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 Rust and Go, 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 being 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 is 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.
- 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, Rust) and solid understanding of Data Structures and Algorithms.
- Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
- Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
- Strong background in Cloud Computing and Distributed Software design and development.
- Understanding of performance, security, and reliability in complex distributed systems.
- Strong experience with Rust and Go programming languages.
- Real-world strong hands-on experience with Containers and Kubernetes.
- Proficient with Kata Containers and Container sandboxing technologies
- Well-versed in Attestation concepts, Key Broker Service, etc.
- Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.
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 other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.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, a related field, or equivalent experience
- 8+ years of relevant work experience
- Expert-level knowledge of a systems programming language such as Go or Rust
- Strong understanding of data structures and algorithms
- Strong understanding of Kubernetes and container technology
- Expert knowledge of Unix or Unix-like kernel system internals, such as Linux
- Strong background in cloud computing and distributed software design and development
- Understanding of performance, security, and reliability in complex distributed systems
- Strong experience with Rust and Go
- Hands-on experience with containers and Kubernetes
- Proficiency with Kata Containers and container sandboxing technologies
- Knowledge of attestation concepts and Key Broker Service
- Knowledge of virtualization technologies, SR-IOV, and vGPU
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
