Full-Time

Senior Devops Engineer

Accelerated Computing

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$184k - $356.5k/yr

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Seattle, WA, USA + 4 more

More locations: Urbana, IL, USA | Santa Clara, CA, USA | St. Louis, MO, USA | Westford, MA, USA

This is a hybrid position, requiring some in-office presence.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Python
Git
Groovy
Perl
C/C++
Development Operations (DevOps)
Linux/Unix
Requirements
  • 6+ years of relevant industry experience
  • Proficient with Linux
  • Bachelors degree in a related area of study or equivalent experience
  • Expert with scripting in one or more of Python, Perl, shell, Groovy, etc.
  • Strong background with deploying, configuring, and debugging distributed systems
  • Familiar with the software build process (read compiling C++ code with GNU Make, CMake, Visual Studio, MSBuild, etc.)
  • Background with some form of source control management (SCM), preferably git
  • Familiar with containers.
Responsibilities
  • Running a lot of builds and tests on a lot of architectures, operating systems, and devices.
  • Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all.
  • Building relationships that allow us to work together as a team, not a group.
  • Working in a highly dynamic environment where we have to think on our feet.
Desired Qualifications
  • Experience with HPC hardware systems such as compute clusters and HPC software performance benchmarking on such systems.
  • System administrator level experience with multi-user Linux servers.
  • Background with GPU accelerated systems.
  • Experience working in an environment where Agile processes and methodologies are used.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA's products work by providing powerful processing capabilities that enable complex graphics rendering and data analysis. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the usability of their products. The company's goal is to lead in AI and high-performance computing by continuously investing in research and development to deliver advanced solutions for a wide range of clients.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Gretel enhances AI training with robust synthetic data capabilities.
  • Integration of Augtera Networks boosts NVIDIA's data center networking efficiency.
  • Backing ClustroAI aligns with the trend of local device AI processing.

What critics are saying

  • Increased competition from AI cloud platforms like Lambda and Together AI.
  • Potential integration challenges with Gretel affecting operational efficiency.
  • Investment in ClustroAI may cannibalize NVIDIA's cloud-based AI solutions.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin creation.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
TechCrunch
Mar 19th, 2025
Nvidia reportedly acquires synthetic data startup Gretel | TechCrunch

Nvidia has reportedly acquired Gretel, a San Diego-based startup that's developed a platform to generate synthetic AI training data. Terms of the

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CoinCentral
Feb 19th, 2025
NVIDIA-Backed Edge AI Startup ClustroAI Raises $12M to Bring AI Processing to Local Devices - CoinCentral

San Francisco-based ClustroAI raised $12M in Series A funding to advance its edge AI technology that enables local device AI processing without cloud computing