Hardware Systems Engineer - Data Center HWE
Apple - Austin, United States of America
Posted Feb 3, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
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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