Kubernetes Systems Engineer Equity & Health

NVIDIA AI; Seattle (WA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Equity

Health Insurance

Job summary

NVIDIA AI in Seattle is seeking a recent graduate to join the performance and scalability team. You will analyze the Kubernetes-based accelerated runtime stack and work with researchers to design automated workload tests.

You will integrate performance testing into CI/CD workflows and contribute to large-scale system optimizations, using Golang or Python. This hands-on role offers exposure to cutting-edge AI workloads and open source tooling.

Qualifications

• Recent graduates with a degree in Engineering or equivalent experience preferred.
• Ideally in Electrical, Computer Engineering, or Computer Science.
• Experience in Kubernetes, large-scale systems; proficiency in Golang or Python.

Responsibilities

• Work on performance and scalability analysis across the Kubernetes-based accelerated runtime stack, including NVIDIA components.
• Collaborate with AI researchers and developers to design automated workload tests and integrate performance testing into CI/CD workflows.

Skills

Kubernetes

Golang

Python

Computer Architecture

Networking

Storage Systems

Performance Optimization

Distributed Systems

AI Workloads

Open Source

Cloud Computing

Performance Modeling

Benchmarking

Confidential Containers

CI/CD

Monitoring Tools

Education

Electrical Engineering degree

Computer Science degree

Engineering degree or equivalent

Job description

NVIDIA AI in Seattle is seeking a recent graduate to join the performance and scalability team. You will analyze the Kubernetes-based accelerated runtime stack and work with researchers to design automated workload tests.

You will integrate performance testing into CI/CD workflows and contribute to large-scale system optimizations, using Golang or Python. This hands-on role offers exposure to cutting-edge AI workloads and open source tooling.