Senior Systems Software Engineer, Containers and Kubernetes
Skills
About the role
What you will be doing:
You'll be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor.
Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.
Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.
Proficiently multitasking on different tracks to efficiently address evolving priorities.
What we need to see:
BS/MS in Computer Science, or related field (or equivalent experience).
8+ years of relevant work experience.
Expert level knowledge in a systems programming language (Go, C) and solid understanding of Data Structures and Algorithms.
Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
Knowledge and experience working with System internals of the Linux Operating System.
Strong background in Cloud Computing and Distributed Software design and development.
Understanding of performance, security and reliability in complex distributed systems.
Ways to stand out from the crowd:
Strong experience with Go programming language, Containers and Kubernetes.
Active recent participation and consistent technical contributions to CNCF and Kubernetes SIG projects.
Experience with K8s Operator framework, Container Device Interface (CDI) and Dynamic Resource Allocation (DRA).
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Questions about this role
How do I apply to this Senior Systems Software Engineer, Containers and Kubernetes role at NVIDIA?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Software Engineer in United States?
Compensation for Software Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Software Engineer hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does NVIDIA use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.