Senior Systems Engineer: Kubernetes & Scale for DGX Cloud

Engg; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

NVIDIA’s DGX Cloud organization is seeking a Senior Systems Software Engineer to scale AI infrastructure across Kubernetes control planes, GPU Operator, and distributed inference serving. You will tackle performance and cost of ownership, working with NVIDIA components and open-source upstreams.

You will collaborate with researchers, developers and customers, build automated tests, and provide monitoring/analysis tools to ensure reliability at scale.

Qualifications

• 8+ years of experience in systems software or distributed systems.
• Expertise in Kubernetes and familiarity with CNCF projects.
• Proficiency in Golang and Python.
• Background with large-scale parallel and distributed accelerator-based systems.

Responsibilities

• Drive end-to-end performance and scale characterization for the software stack including Kubernetes control planes and NVIDIA components.
• Collaborate with researchers, developers and customers to develop automated tests simulating real workloads.
• Deep dive into performance and scale issues to identify root causes across distributed systems.
• Design and develop monitoring and analysis tools for performance testing across GPU/CPU resources.
• Triage and debug Kubernetes clusters at ultra-large scale; contribute to CI/CD pipelines.

Skills

Golang

Python

Kubernetes

Education

Bachelor or Master in Engineering

PhD in relevant areas

Job description

NVIDIA’s DGX Cloud organization is seeking a Senior Systems Software Engineer to scale AI infrastructure across Kubernetes control planes, GPU Operator, and distributed inference serving. You will tackle performance and cost of ownership, working with NVIDIA components and open-source upstreams.

You will collaborate with researchers, developers and customers, build automated tests, and provide monitoring/analysis tools to ensure reliability at scale.