AI GPU Architecture & Performance Optimization Intern
Join Intel's GPU Compute Architecture team as an intern to optimize GPU kernels and validate GPU IP using representative AI workloads. The role supports hardware/software co-design and influences performance of next-generation Intel GPU and AI accelerator platforms.
Hands-on work focused on low-level performance engineering, profiling, and building workload-driven performance models.
Entry-level (Internship). Suitable for current undergraduate or graduate students; no specific years-of-experience required.
Primary responsibilities include kernel optimization, workload reproduction, profiling, and providing architecture-level performance insights.
Must-have technical skills and attributes for this internship.
Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Company: Intel Corporation
Headquarters: Santa Clara, California, USA
Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.
