Principal Engineer, Cloud Site Reliability Engineering

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
83 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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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 · Principal Engineer, Cloud Site Reliability Engineering

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JOB TITLE: Principal Engineer, Cloud Site Reliability Engineering The Principal Engineer, Cloud Site Reliability Engineering joins the Cloud Infrastructure Team within the Infrastructure, Planning and Process organization. This role serves as an SRE Architect for the GPU Private Cloud team, supporting internal development teams with interactive development, centralized CI/CD, and QA testing. Key responsibilities include architecting end-to-end CI/CD systems, identifying performance bottlenecks in AI development systems, and leading software development projects to optimize workflows. The candidate will utilize Java, Python, Shell-script, and REST APIs while managing SQL/NoSQL databases like MySQL, Cassandra, and MongoDB. Technical requirements include experience with Docker, Kubernetes, OpenStack, Chef, Puppet, and Kafka. The role addresses the technical challenge of managing distributed infrastructure for various operating systems and hardware platforms to support large-scale automated jobs.

Skills

Python Java Shell-script Kubernetes Docker OpenStack CI/CD SQL NoSQL MySQL Cassandra MongoDB Elasticsearch Kafka Hadoop Ceph SwiftStack Git Perforce JFrog REST APIs Linux Virtual Machines LXC Machine Learning Deep Learning

What you'll do

  • Architect, implement, and support end-to-end CI/CD systems using open-source and proprietary software.
  • Develop software solutions to optimize critical software development workflows across various internal organizations.
  • Onboard internal development teams to the private cloud infrastructure by identifying specific use cases and solutions.
  • Identify performance bottlenecks to optimize the speed and cost efficiency of AI development and testing systems.
  • Lead software development projects and provide technical direction to a team of engineers.
  • Craft and implement critical metrics using various analytics methods and dashboards.
  • Resolve complex problems and issues within large-scale software systems.

What we're looking for

  • BS or MS in Electrical Engineering, Computer Science, or a relevant field (or equivalent experience).
  • 15+ years of systems software development experience.
  • At least 1 year of experience dedicated to developing or exploring AI.
  • Experience maintaining cloud infrastructure and highly available production environments.
  • Strong programming skills in JAVA, Python, and Shell-script with an understanding of distributed systems and REST APIs.
  • Experience with SQL/NoSQL databases such as MySQL, Cassandra, MongoDB, or Elasticsearch.
  • Working experience with Docker containers, Virtual Machines, OpenStack, Kubernetes, and Chef/Puppet.
  • Depth in AI, Machine Learning, and Deep Learning algorithms and techniques (preferred).

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