Research intern developing and validating analytical and simulation models for memory-centric architectures supporting AI workloads. Responsibilities include characterizing training and inference workloads, analyzing memory capacity, bandwidth, and latency, evaluating emerging memory and integration technologies, benchmarking model accuracy, and producing performance, efficiency, and cost analyses. The role also involves technical documentation, publishing findings, and contributing to architecture decisions for next-generation datacenter and AI systems.

Leads full-cycle recruiting for technical and non-technical roles, partnering with hiring managers and business leaders on workforce needs, sourcing, candidate assessment, interviews, offers, negotiations, and onboarding coordination. Provides market intelligence, talent strategy, recruiting analytics, and candidate guidance while managing multiple requisitions. Supports recruiting projects involving process improvement, diversity hiring, employer branding, workforce planning, and recruiting technology.