Senior Systems Software Engineer, Cloud GPU Functions

NVIDIA AI; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA in Santa Clara is seeking a Senior Systems Software Engineer to improve performance, reliability, and scale of a cloud-native platform routing AI workloads across distributed GPU fleets.

You will design services in Java, Go, and Rust, work with Kubernetes-based runtimes, and contribute to open-source projects while collaborating with NVIDIA teams to integrate with KAI Scheduler, NIM, Grove, and Dynamo.

Qualifications

• Bachelor’s or Master’s Degree in Computer Science or equivalent.
• 3+ years of hands-on software engineering.
• Expert-level knowledge in Go, C, Rust; experience with Java.
• Strong understanding of data structures, algorithms, and distributed systems.
• solid grasp of Kubernetes and container technologies with CI automation experience (GitLab, ArgoCD).
• Proficiency in Bash and Python; Unix/Linux internals knowledge.

Responsibilities

• Design and ship services in Java, Go, and Rust for a distributed platform.
• Improve performance, reliability, and scaling of AI workload routing.
• Automate build, test, integration, and release in cloud-native pipelines.
• Collaborate with NVIDIA teams to integrate with KAI Scheduler, NVIDIA NIM, Grove, and Dynamo.
• Triages issues, contributes docs, and participates in open-source project governance.

Skills

Go

C

Rust

Java

Bash

Python

Education

Bachelor's or Master's Degree in Computer Science

Tools

Kubernetes

GitLab

ArgoCD

Job description

NVIDIA in Santa Clara is seeking a Senior Systems Software Engineer to improve performance, reliability, and scale of a cloud-native platform routing AI workloads across distributed GPU fleets.

You will design services in Java, Go, and Rust, work with Kubernetes-based runtimes, and contribute to open-source projects while collaborating with NVIDIA teams to integrate with KAI Scheduler, NIM, Grove, and Dynamo.