Applied Systems Engineering Rotation Engineer

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$108,000–$178,250 / yr
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $150k
This role $143k
$99k $195k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $115,000–$185,300 — the blue band above. At the midpoint, this role pays about $143k versus about $150k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Applied Systems Engineering Rotation Engineer

The Applied Systems Engineering Rotation Engineer - New College Graduate 2026 joins the Applied Systems Engineering team for a twelve-month rotation program. This role involves moving through Architecture, Bring-up, and Production teams to help design, integrate, validate, operate, and improve large-scale GPU compute clusters. You will contribute to system-level designs, evaluate emerging infrastructure, and support end-to-end system integration and production-readiness activities. Key responsibilities include analyzing workload telemetry, building automation tools, and communicating engineering requirements. Required skills include experience with software development or scripting in Linux, Bash, Python, C, C++, Java, or Go. The work focuses on the lifecycle of next-generation AI supercomputing pre-clusters, solving problems related to hardware/software integration, distributed computing, and large-scale accelerated computing environments.

What you'll do

  • Contribute to system-level designs for large-scale accelerated computing environments and reusable reference architectures.
  • Evaluate, prototype, and validate emerging hardware, software, firmware, networking, and storage technologies.
  • Support end-to-end system integration, bring-up, validation, and production-readiness activities across cross-functional teams.
  • 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.
  • Build and improve dashboards, automation tools, and workflows to support issue detection and recovery.
  • Present technical work, risks, and status updates through design reviews and cross-functional forums.

What we're looking for

  • Bachelor’s degree or Master’s degree in a technical field or equivalent experience.
  • 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 conclusions clearly.
  • Interest in large-scale systems, AI infrastructure, datacenter systems, or distributed computing.
  • Strong collaboration and communication skills with a willingness to learn quickly.
  • Academic, internship, research, or project experience with distributed systems, HPC, AI clusters, or GPU-accelerated computing (preferred).
  • Experience with Linux systems, containers, Kubernetes, Slurm, networking, storage, or cloud infrastructure (preferred).
  • Experience with hardware/software integration, firmware/software lifecycle management, or system troubleshooting (preferred).

More like this

Similar roles

Senior Systems Software Engineer, EDA Infrastructure

Nvidia

Remote (CA) +4 3 days ago $184,000–$287,500
Python Go Kubernetes Docker Linux Distributed Systems OpenStack Slurm Networking Storage Technologies Bare Metal as a Service NVIDIA GPU High-Performance Computing Infrastructure Automation
8+ yrs exp Remote

Senior Software Engineer, Storage

Nvidia

Remote (Santa Clara, CA) +1 13 days ago
Distributed Systems C++ Python Go Kubernetes Slurm PyTorch JAX Lustre GPFS BeeGFS AWS Azure GCP Infrastructure Automation HPC LSF Observability
5+ yrs exp Remote

System Design Engineer

Nvidia

Santa Clara, CA 20 days ago $92,000–$155,250
PCB Design PCB Layout Linux Windows Oscilloscope Multimeter Logic Analyzer System Validation SoC GPU Tegra MGX Bringup

Systems Engineer I

Applied Materials

Gloucester, MA 74 days ago $78,500–$108,000
Systems Engineering System Architecture System Integration Software Design Algorithms Electrical Engineering Mechanical Engineering Physics Testing Troubleshooting Manufacturability Serviceability

Systems Software Engineer

Nvidia

Hillsboro, OR 26 days ago
CUDA GPU Deep Learning Distributed Computing Parallel Programming Algorithm Development Data Structures Memory Management Model Optimization Backpropagation semiconductor manufacturing Computational Geometry Low-level Performance Optimization

Software R&D Engineer, VLSI Physical Design

Nvidia

Austin, TX +1 97 days ago $116,000–$189,750
C++ VLSI Physical Design Machine Learning Python Perl Tcl ICC2 Innovus PrimeTime Tempus StarRC Distributed Computing Multithreading Reinforcement Learning Graph Neural Networks Parallel Computing EDA Tools