Senior Systems Software Engineer - NVIDIA Cloud Functions

NVIDIA Cloud Functions (NVCF) is an Open Source Platform that links workloads to GPUs, enabling teams to deploy, manage, and serve GPU-accelerated, containerized applications worldwide.

As a Senior Systems Software Engineer, 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.

Responsibilities:

• Design and ship services in Java, Go, and Rust, building in the open on a public repository.
• Work on automating and optimizing build, test, integration, and release processes for cloud-native applications.
• Partner with engineering teams across NVIDIA to integrate the platform with adjacent NVIDIA technologies.
• Help steward an open-source project by triaging community issues and pull requests, writing documentation, and more.

Requirements:

• Bachelor's or Master's Degree in Computer Science or equivalent program from an accredited University/College and 6+ years of hands-on software engineering.
• Expert-level knowledge in a systems programming language (Go, Java, Rust) and 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 System internals of Unix/Unix-like kernels such as Linux.
• Understanding of performance, security, and reliability in complex distributed systems.

Preferred Qualifications:

• Experience 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.