Senior Solutions Architect, Infiniband and Networking Ethernet - NVIS

Posted:
10/8/2024, 8:05:15 AM

Experience Level(s):
Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Remote

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems.

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialst Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!

What you'll be doing:

  • Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.

  • Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.

  • Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.

  • Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

  • Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

  • BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

  • 8+ years of experience with configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance including medium to large scale HPC/AI network environments.

  • Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).

  • Driven focus on customer needs and satisfaction. Self-motivated with excellent leadership skills including working with customers.

  • Extensive knowledge of automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python.

  • Strong written, verbal, and listening skills in English are essential.

Ways to stand out from the crowd:

  • Linux or Networking Certifications.

  • Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work.

  • Proven knowledge of Python or Bash. Infrastructure Specialist's delivery experience

  • luster management technologies knowledge (bonus credit for BCM (Base Command Manager).)

  • Experience with GPU (Graphics Processing Unit) focused hardware/software.

  • Experience with MPI (Message Passing Interface.)

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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality