Kubernetes Scale Engineer for AI Cloud Systems

NVIDIA; Indiana (PA); On-site; USD 100,000 - 135,000; Full time

Job summary

The DGX Cloud organization at NVIDIA is seeking an experienced engineer to drive performance and scale characterization for the software stack. This role involves working with complex distributed systems and collaborating with AI researchers to enhance performance.

Applicants should have a strong background in computer architecture and Kubernetes, along with proficiency in Golang or Python. NVIDIA offers a dynamic environment for tackling innovative challenges in AI technology.

Qualifications

• 2+ years of experience in Computer Architecture, Networking, Storage systems, or Accelerators.
• Expertise in Kubernetes and familiarity with related CNCF projects.
• Background in working with large-scale parallel and distributed systems.

Responsibilities

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack.
• Collaborate with AI researchers to develop automated tests simulating real user workloads.
• Identify and resolve root causes of performance and scale issues.

Skills

Computer Architecture

Networking

Storage systems

Kubernetes

Golang

Python

Performance modeling

AI workloads

Education

Bachelor's/Master's in Engineering

Tools

CNCF projects

AWS

GCP

Azure

OCI

Job description

The DGX Cloud organization at NVIDIA is seeking an experienced engineer to drive performance and scale characterization for the software stack. This role involves working with complex distributed systems and collaborating with AI researchers to enhance performance.

Applicants should have a strong background in computer architecture and Kubernetes, along with proficiency in Golang or Python. NVIDIA offers a dynamic environment for tackling innovative challenges in AI technology.