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Hardware Systems Engineer - Data Center HWE

Apple - Austin, United States of America

Posted Feb 3, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Hardware Systems Engineer - Data Center HWE Austin, United States of America At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact billions of users by developing extraordinary products with a prime focus on accuracy, understandability and performance of the product? You will become part of a hardware development team that furthers engineering perfection, creativity and innovation. Dynamic, inspiring people and innovative technologies are the norm here. Bring passion and dedication to your job and there's no telling what you could accomplish. We are seeking an experienced Server Hardware Engineer with deep expertise in CPU architectures, compute performance analysis, and cloud-scale hardware optimization. In this role, you will evaluate next-generation server platforms, assess workload requirements, and guide strategic decisions on processor selection across x86, ARM, and accelerator-enabled systems. You will partner closely with SRE, platform engineering, and capacity planning teams to ensure our Compute cloud infrastructure runs on the most efficient and cost-effective compute platforms. CPU Architecture & Performance Engineering: Evaluate and compare CPU architectures (Intel, AMD, ARM, emerging, accelerators) for cloud and containerized workloads. Conduct microbenchmarking and workload-specific benchmarking (DB, caching, ML inference, microservices, network-heavy workloads). Analyze CPU metrics including IPC, cache hierarchy behavior, NUMA topology, SMT/Hyperthreading efficiency, turbo behaviors, and power/performance curves. Build performance models to predict workload scaling, throughput, and cost efficiency across CPU generations. Server Hardware & Platform Analysis: Assess server platforms including memory configurations, PCIe

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