AI Hardware Engineering Intern

Job Details: Job Description: About the Job Intel is seeking exceptional Computer Science, Electrical Engineering, Computer Engineering, and AI/ML students to join an AI Hardware Engineering internship focused on the future of AI inference and AI infrastructure with hardware/software co-design expertise. This internship approaches AI infrastructure as a hardware/software co-design challenge. The intern will analyze how model architecture, inference behavior, memory movement, data-center constraints, and software stacks influence end-to-end customer outcomes, including throughput, latency, time-to-first-token, tokens per second, power consumption, utilization, total cost of ownership, and deployability. The successful candidate will be technically hands-on, capable of independent research and analysis, and comfortable working within a highly technical team of researchers and engineers addressing complex AI hardware and infrastructure challenges. What You Will Do Conduct technical research on the next generation of AI infrastructure, including CPUs, GPUs, AI accelerators, ASICs, memory systems, networking, storage, rack-scale architecture, power delivery, cooling, and cluster management. Analyze GenAI and agentic AI workloads to understand their hardware implications, including transformer architecture based inference, mixture-of-experts architectures, multimodal models, real-time interactive inference, and distributed serving.