Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Cloud Functions (NVCF) is an open-source platform that links workloads to GPUs. It lets teams deploy, manage, and serve GPU-accelerated, containerized applications across regions and clusters worldwide. The platform routes inference, streaming, and batch jobs across decentralized GPU clusters. This allows endpoints to scale repeatably, whether hosted on-prem or in the cloud.
We are seeking a Senior Systems Software Engineer to join our team. You will focus on improving the performance, reliability, and scaling behavior of a system that routes AI workloads onto distributed GPU fleets. You will work on a polyglot platform that is now fully open source, with both control plane and edge deployments. The work suits someone with deep experience in systems performance, distributed systems, and Kubernetes-based runtimes. We are looking for engineers who want to learn and grow. Expect to be challenged in an environment with rapidly shifting priorities, where insight, focus, and execution are key.
What you will be doing:
You'll be working in a distributed team that explores innovative ways to make GPU- and DPU-accelerated applications easier to develop, deploy, and monitor on the latest and greatest NVIDIA hardware.
Design and ship services in Java, Go, and Rust, building in the open on a public repository where your commits, design proposals, and reviews are transparent to the community.
Work on automating and optimizing build, test, integration, and release processes for cloud native.
Partner with engineering teams across NVIDIA so the platform integrates with adjacent NVIDIA technologies, including the KAI Scheduler, NVIDIA NIM, Grove, and Dynamo.
Help steward an open-source project. You will triage community issues and pull requests and write docs contributors can build on.
Bachelor’s or Master’s Degree in Computer Science or equivalent experience
3+ years of hands-on software engineering.
Expert-level knowledge in a systems programming language (Go, C, Rust) and a proven understanding of Data Structures, Algorithms, and Distributed Software Architecture
Strong understanding of container orchestration systems (Kubernetes) and container technologies with hands-on automation experience in continuous integration frameworks like GitLab & ArgoCD.
Expertise in a scripting language (Bash, Python) and knowledge and experience working with the system internals of Unix/Unix-like kernels such as Linux.
Understanding of performance, security, and reliability in complex distributed systems.
Background with pub-sub models and message queues
Experience optimizing for high-throughput network paths, with a working understanding of unary versus streaming and bidirectional protocols across HTTP/2 and gRPC.
Experience with developing Kubernetes Custom Resources and Operators deployed in Cloud Service Providers
With competitive salaries and a generous benefits package, NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the industry working for us. Due to unprecedented growth, our exclusive engineering teams are expanding rapidly. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
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 equivalent experience
- 3+ years of hands-on software engineering experience
- Expert-level knowledge in a systems programming language such as Go, C, or Rust
- Understanding of data structures, algorithms, and distributed software architecture
- Strong understanding of Kubernetes and container technologies
- Hands-on automation experience with continuous integration frameworks such as GitLab and ArgoCD
- Expertise in a scripting language such as Bash or Python
- Knowledge and experience with Unix or Unix-like kernel internals, including Linux
- Understanding of performance, security, and reliability in complex distributed systems
- Experience with pub-sub models and message queues
- Experience optimizing high-throughput network paths and understanding unary, streaming, and bidirectional protocols across HTTP/2 and gRPC
- Experience developing Kubernetes Custom Resources and Operators deployed with cloud service providers
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.”
