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NVIDIA

Applied Systems Engineering Rotation Engineer - New College Graduate 2026

NVIDIA
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entry full-time Santa Clara, CA

First indexed 2 Sept 2026

Description

NVIDIA is looking for enthusiastic New College Graduates to join the Applied Systems Engineering team in a 12-month rotation program.

As an Applied Systems Engineering Rotation Engineer, you will move through different teams such as Architecture, Bring-up, and Production. You will collaborate with senior engineers and mentors on projects that help NVIDIA design, integrate, validate, operate, and improve large-scale GPU compute clusters.

Responsibilities:

  • 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.

Requirements:

  • 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.

Benefits:

  • Equity
  • Benefits