NVIDIA's Deep Learning Optimized Frameworks Group is looking for a deeply technical HPC cluster administrator to lead a diverse cluster of GPU-accelerated systems and provide architectural mentorship to product teams in the deep learning and scientific computing domains. As a member of the DLFW Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute cluster that runs demanding deep learning, high performance computing, and computationally intensive workloads. We are looking for an expert to identify architectural changes and/or completely innovative approaches for our GPU Compute Cluster. In this role, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large-scale, high-performance workloads and effective resource utilization in a heterogeneous compute environment.
What you'll be doing:
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Administer Linux systems, ranging from powerful DGX servers to embedded systems, bringup hardware to publicly available systems.
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Coordinate Storage Solutions and plan for growth.
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Automate configuration management, software updates, and maintenance and monitoring of system availability using modern DevOps tools (Ansible, Gitlab, etc.)
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Actively connect with management regarding any problems with the equipment and propose resolution.
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Plan, build and install/upgrade new systems that support NVIDIA DL Software
What we need to see:
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You have a BA, BS, or MS in CS, EE, CE or equivalent experience
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4+ years of previous experience deploying and administrating HPC clusters
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Familiar with resource scheduling managers (Slurm (preferred), LSF, etc!
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Proven track record to script in bash, Perl or python
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Experience with containers (Docker, Singularity, LXC)
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Deep understanding of operating systems, computer networks, and high-performance applications
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Ability to work well with developers & test engineers
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Hard-working dedication to provide quality in support for your users
Ways to stand out from the crowd:
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Familiarity and prior work experience with technologies such as: Ansible, GIT, Slurm, Zabbix, Prometheus, Grafana and Docker
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Familiarity with GPU usage in Compute Cluster and Cuda
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Experience with mobile and embedded systems
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Basic knowledge of Deep Learning.
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Experience coding/scripting in Perl/Python/bash
The base salary range is 148,000 USD - 230,000 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
