Hybrid Remote Senior AI Infra Engineer – Kubernetes Scale

NVIDIA Gruppe; Santa Clara (CA); Hybrid; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity and benefits package

Hybrid work preference with remote options

Job summary

NVIDIA Gruppe is seeking a Senior Systems Software Engineer for its DGX Cloud organization, tasked with shaping AI infrastructure for large-scale, cost-effective deployments. Your focus will be on performance and scalability of AI workloads on Kubernetes-based systems.

The role requires extensive experience in computer architecture and Kubernetes. A strong background in performance optimization and distributed systems will be essential. Join NVIDIA to drive innovation in AI technology.

Qualifications

• 8+ years of experience in computer architecture and networking.
• Deep experience with large-scale, parallel, distributed systems.
• Expertise with at least one major public cloud provider.

Responsibilities

• Lead performance analysis across Kubernetes-based accelerated runtime stack.
• Design architectural changes to the Kubernetes control plane.
• Collaborate with AI researchers and customers to enhance performance.

Skills

Kubernetes

Golang

Python

Computer Architecture

Networking

Storage Systems

Performance Optimization

Distributed Systems

Education

Bachelor's or Master's degree in Engineering or equivalent

Job description

NVIDIA Gruppe is seeking a Senior Systems Software Engineer for its DGX Cloud organization, tasked with shaping AI infrastructure for large-scale, cost-effective deployments. Your focus will be on performance and scalability of AI workloads on Kubernetes-based systems.

The role requires extensive experience in computer architecture and Kubernetes. A strong background in performance optimization and distributed systems will be essential. Join NVIDIA to drive innovation in AI technology.