NVIDIA is seeking a Senior Systems Software Engineer to build cloud-native platform software harnessing open-source container runtimes and Kubernetes. You will design and deliver capabilities that make GPU / DPU accelerated applications easier to develop, deploy, operate, and observe. We value strong programming skills, deep systems knowledge, distributed systems and DevOps experience, and the ability to turn ideas into high-quality, shippable software.
What you'll be doing:
Design and implement platform software enabling GPUs as first-class resources in Kubernetes.
Build features and integrations that streamline the lifecycle of accelerated Kubernetes clusters (build, scale, and monitor).
Collaborate across NVIDIA to ensure seamless integration throughout the software and hardware stack.
Automate and optimize build, test, integration, and release pipelines for cloud-native services.
Diagnose and improve performance, reliability, and security across complex distributed systems.
Manage multiple priorities while maintaining high code quality and clear documentation.
What we need to see:
BS/MS in Computer Science or related field, or equivalent experience.
8+ years of relevant software engineering experience.
Expert-level proficiency in a systems language and strong understanding of data structures and algorithms.
Strong understanding of container orchestration systems (K8s).
Expert knowledge and experience working with Unix/Linux.
Automation experience with configuration management and infrastructure as code.
Experience setting up, maintaining, and automating CI/CD systems.
Background in cloud computing and distributed system design and development.
Understanding performance, security, and reliability in distributed environments.
Ways to stand out from the crowd:
Broad experience with Golang and Kubernetes controllers.
Strong background with GitLab, Jenkins, and/or other CI/CD systems.
Significant hands-on production experience with containers and Kubernetes.
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. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, 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.
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.
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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.”
