NVIDIA Logo

NVIDIA

Senior Software Engineer - Cloud and Kubernetes

Reposted 18 Days Ago
In-Office or Remote
2 Locations
184K-357K Annually
Senior level
In-Office or Remote
2 Locations
184K-357K Annually
Senior level
Design and develop scalable cloud solutions for HPC and AI workloads, contributing to NVIDIA's AI supercomputing platforms and collaborating with teams to improve products.
The summary above was generated by AI

NVIDIA is seeking an exceptional Senior Software Engineer to help design and build our next-generation cloud platforms. We’re looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure powered by Kubernetes, ConnectX, BlueField NICs, and GPUs. You’ll join a dynamic team developing high-performance computing infrastructure used in some of the world’s largest supercomputers and data centers. This is a fast-paced, collaborative environment where you’ll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.

What you’ll be doing:

  • Design and develop scalable, cloud solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX).

  • Contribute to NVIDIA’s AI supercomputing platforms

  • Collaborate with cross-functional teams to deliver new features and improve existing products.

  • Design and develop robust software systems.

What we need to see:

  • BSc in Computer Science or equivalent experience.

  • 7+ years of software development experience with Go/C/C++/Rust.

  • Strong hands-on development experience with the K8s ecosystem.

  • Familiarity with CI/CD tools such as Jenkins, GitLab, or GitHub.

  • Proven ability to design, develop, debug, and maintain complex distributed systems.

  • Excellent communication skills and the ability to collaborate across teams and geographies.

  • Self-starter with adaptability and eagerness to learn new technologies.

Ways to stand out from the crowd:

  • Experience building K8s operators/controllers.

  • Background in HPC or AI infrastructure technologies.

  • Strong networking background

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 5, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

Similar Jobs

2 Hours Ago
Remote
United States
200K-250K Annually
Expert/Leader
200K-250K Annually
Expert/Leader
Artificial Intelligence • Blockchain • Professional Services • Security • Consulting • Cybersecurity • Defense
The Principal Security Engineer leads projects, drives technical vision, mentors engineers, engages in business development, and oversees security software development.
Top Skills: C++GoJavaPythonRust
5 Hours Ago
Remote or Hybrid
70K-84K Annually
Mid level
70K-84K Annually
Mid level
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Create, edit, and manage a library of training materials and eLearning assets for tax and licensing software. Collaborate with SMEs to produce guides, courses, videos, SCORM packages, in-app tours, and customer communications, ensuring brand and quality standards across publishing platforms.
Top Skills: Adobe AcrobatAdobe FramemakerAdobe PremiereArticulate Rise 360Articulate StorylineBoxCamtasiaGitHTMLMadcap FlareMarkdownMicrosoft WordNetSuiteScormSharepointSnagitThought Industries LmsXML
5 Hours Ago
Remote
United States
180K-220K Annually
Mid level
180K-220K Annually
Mid level
Software • Defense
Design and productize AI decision-making systems for a game engine, utilizing HTNs and GOAP to create intelligent behaviors for entities.
Top Skills: Goal-Oriented Action Planning (Goap)Hierarchical Task Networks (Htns)State MachinesVisual Scripting Editor

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account