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Senior Solutions Architect, Infiniband and Networking Ethernet - NVIS

NVIDIANVIDIA·Semiconductors

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About the role

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist 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, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

  • At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture

  • Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments.

  • Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.

  • Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

  • Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.

  • Ability to develop CI/CD pipelines for network operations.

  • Strong focus on customer needs and satisfaction.

  • Self-motivated with leadership skills to work collaboratively with customers and internal teams.

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

Ways to stand out from the crowd:

  • Familiarity with cloud networks (AWS, GCP, Azure) is a plus.

  • Linux or Networking Certifications.

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

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

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

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$208.19-0.22%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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