NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to GO and Kubernetes, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous and love having fun, we want to hear from you!
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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience
- 8+ years of relevant work experience
- Expert-level knowledge of a systems programming language such as Go or C
- Strong understanding of data structures and algorithms
- Strong understanding of Kubernetes and container technology
- Knowledge and experience with Linux operating system internals
- Strong background in cloud computing and distributed software design and development
- Understanding of performance, security, and reliability in complex distributed systems
- Strong experience with Go, containers, and Kubernetes
- Recent technical contributions to CNCF and Kubernetes SIG projects
- Experience with the Kubernetes Operator framework, Container Device Interface, and Dynamic Resource Allocation
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.”
