Senior Kubernetes Software Engineer

Reposted Yesterday
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Raanana
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop scalable, cloud-native solutions for HPC and AI workloads, collaborate on features, and maintain robust systems.
Summary Generated by Built In

NVIDIA is seeking an exceptional Senior K8s 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 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-native 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.

  • Support, maintain, and document robust software systems.

What we need to see:

  • BSc in Computer Science or equivalent program.

  • 5+ years of software development experience with Go and Python.

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

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

  • Proven ability to design, 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.

NVIDIA is 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. If you're creative and autonomous, we want to hear from you!

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.

Top Skills

Ci/Cd
Connectx
Dpus
Git
Gitlab
Go
Gpus
Jenkins
Kubernetes
Python
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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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