Microarchitecture / Software Intern 2027 - AI Accelerators Research is a role within a multi-disciplinary team focused on hardware-software co-optimization for advanced AI accelerators. You will contribute to the development of microarchitectures and back-end compiler software, specifically targeting complete solutions for both established and next-generation AI applications. Day-to-day responsibilities include exploring compute-in-memory extensions for dataflow microarchitecture accelerators, investigating on-chip memory expansion efficiency, developing software kernels to leverage these innovations, and prototyping on FPGA emulation platforms. The role requires a strong background in AI accelerators, hardware-software co-design research, and the ability to communicate technical ideas effectively. Preferred qualifications include programming skills, experience with compilers for AI accelerators, and familiarity with tools for microarchitecture studies. This position addresses the technical challenge of optimizing hardware and software stacks to support diverse AI applications and emerging accelerator technologies.
Python
C
C++
Verilog
SystemVerilog
LLVM
MLIR
Triton
CUDA
PyTorch
JAX
Reinforcement Learning
Generative AI
RTL
Hardware Verification
Kernel Development
Computer Architecture
Data Science
Machine Learning
High Performance Computing
Quantum Computing
Hybrid Cloud
Chip Architecture
Semiconductor Research
Data Analysis
Information Technology
Large Language Models
Distributed Systems
Python
Go
C++
Rust
Docker
Kubernetes
RDMA
Software-Defined Networking
Linux Networking
Deep Learning
Machine Learning
High-Performance Computing
vLLM
llm-d
Large Language Models
LLMs
Transformer Architecture
Python
PyTorch
Generative AI
Distributed Frameworks
High Performance Computing
Quantum Computing
Hybrid Cloud