About the role#
The AI-Native Hardware-Software Co-design team at IBM Research focuses on integrating hardware and software development through a continuous co-design loop. We work on projects including AI-assisted compiler development, kernel optimization, RTL generation, and cross-layer system optimization. As an intern, you will join a project aligned with your background to help shorten development cycles and improve end-to-end system performance. You will work with a research mentor and an interdisciplinary team to explore ideas that influence future IBM systems and the broader computing ecosystem.
What you'll do#
- Contribute to research and prototype development in areas matching your expertise.
- Apply machine learning, generative AI, automated reasoning, reinforcement learning, or systems techniques to specific hardware or software engineering challenges.
- Investigate reinforcement learning and post-training methods to extend open models for tasks like RTL generation, optimization, and verification.
- Design experiments and benchmarks to measure correctness, performance, efficiency, and engineering productivity.
- Explore connections between your assigned project and other layers of the computing stack.
- Collaborate with researchers and engineers across AI, compilers, computer architecture, digital design, and systems software.
- Document your findings and share results through technical reports, presentations, code, and potential research publications.
What you'll need#
- Current enrollment in a Master's or PhD program in computer science, computer engineering, electrical engineering, or a related field.
- Strong programming or hardware-development skills in languages such as Python, C, C++, Verilog, or SystemVerilog.
- Experience in at least one area: compilers, kernel development, machine learning systems, reinforcement learning, computer architecture, digital design, RTL development, hardware verification, or hardware-software co-design.
- Experience conducting technical experiments, debugging complex systems, analyzing quantitative results, or building research prototypes.
- Ability to communicate technical ideas and work effectively in a multidisciplinary research environment.
- Beneficial experience includes reinforcement learning, generative AI, LLVM, MLIR, Triton, CUDA, PyTorch, JAX, hardware simulation, formal verification, or performance modeling.
Location & details#
- Term: Summer 2027
- Location: United States
- Modality: On-site
- Status: Full-time, paid internship
About IBM
IBM provides IT services and consulting to a global client base. The company develops technology solutions across areas such as cloud computing, security, analytics, and infrastructure. It operates as a public organization with more than 10,001 employees. The corporate headquarters are located in Armonk, New York.
How to get in at IBM
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