NV Cloud Functions group delivers a powerful platform that seamlessly links workloads to GPUs, enabling the deployment, management, and serving of GPU-accelerated, containerized applications worldwide. This solution enables businesses to efficiently utilize and scale the applications seamlessly, in an increasingly fast-paced digital environment powered by NVIDIA DGX™ Cloud.
NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). For more details, check out NVIDIA DGX™ Cloud. NVIDIA is looking for a Senior Cloud Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, devops experience, a deep understanding of designing and building software, especially related to GO and C, 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 insights while strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better.
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.
Work on enabling GPUs and DPUs as first-class resources in Kubernetes container orchestrator.
This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment.
Work with engineering teams across NVIDIA to ensure your software integrates seamlessly with NVIDIA Cloud eco-system.
Automating and optimizing build, test, integration, and release processes for cloud native.
Efficiently multitasking with varied responsibilities to efficiently address evolving priorities.
What we need to see:
Bachelor’s or Master’s Degree in Computer Science or equivalent program from an accredited university/college, and 5+ years of hands-on software engineering.
Expert-level knowledge in a systems programming language (Go, C) and a solid understanding of data structures and algorithms.
Expertise in a scripting language (Bash, Python)
Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technologies.
Experience working with GitLab or a similar SCM
Hands-on Automation experience in continuous integration frameworks like GitLab & ArgoCD.
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.
Ways to stand out from the crowd:
Background with pub-sub models and message queues
Experience with developing Kubernetes Custom Resources and Operators, and deploying them in a cloud service provider
NVIDIA is committed to fostering a diverse work environment and is 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.
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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.”
