NVIDIA 2027 Internships: Ph.D. Research Computer Architecture and Systems

Potential internships require research experience in at least one of the following areas: 

• Chip-level and System-level Architecture 

GPU and Multi-GPU Architecture 

Scalable memory systems and new memory technologies 

Scalable on-chip and off-chip interconnects 

Chip-level and system-level scheduling 

Power, performance, and energy-efficiency in large-scale systems 

Specialized accelerators for workloads like AI algorithms, crypto algorithms, databases, etc. 

Hardware-software co-design 

• Systems for AI/ML 

Systems Infrastructure for large LLM training and inference 

Systems/AI algorithms codesign (e.g., for sparsity) 

AI/ML for systems (hardware design, code optimization, etc.) 

ML for EDA 

• Programming Systems 

GPU-accelerated algorithms 

Languages and programming models for parallel computing 

Optimizing compilers and AI-based performance assistants 

Distributed runtime systems 

Systems software and operating system interfaces 

Optimizing GPU-accelerated workloads 

Compilers and code verification 

• High-Performance Networking and Interconnects 

Large-scale GPU networking 

Topologies, routing, and congestion control 

Networking techniques at the intersection of scale-out and scale-up 

• VLSI and Electronic Design Automation (EDA) 

GPU Accelerated EDA