Applied Systems Engineering Rotation Engineer - New College Graduate 2026

Details

NVIDIA is looking for enthusiastic New College Graduates to join the Applied Systems Engineering team in a 12-month rotation program. Applied Systems Engineering engages with the entire lifecycle of next-generation AI supercomputing pre-clusters at scale, including reference architectures, initial end-to-end integration and bring-up, and support for large-scale production environments. These environments enable internal teams to run workloads, collect detailed telemetry, and detect and resolve issues before they impact customers.

The role includes four 3-month rotations through teams such as Architecture, Bring-up, and Production. Depending on program needs, there may also be exposure to software, performance, or technical program management teams. Participants will collaborate with senior engineers and mentors on projects involving the design, integration, validation, operation, and improvement of large-scale GPU compute clusters. Final placement will be based on business need, host manager feedback, demonstrated strengths, and candidate preference.

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, debugging 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, 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.

Preferred Qualifications

• 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-premises 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.

Benefits

The role includes eligibility for equity and benefits.

Applications for this job will be accepted at least until September 5, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.