Hardware Systems Engineer - Data Center HWE at Apple

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Server Hardware Engineering, CPU Architectures, Compute Performance Analysis, Cloud-Scale Hardware Optimization, Processor Selection, x86, ARM, Accelerator-Enabled Systems, Workload Requirements, Benchmarking Tools, Workload Profiling, Telemetry, Observability Stacks, Virtualization, Container Infrastructure, Performance Tuning

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION 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. MINIMUM QUALIFICATIONS Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field. 5+ years of experience in server hardware engineering, CPU architecture evaluation, or performance engineering. Strong understanding of microarchitecture concepts: Pipelines, branch prediction, out-of-order execution Cache hierarchies (L1/L2/L3), prefetching, NUMA SMT/hyperthreading, core utilization, turbo boost behaviors Experience evaluating and comparing Intel Xeon, AMD EPYC, and ARM. Hands-on experience with Kubernetes, cloud workloads, virtualization (KVM), and container infrastructure. Proficiency in benchmarking tools (SPEC, fio, sysbench, perf, pmu-tools) and workload profiling. Familiarity with telemetry and observability stacks (Prometheus, Grafana, eBPF, etc.). PREFERRED QUALIFICATIONS Experience with large-scale cloud providers, hyperscalers, or high-performance computing (HPC) environments. Expertise in power/performance tuning, BIOS optimization, and firmware-level configuration. Knowledge of CPUs, SmartNICs, GPUs, and offload/acceleration architectures. Experience building internal performance dashboards and analytics tools. Demonstrated ability to thrive in a fast-paced, dynamic, and often ambiguous environment. Passionate, relentless commitment to quality and user experience. Strong problem-solving skills and the ability to debug complex issues across multiple layers of a system. Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Responsibilities

This role involves evaluating next-generation server platforms and assessing workload requirements to guide strategic decisions on processor selection across various system types. The engineer will partner with SRE, platform engineering, and capacity planning teams to ensure the Compute cloud infrastructure utilizes the most efficient and cost-effective compute platforms.