Solutions Architect, Networking - Cloud Service Providers

2 Months ago • 5 Years + • Research & Development • Network Engineering • $148,000 PA - $287,500 PA

Job Summary

Job Description

NVIDIA seeks a Solutions Architect specializing in networking for cloud service providers. This role involves developing and demonstrating accelerated computing networking solutions for AI/ML and HPC with hyperscaler customers. Responsibilities include collaborating with customers to debug issues, lead feature requests, coordinate co-engineering programs, and identify business opportunities. The architect will serve as a technical resource, build PoCs, deliver technical content, and analyze/develop solutions for performance issues. The ideal candidate possesses strong networking expertise, experience with datacenter design, and proficiency in relevant programming languages.
Must have:
  • 5+ years of engineering experience
  • Expertise in dense datacenter design
  • Ethernet L2-L7 networking protocol stack knowledge
  • Excellent communication skills
  • Experience with Cloud/Hybrid Cloud Network
Good to have:
  • Experience with Ethernet Switch software
  • RDMA/RoCE and hard-working NICs experience
  • GPU and Networking systems experience
  • Proficiency in Python, Ansible, Go, C/C++, Bash, Linux, Windows
  • Experience with DPDK, IP Sec, HPC, Cloud Native Projects, Kubernetes, Slurm
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA is building the world’s leading AI company, and we are looking for an experienced Solutions Architect to focus on networking and help develop accelerated computing networking solutions for AI/ML and HPC with our Hyperscaler customers. As part of the NVIDIA Solutions Architecture team, you will work closely with strategic customers, offering technical expertise and support for both hardware and software solutions aligned with our product strategy.

What you’ll be doing:

  • Working with Cloud Solution Provider customers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. A huge part of the day to day job is to help customers debug issues, lead feature request processes, and coordinate the co-engineering program.

  • Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

  • Be the go-to technical resource for customers building large-scale AI infrastructure as well as helping them understand performance characteristics for solutions.

  • Work with customers to build PoCs for solutions to address critical business needs.

  • Prepare and deliver technical content to customers including presentations, workshops, etc.

  • Analyze and develop solutions for customer performance issues for both AI workload and systems performance.

What we need to see:

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

  • 5+ years of engineering (performance/system/solution) experience.

  • Expertise with dense datacenter design including networking, compute and storage. Familiarity with Cloud and hybrid cloud Network.

  • Experience with Ethernet L2-L7 networking protocol stack.

  • Ability to multitask efficiently in a complex environment, ability to work with teams across geographical locations.

  • Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

Ways to stand out from the crowd:

  • Deep understanding and hands-on experience with Ethernet Switch software solution and data center production network.

  • Extensive experience with RDMA/RoCE and hard-working NICs.

  • Hands-on experience with GPU and Networking systems in general including but not limited to performance testing/tuning, benchmarking, etc.

  • Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows.

  • Demonstrate expertise through developed projects or Open Source contributions in DPDK, IP Sec, HPC, Cloud Native Projects, Kubernetes, Slurm for enabling GPU workloads as well as experience in supporting Deep Learning, Machine Learning or HPC networking

#LI-Hybrid

The base salary range is 148,000 USD - 287,500 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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