AI Systems Engineer — 12‑Month Rotation Program

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 110,000 - 195,000; Full time

Job summary

NVIDIA is seeking enthusiastic new college graduates to join the Applied Systems Engineering (ASE) team in a 12-month rotation program. The role covers design, validation, and deployment of large-scale AI infrastructure and datacenter systems.

You will work across disciplines to build reference architectures, run end-to-end bring-up, and ensure production readiness. You will analyze telemetry, improve dashboards, and develop tools to detect issues and drive technical decisions.

Qualifications

• Bachelor’s or Master’s degree in a technical field such as CS, CE, ECE, Systems, Data Science, Math or Physics.
• Experience with software development or scripting in Linux, Bash, Python, C, C++, Java, or Go.
• Ability to analyze technical data, summarize findings, and communicate conclusions clearly.
• Interest in large-scale systems, AI infrastructure, datacenter systems, hardware/software integration, or distributed computing.
• Strong collaboration and communication skills to work across engineering teams.

Responsibilities

• Contribute to system-level designs for large-scale accelerated computing environments with reference architectures.
• Evaluate and prototype emerging infrastructure, hardware, software, firmware, networking, storage, and accelerators.
• Support end-to-end system integration, bring-up, validation, and production-readiness across teams.
• Define, document, and communicate engineering requirements, design tradeoffs, and debug methods.

Skills

Linux

Bash

Python

C

C++

Java

Go

Collaboration

Education

Bachelor's degree in Computer Science or related

Master's degree or equivalent experience

Tools

Linux

Bash

Python

C

C++

Java

Go

Job description

NVIDIA is seeking enthusiastic new college graduates to join the Applied Systems Engineering (ASE) team in a 12-month rotation program. The role covers design, validation, and deployment of large-scale AI infrastructure and datacenter systems.

You will work across disciplines to build reference architectures, run end-to-end bring-up, and ensure production readiness. You will analyze telemetry, improve dashboards, and develop tools to detect issues and drive technical decisions.