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Join us to help build the next generation of AI hardware solutions. You will be part of a highly skilled, agile team developing cutting-edge hardware for the AI domain, where we push the boundaries of what silicon can do for emerging AI workloads. With a startup-like culture, we move quickly and give engineers the opportunity to drive significant technical and business impact.
We are continuously developing modern and effective working methods, including hands-on adoption of AI tools throughout the chip development flow.
Responsibilities:
Own pod-level power and performance metrics for large-scale AI AI data center using a modeling and telemetry platform developed by a partner team; collect, validate, and report performance-per-watt, capacity, and utilization metrics across pods.
Operate and drive requirements for the modeling/telemetry platform developed by a partner team; provide feedback to improve accuracy and coverage.
Aggregate silicon/rack data up to the pod level; reconcile measured vs. modeled metrics and own the pod power/performance budget.
Drive power telemetry, capping, and dynamic power management (RAPL, P/C-states, DVFS) to maximize throughput within pod thermal/power envelopes.
Build workload characterization and benchmarking pipelines (SPEC, MLPerf, AI workloads) to identify bottlenecks and guide pod capacity planning.
Partner with facilities, electrical, and the platform-owning team on power distribution, PUE targets, and peak-demand management at pod scale.
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Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*