Senior AI Data Platform Engineer – Multi-Cloud & Kubernetes

NVIDIA Corporation; Durham (NC); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Durham, NC is seeking an experienced engineer to design and build a multi-cloud AI data platform for large GPU workloads. You will focus on durable data pipelines and scalable storage across systems.

You will own Kubernetes-native integrations, quotas, data lifecycle, I/O telemetry, capacity planning, and production reliability, including on-call and incident prevention.

Qualifications

• A bachelor's or master's degree in CS/CE/EE or related field, or equivalent experience.
• 5+ years building production systems or data-infrastructure software.
• Experience with distributed file systems, large-scale object storage, or data pipelines.
• Strong I/O performance knowledge and production service improvement track record.
• Proficiency in Go, Rust, C, C++, and Python.

Responsibilities

• Design and build a multi-cloud AI data platform for large GPU workloads.
• Own Kubernetes-native integrations, quotas, data lifecycle, and I/O telemetry.
• Plan capacity and ensure production reliability, including on-call incident prevention.

Skills

Go

Rust

C

C++

Python

Kubernetes

Data Pipelines

I/O Performance

Production Reliability

Education

Bachelor's or Master's in Computer Science / Computer Engineering / Electrical Engineering or related field

Tools

Slurm

Kubernetes

Job description

NVIDIA Corporation in Durham, NC is seeking an experienced engineer to design and build a multi-cloud AI data platform for large GPU workloads. You will focus on durable data pipelines and scalable storage across systems.

You will own Kubernetes-native integrations, quotas, data lifecycle, I/O telemetry, capacity planning, and production reliability, including on-call and incident prevention.