NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them.
Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI.
As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.
What you'll be doingDesign, implement, and upstream new capabilities for Kubernetes and CNCF projects.
Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation.
Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities.
Participate in architecture discussions, API design, technical proposals, and code reviews.
Build reliable, scalable infrastructure software for next-generation AI workloads.
Write clear technical documentation and design proposals.
B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience.
5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software.
Deep understanding of Kubernetes and the cloud-native ecosystem.
Experience extending, building, or contributing to Kubernetes-based solutions.
Strong communication skills and the ability to collaborate across engineering teams and open-source communities.
Curiosity, adaptability, and an interest in learning AI infrastructure.
Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects.
Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles.
Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes.
Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems.
Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking engineers in the industry solving the hardest infrastructure problems at global scale.
If you're excited about building the future of Kubernetes through open source and enabling the next generation of AI infrastructure, we'd love to hear from you.
Skills Required
- B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or related field, or equivalent practical experience
- 5+ years software engineering experience building distributed systems, cloud infrastructure, or platform software
- Deep understanding of Kubernetes and the cloud-native ecosystem
- Experience extending, building, or contributing to Kubernetes-based solutions
- Strong communication skills and ability to collaborate across engineering teams and open-source communities
- Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects
- Leadership experience in open-source communities (maintainer, reviewer, approver, SIG/WG leadership)
- Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals
- Experience with Kubernetes scheduling, networking, Gateway API, or workload APIs
- Understanding of AI infrastructure (inference systems, GPU scheduling, distributed serving, LLM infrastructure)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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