NVIDIA logo
NVIDIA Verified
Semiconductors, Artificial Intelligence, Computer Hardware, Software Development

Senior Software Engineer - Cloud and Kubernetes

California, United StatesOnsiteFull TimeSenior$184,000–$356,500 /yrPosted 2 months agoVisa sponsorship available

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Role summary

NVIDIA is seeking a Senior Software Engineer to design and build next-generation cloud platforms, focusing on scalable infrastructure powered by Kubernetes, ConnectX, BlueField NICs, and GPUs for HPC and AI workloads. The role involves hands-on development, system design, and collaboration within a fast-paced, innovative environment. Candidates should have 7+ years of experience in software development with Go/C/C++/Rust, strong K8s ecosystem knowledge, and experience with CI/CD tools. Familiarity with distributed systems and a background in HPC or AI infrastructure are highly valued.

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 March 26, 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.
, , JR2014757

Sample NVIDIA interview questions

  • 1

    Design a system for a rock paper scissors game

    system designmedium
  • 2

    Implement a distributed data migration management platform.

    system designmedium
  • 3

    Develop a distributed tracing system for tracking and debugging.

    system designmedium
  • 4

    Design a distributed training system for a trillion-parameter language model

    system designmedium
  • 5

    Design a system for an automation framework to generate a consent form using multiple agents

    system designaverage

Sign up for a personalized interview prep pack tailored to this role.

Ready to apply?
You'll be redirected to NVIDIA's application page.