linux troubleshooting skills and experience in managing large data centers.
Must have:
  • MCSE or MCITP/CCNA
  • 3+ years lab management experience
  • Linux troubleshooting expertise
  • Knowledge of core services (DHCP, DNS, etc.)
  • Teamwork and service-oriented approach
Good to have:
  • Bash/Python scripting
  • Configuration management tools (Ansible, Puppet)
  • CI/CD & job schedulers (Jenkins, SLURM)
  • Virtualization (KVM, VMware, Hyper-V)
  • L2 & L3 network protocols

Job Details

NVIDIA is looking for a HPC Lab manager to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.

What you will be doing:

  • Plan and build complex cluster and supercomputers in various of data center and labs

  • Rack stack and cable management to ensure efficient use of space and easy maintenance

  • Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization

  • Data centers and labs daily operation and support

  • Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI

  • Perform troubleshooting - network, optic cabling, bare metal, operating system.

  • Support Research & Development activities

What we need to see:

  • MCSE or MCITP/CCNA certification

  • 3+ years of experience as lab manager

  • Experience in supporting large and complex data centers

  • Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills.

  • In depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc.

  • Team Work, Service oriented, organized

Ways to stand out from the crowd:

  • Scripting experience in Bash and/or Python

  • Experience with configuration managements tools known in the community (e.g. Ansible, puppet)

  • CI & Known Job schedulers tools (e.g. Jenkins, SLURM)

  • Virtualization: KVM / VMware / Hyper-V

  • Experience with L2 & L3 network protocols

NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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