About the role

Aplyr's Quick Take

This role is for a Senior Data Center Network Deployment Engineer focused on deploying and maintaining large-scale AI data centers. You’ll be working hands-on with networking, storage, and compute systems, collaborating with various teams to optimize performance and develop automation scripts.

Good fit

Ideal candidates have over 8 years of networking experience, a strong understanding of data center architecture, and proficiency in both Windows and Linux environments. A proactive, independent work style and the ability to prioritize tasks are essential.

Worth noting

The role emphasizes collaboration with scientific researchers and developers, which may appeal to those interested in cutting-edge AI technologies. The requirement for extensive experience and specific technical skills could be a barrier for less experienced candidates.

NVIDIA is looking for a Data Center Network Deployment Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a network/system engineer to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing.

You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you!

What you'll be doing:

Deploy, manage and maintain large scale AI Data Centers - control, network and storage stack
Work with multiple software and hardware teams to optimize the clusters networking health and performance
Develop and implement automation scripts for network, compute and storage operations and deployments
Supporting Research & Development activities and engaging in POCs/POVs for future improvements

What we need to see:

B.Sc. in Engineering or CCNP certificate
8+ years of proficiency in networking fundamentals, configuring ethernet switches, understanding the TCP/IP stack, and data center architecture.
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.
Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements.

Ways to stand out from the crowd:

Combination of interpersonal skills and technical competence
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
Experience with multiple storage solutions such as Lustre, GPFS, and newer and emerging storage technologies.
Automation tooling background (Ansible, Salt, Puppet etc.).

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!

#LI-Hybrid

Skills & Tags

data

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?

About NVIDIA

NVIDIA

nvidia.com

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NVDA$204.87+2.22%

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.