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NVIDIA

Designs the chips and software that power AI

Software Manager - Productivity Engineering and Software Tools

Full-TimeDeadline 9/14/26
$224k - $431.3k/yr+ Equity
Senior, Expert
Bachelor's, Master's
Santa Clara, CA, USA
In Person
Engineering ManagementEngineering Leadership
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A Master of Science in Electrical Engineering, Computer Science, or Computer Engineering, or a bachelor's degree or equivalent experience.
  • At least 4 years of experience managing Software Tools Engineering or Release Engineering teams.
  • At least 10 years of overall experience in software configuration management, software tools administration, and related areas.
  • Strong knowledge of build automation systems, software configuration management, and continuous integration systems such as Jenkins, GNU Make, Jira, and Git.
  • Understanding of Linux systems, the system boot process, kernel configuration, kernel modules, and package managers.
  • Strong programming knowledge using Python, Perl, or similar languages, and familiarity with database applications such as MySQL.
  • Strong communication and interpersonal skills and the ability to work in a dynamic, global team.
Responsibilities
  • Lead Cumulus Linux Release Engineering operations and own the tools and processes that improve developer productivity.
  • Lead a team of Software Engineers responsible for supporting and enhancing Cumulus Linux release software build infrastructure, packaging and installation, developer build environments, and other developer-productivity tools.
  • Own and improve engineering infrastructure services that support automated builds, including monitoring, troubleshooting, and issue resolution.
  • Maintain and enhance the Debian-based build environment, Makefiles, build scripts, and package repositories.
  • Execute code scans and static and dynamic analysis, and publish actionable results.
  • Partner with development and test teams to identify process improvements and deliver Python-based full-stack tooling that increases engineering productivity.
  • Build, operate, and evolve continuous integration pipelines across software components.
  • Scale engineering infrastructure to meet the growing needs of the Cumulus Linux research and development organization.
  • Work with Information Technology and NVIDIA DevOps teams to adopt best practices and deliver scalable infrastructure solutions.
Desired Qualifications
  • Experience building containerized applications with Docker and Kubernetes.
  • Experience with security features such as SELinux and Secure Boot.
  • Good knowledge of software engineering practices.

About the company

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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