New Grad AI Systems Rotation Engineer

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 108,000 - 178,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking enthusiastic New College Graduates for a 12‑month Applied Systems Engineering rotation. You will move through Architecture, Bring-up, and Production, collaborating with senior engineers on projects that scale AI compute clusters and production environments.

You will gain hands-on experience across software, hardware, and telemetry, building dashboards and tooling while learning how architecture decisions become production-ready systems.

Qualifications

• Bachelor's or Master's in a technical field such as CS/CE/EE/Math/Physics.
• Experience with software development or scripting in Linux environments.
• Ability to analyze data, summarize findings, and communicate clearly.

Responsibilities

• Contribute to system-level designs for large-scale AI compute environments.
• Prototype and validate new infrastructure, hardware, software, and networking tech.
• Support end-to-end system integration, bring-up, validation, and production-readiness.
• Define requirements, document design tradeoffs, and communicate results.
• Analyze workload and telemetry to identify issues and improvement opportunities.
• Build dashboards, automation, and tooling to support operations and decision making.
• Present work and risks through reviews and cross-functional forums.

Skills

Linux

Bash

Python

C/C++

Java

Go

Data analysis

Collaboration

Education

Bachelor's or Master's in a technical field

Job description

NVIDIA Corporation in Santa Clara, CA is seeking enthusiastic New College Graduates for a 12‑month Applied Systems Engineering rotation. You will move through Architecture, Bring-up, and Production, collaborating with senior engineers on projects that scale AI compute clusters and production environments.

You will gain hands-on experience across software, hardware, and telemetry, building dashboards and tooling while learning how architecture decisions become production-ready systems.