Research Intern - Model Optimization and HW Acceleration

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Conduct research in one or more of the following areas: LLMs, VLMs, and Generative Image & Video. Design and implement experiments to test new hypotheses and validate research findings. Develop and optimise algorithms and models for various AI applications. Collaborate with team members to integrate research outcomes into practical solutions. Present research findings to the team and contribute to publications and patents. Enrolled in a full time bachelor's, master's, MBA, or PhD program in area in computer science, computer engineering, electrical engineering, or a related field during the academic term immediately before their internship. At least one additional quarter/semester of school remaining following the completion of the internship. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. First-author publication(s) at top-tier venues or demonstrably comparable research impact Experience with emerging memory technologies such as CXL based memory Clear communication, self-motivated, curiosity, and a bias for hands-on experimentation Interpersonal skills, cross-group, and cross-culture collaboration. Familiarity with computer systems' architecture, cache and memory hierarchy