Applied Systems Engineering Rotation Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$108,000–$178,250 / yr
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $148k
This role $143k
$99k most similar roles pay here $195k

This role pays less than 57% of similar roles. Most pay $109,937–$185,571 — the shaded band above. At the midpoint, this role pays about $143k versus about $148k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Applied Systems Engineering Rotation Engineer

Applied Systems Engineering Rotation Engineer - New College Graduate 2026 joins the Applied Systems Engineering team for a twelve-month rotation program focused on next-generation AI supercomputing pre-clusters at scale. This role involves moving through various teams to design, integrate, validate, and operate large-scale GPU compute clusters. Day-to-day responsibilities include creating reference architectures, evaluating emerging infrastructure technologies, performing system bring-up, and analyzing telemetry and performance data to identify improvements. The candidate will build dashboards, automation tools, and workflows while communicating technical findings through design reviews. Required skills include proficiency in Linux, Bash, Python, C, C++, Java, or Go. Candidates should possess expertise in distributed systems, HPC, Kubernetes, Slurm, networking, and storage. The role addresses the critical challenge of transforming architecture decisions into production-ready environments by ensuring hardware, software, firmware, and networking components function seamlessly together.

What you'll do

  • Design system-level architectures for large-scale accelerated computing environments and deployment-specific solutions.
  • Prototype and validate emerging hardware, software, firmware, networking, and storage technologies.
  • Execute end-to-end system integration, bring-up, and validation to ensure production readiness.
  • Define and document engineering requirements, design tradeoffs, debug methods, and technical recommendations.
  • Analyze workload, telemetry, performance, and reliability data to identify issues and improvement opportunities.
  • Develop dashboards, automation tools, and workflows to support issue detection and diagnosis.
  • Present technical work and communicate risks or blockers through design reviews and cross-functional forums.

What we're looking for

  • Bachelor’s degree or Master’s degree in Computer Science, Engineering, 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, and communicate findings clearly.
  • Interest in large-scale systems, AI infrastructure, datacenter systems, or distributed computing.
  • Strong collaboration and communication skills with a willingness to learn quickly across engineering teams.
  • Experience with distributed systems, HPC systems, AI clusters, or GPU-accelerated computing is preferred.
  • Experience with Linux systems, containers, Kubernetes, Slurm, networking, storage, or cloud infrastructure is preferred.
  • Experience analyzing logs, metrics, telemetry, and performance data to identify issues is preferred.

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