Senior HPC AI Cluster Engineer

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $176,000–$276,000 / yr
Employment: Full-time
Posted: 68 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k

This role $226k

$148k $290k

below market most similar roles pay here above market

This role pays more than 64% of similar roles. Most pay $168,315–$235,750 — the blue band above. At the midpoint, this role pays about $226k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior HPC AI Cluster Engineer

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The Senior HPC AI Cluster Engineer joins the Networking Clusters Solutions Infrastructure team to build supercomputers and AI clusters using groundbreaking technologies. This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, including managing Linux job schedules, orchestration tools, and continuous integration pipelines. You will develop automation tools for infrastructure management, deploy monitoring solutions for servers, networks, and storage, and perform bottom-up troubleshooting from bare metal to the application level. Required skills include experience with Slurm, K8s, Redhat, Ubuntu, and networking protocols like InfiniBand and Ethernet. You must possess knowledge of storage solutions like Lustre and GPFS, along with Python, Bash, Ansible, and Jenkins. The work focuses on architecting performance platforms for large-scale compute runs and deep learning software.

Skills

HPC AI Python Bash Kubernetes Slurm Ansible Jenkins CUDA InfiniBand RDMA Lustre GPFS Weka.io Linux Windows AWS Azure Google Cloud VMware KVM Ethernet

What you'll do

Design, implement, and maintain large-scale HPC and AI clusters with monitoring, logging, and alerting.
Manage Linux job schedules and workload orchestration tools like Slurm and Kubernetes.
Develop and maintain continuous integration and delivery pipelines for infrastructure.
Create automation tools for deployment, management, and self-service consumption of large-scale resources.
Deploy monitoring solutions for servers, networking, and storage systems.
Perform bottom-up troubleshooting from bare metal through the operating system to the application level.
Develop and document standard methodologies to share technical resources with internal teams.
Support R&D activities and engage in POCs and POVs for future infrastructure improvements.

What we're looking for

A degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of experience in HPC and AI solution technologies including CPUs, GPUs, and high-speed interconnects.
Experience with job scheduling workloads and orchestration tools such as Slurm and K8s.
Excellent knowledge of Windows and Linux networking, internals, ACLs, and OS-level security.
Experience with multiple storage solutions such as Lustre, GPFS, and Weka.io.
Proficiency in Python programming and bash scripting.
Experience with automation and configuration management tools such as Jenkins, Ansible, and Puppet/Chef.
Deep knowledge of Networking Protocols like InfiniBand and Ethernet.

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