Applied Systems Engineering Rotation Engineer - New College Graduate 2026

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 looking for enthusiastic New College Graduates to join the Applied Systems Engineering team in a 12-month rotation program. ASE engages with the entire lifecycle of next‑generation AI supercomputing pre‑clusters at scale. The team creates reference architectures, confirms feasibility through initial end‑to‑end integration and bring‑up, and supports large‑scale production environments. These environments allow internal teams to run workloads, gather detailed telemetry, and detect and resolve issues before they impact customers.

What you’ll be doing:

• Contribute to system‑level designs for large‑scale accelerated computing environments, including reusable reference architectures and deployment‑specific solutions.
• Evaluate, prototype, and validate emerging infrastructure, hardware, software, firmware, networking, storage, and accelerator technologies.
• Support end‑to‑end system integration, bring‑up, validation, and production‑readiness activities across cross‑functional engineering teams.
• Define, document, and communicate engineering requirements, design tradeoffs, debug methods, findings, and recommendations.
• Analyze workload, telemetry, performance, reliability, and operational data to identify issues and improvement opportunities.
• Build or improve dashboards, automation, tools, and workflows that support issue detection, diagnosis, recovery, and technical decision‑making.
• Present technical work and communicate risks, blockers, status, and recommendations through design reviews, project readouts, and cross‑functional forums.

What we need to see:

• Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Data Science, Mathematics, Physics, or a related technical field.
• Experience with software development or scripting in Linux, Bash, Python, C, C++, Java, Go, or similar technologies.
• Ability to analyze technical data, identify patterns, 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, with a willingness to ask questions, learn quickly, and work across engineering teams.

Ways to stand out from the crowd:

• Academic, internship, research, or project experience with distributed systems, HPC systems, AI clusters, datacenter infrastructure, or GPU‑accelerated computing.
• Experience with Linux systems, containers, Kubernetes, Slurm, networking, storage, cloud infrastructure, or on‑prem infrastructure.
• Experience analyzing logs, metrics, telemetry, workload data, performance regressions, or reliability issues.
• Experience building dashboards, visualizations, automation, scripts, or lightweight tools used by others.
• Experience with hardware/software integration, firmware/software lifecycle management, validation, production operations, or system troubleshooting.
• Examples of clear technical storytelling, such as presentations, diagrams, demos, research posters, design reviews, or written technical summaries.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.