Hardware Systems Engineer, Data Center

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$184,700–$324,800 / yr
Posted
18 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $255k
$129k most similar roles pay here $346k

This role pays more than 91% of similar roles. Most pay $160,000–$214,000 — the shaded band above. At the midpoint, this role pays about $255k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3683 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2845 roles with salary data.

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At a glance

TL;DR · Hardware Systems Engineer, Data Center

Hardware Systems Engineer - Data Center HWE joins the hardware development team to evaluate next-generation server platforms and optimize cloud infrastructure. The role involves analyzing CPU architectures, including Intel, AMD, and ARM, while assessing memory configurations, PCIe topology, and accelerator integrations like GPUs and SmartNICs. You will perform microbenchmarking for various workloads such as machine learning inference and networking, build performance models to predict scaling, and develop telemetry pipelines using tools like Prometheus and Grafana. Key responsibilities include profiling Kubernetes clusters, managing procurement cycles based on total cost of ownership, and collaborating with vendors on roadmap evaluations. The position requires expertise in microarchitecture concepts like NUMA topology and cache hierarchies, alongside proficiency in benchmarking tools such as SPEC, fio, sysbench, and perf to ensure efficient, cost-effective compute performance across large-scale distributed systems.

What you'll do

  • Evaluate and compare CPU architectures including Intel, AMD, ARM, and various accelerators for cloud workloads.
  • Conduct microbenchmarking and workload-specific testing for databases, machine learning inference, and network-heavy services.
  • Analyze hardware metrics such as IPC, cache behavior, NUMA topology, and power/performance curves.
  • Optimize server configurations for Kubernetes clusters, virtualized environments, and bare-metal workloads.
  • Profile large-scale distributed systems to identify bottlenecks and inefficiencies in CPU and memory utilization.
  • Develop performance models to predict workload scaling, throughput, and cost efficiency across different hardware generations.
  • Lead procurement recommendations by modeling total cost of ownership (TCO) based on performance per watt and dollar.
  • Build telemetry pipelines and dashboards to visualize compute efficiency across large-scale clusters.

What we're looking for

  • Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • 5+ years of experience in server hardware engineering, CPU architecture evaluation, or performance engineering.
  • Strong understanding of microarchitecture concepts including pipelines, branch prediction, cache hierarchies, and NUMA topology.
  • Experience evaluating and comparing Intel Xeon, AMD EPYC, and ARM architectures.
  • Hands-on experience with Kubernetes, cloud workloads, virtualization (KVM), and container infrastructure.
  • Proficiency in benchmarking tools such as SPEC, fio, sysbench, perf, and pmu-tools.
  • Familiarity with telemetry and observability stacks including Prometheus, Grafana, and eBPF.
  • Experience with large-scale cloud providers, HPC environments, or power/performance tuning (preferred).

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