Senior AI Infra & Kubernetes Architect

NVIDIA Corporation; Durham (NC); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Durham, NC is seeking experienced software engineers with Kubernetes expertise to scale AI infrastructure. You will contribute to production GPU clusters, implement GPU resource scheduling on Kubernetes, and build monitoring and health management to maximize reliability and performance.

This role requires 15+ years in a similar environment, strong knowledge of Go or Python, solid data structures and algorithms, and proven impact in a highly technical setting.

Qualifications

• Direct software engineering experience in a highly technical organization with demonstrable impact.
• Software development experience with Kubernetes APIs and frameworks, not just operating a cluster.
• 15+ years in similar role and experience on large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics or comparable degree or equivalent experience.
• Technical knowledge including a systems programming language (Go, Python) and solid understanding of data structures and algorithms.

Responsibilities

• Be part of the DGX Cloud team responsible for production systems enabling large scalable GPU clusters for AI workloads.
• Develop software related to scheduling GPU resources on Kubernetes.
• Implement monitoring and health management to maximize reliability, availability, and performance of AI infrastructure.
• Ingest and correlate data from GPU hardware diagnostics, cluster telemetry, and network data.
• Collaborate with teams across NVIDIA to ensure production clusters run reliably and with maximum performance.
• Evaluate system failures and drive improvements through a formal incident management process.

Skills

Kubernetes experience

Go

Python

Data structures & algorithms

Strong communication

Education

Bachelor's degree in CS or related field

Job description

NVIDIA Corporation in Durham, NC is seeking experienced software engineers with Kubernetes expertise to scale AI infrastructure. You will contribute to production GPU clusters, implement GPU resource scheduling on Kubernetes, and build monitoring and health management to maximize reliability and performance.

This role requires 15+ years in a similar environment, strong knowledge of Go or Python, solid data structures and algorithms, and proven impact in a highly technical setting.