Power & Performance Engineer

Job Description: 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.

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.

Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or   a related   technical field.   5+ years of experience in power, performance, systems optimization, or related areas.   Deep knowledge of CPU/GPU power management, performance counters , Linux   power frameworks.   Proficiency   in data analysis using Python and/or SQL .

Experience with PUE/thermal modeling, pod-level capacity planning, AI cluster scaling.              Job Type: Experienced Hire Shift: Shift 1 (Israel) Primary Location: Israel, Haifa Additional Locations: Israel, Petah-Tikva Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A 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. *