AI-Native Hardware-Software Co-Design Research Intern

IBM Computing; San Jose (CA); On-site; USD 31,000 - 40,000; Full time

Job summary

IBM Research AI Native Systems invites interns to join a multidisciplinary team focused on AI-native hardware-software co-design. You will work on projects spanning AI-assisted compiler development, RTL generation, hardware verification, and cross-layer optimization.

The role emphasizes applying machine learning, reinforcement learning, and systems techniques to address challenging engineering problems, under mentorship from researchers across AI, compilers, and computer architecture.

Qualifications

• Enrolled in a Master’s or PhD program in CS, CE, EE, or related field.
• Proficient programming or hardware skills with Python, C, C++, Verilog, or SystemVerilog.
• Experience in at least one area: compilers, kernel development, ML systems, RL, computer architecture, RTL, or verification.

Responsibilities

• Contribute to research and prototype development in one or more project areas.
• Apply ML, generative AI, automated reasoning, RL, or systems techniques to a hardware/software challenge.
• Design experiments and benchmarks to evaluate correctness, performance, or efficiency.
• Document methods and communicate results through reports and presentations.

Skills

Python programming

C

C++

Verilog

SystemVerilog

research & collaboration

machine learning

Education

Master's or PhD program

Tools

LLVM

MLIR

Triton

CUDA

PyTorch

JAX

Job description

IBM Research AI Native Systems invites interns to join a multidisciplinary team focused on AI-native hardware-software co-design. You will work on projects spanning AI-assisted compiler development, RTL generation, hardware verification, and cross-layer optimization.

The role emphasizes applying machine learning, reinforcement learning, and systems techniques to address challenging engineering problems, under mentorship from researchers across AI, compilers, and computer architecture.