PhD Research Intern, Architecture – 2027
Core
Define the future of GPU and data-center computing through foundational research in microarchitecture, memory systems, and hardware-software co-design.
Role type
PhD Research Intern, Computer Architecture
Builds
Models, simulators, prototypes, and experimental infrastructure for future NVIDIA systems
Domain
Hardware architecture, parallel computing, compilers, runtime systems, AI workloads
Deliverable
production ML models
Required skills
Computer architecture, parallel computing, C/C++, CUDA programming, system simulation, compiler/runtime development, workload analysis
Preferred skills
Research publications (ISCA/MICRO/ASPLOS/HPCA/MLSYS), generative AI coding tools, GPU profiling, deep learning model execution
Technologies
CUDA, C/C++, GPU, Compilers, Runtime systems, Simulators
Responsibilities
Investigate new architecture concepts for GPUs and data-center platforms; Study emerging workloads to identify bottlenecks; Explore hardware-software co-design; Develop models and simulators to evaluate ideas; Research memory hierarchy and system programmability; Collaborate with researchers and product teams; Communicate findings via reports and presentations; Transfer successful research to product teams
