Solutions Architect, HPC Systems Engineer

1 Month ago • 5 Years + • Network Engineering • $148,000 PA - $235,750 PA

Job Summary

Job Description

NVIDIA seeks an experienced Solutions Architect & HPC Systems Engineer to drive the deployment of AI hardware and software solutions in customer data centers. Responsibilities include working with AI Native, Consumer Internet, and IT Services clients on large-scale GPU server and networking deployments; guiding network design and compute/storage; supporting server/network/cluster deployments (including on-site visits); providing technical expertise on advanced GPU & network systems; guiding product roadmap features based on customer requirements; identifying new project opportunities; collaborating with engineering, product, and sales teams; serving as a customer technical advisor; building product demonstrations; analyzing and debugging performance issues; and ensuring high-performing clusters. The role requires strong systems engineering skills, experience with GPU/network systems, and excellent communication.
Must have:
  • BS/MS/PhD in relevant field or equivalent experience
  • 5+ years of Systems/Solution Engineering experience
  • Expertise in CPU/GPU server architecture, NICs, Linux
  • Networking switch knowledge (Ethernet/Infiniband)
  • Data center infrastructure knowledge (power/cooling)
  • Effective time management and multitasking
Good to have:
  • External customer-facing background
  • Large cluster deployment experience
  • C/C++, Linux kernel and driver experience
  • Experience with NVIDIA GPU systems/SDKs (CUDA)
  • NVIDIA Networking technologies (NICs, RoCE, InfiniBand)
  • ARM CPU solutions experience
  • Virtualization technology knowledge
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap.

What you will be doing:

  • Working with NVIDIA AI Native, Consumer Internet and IT Services customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.

  • Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.

  • Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams

  • Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions

  • Build custom product demonstrations and POCs for solutions that address critical business needs of our customers

  • Analyze and debug compute/network configuration, performance issues to deliver performant clusters

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 5+ years of Systems/Solution Engineering (or similar Engineering roles) experience

  • System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers

  • Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes

  • Effective time management and capable of balancing multiple tasks

  • Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc

Ways to stand out from the crowd:

  • External customer facing background

  • Experience with bringup and deployment of large clusters

  • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers

  • Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions

  • Familiarity with virtualization technology concepts

We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!

NVIDIA is widely considered to be one of the technology world’s 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!

The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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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