Research Internship 2027: AI Accelerators (Yorktown Heights)

Join IBM Research, the innovation engine of IBM, where we explore what's next in computing and shape the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society.

Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

In this role, you will join a world-class team of engineers and researchers and contribute to the development of microarchitectures and the related back-end compiler software for advanced versions of IBM's AI accelerators. This work will be carried out in a multi-disciplinary environment where hardware-software co-optimization is key. The microarchitecture innovations and software-stack components will target complete AI solutions for both established and next-generation AI applications.

Specific examples of job responsibilities include:

• Explore compute-in-memory extensions to dataflow microarchitecture accelerators
• Investigate microarchitecture extensions to enhance on-chip memory expansion and efficiency
• Develop software kernels to demonstrate and leverage the microarchitecture innovations
• Prototyping on FPGA emulation platforms
• Contribute to the development of cutting-edge demonstrations with emerging AI accelerators

Required skills and experience:

• Strong background on AI accelerators and/or AI accelerator-associated software
• Track record of research in hardware-software co-design
• Effective communication of technical ideas
• Familiarity with tools and languages for microarchitecture studies
• Strong programming skills
• Research experience on compilers for AI accelerators
• Experience with hardware/software co-optimization for AI applications
• Familiarity with a diverse set of AI applications
• Hands-on experience in prototyping AI-based solutions