Senior Software Engineer - Cloud and Kubernetes

Posted Yesterday
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Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
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.
Summary Generated by Built In

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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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