Applied Systems Engineering Rotation Engineer - New College Graduate 2026
About The Position
NVIDIA is hiring New College Graduates for a 12-month Applied Systems Engineering rotation program. The team works across the lifecycle of next-generation AI supercomputing pre-clusters at scale, from developing reference architectures and confirming feasibility through end-to-end integration and bring-up to supporting large-scale production environments. These environments enable internal teams to run workloads, collect telemetry, and identify and resolve issues before they affect customers. The engineer will complete four 3-month rotations, including work with Architecture, Bring-up, and Production teams. Depending on program needs, rotations may also involve software, performance, or technical program management teams. Participants collaborate with senior engineers and mentors to help design, integrate, validate, operate, and improve large-scale GPU compute clusters. Final placement after the program is based on business needs, host manager feedback, demonstrated strengths, and candidate preference.
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 willingness to ask questions, learn quickly, and work across engineering teams.
Nice To Haves
- 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.
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 for 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.
Benefits
- Eligible for equity and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
