SoC Power & Performance Engineer - Platform Architecture

Apple; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple in Santa Clara is seeking a Platform Architecture engineer to analyze SoC power and performance on shipping products. You will use workloads and benchmarks to characterize how our hardware and software work in unison.

You will identify performance bottlenecks and provide recommendations for hardware and software improvements, collaborating across teams to drive end-to-end optimizations for CPU, GPU, and subsystems.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related quantitative field (or equivalent practical experience)
• Experience using benchmark software tools to accurately measure system performance
• Experience with Python and shell scripting
• Experience with modern consumer electronics devices, SoCs and multiple operating systems

Responsibilities

• Collect and analyze power and performance data across a broad range of devices and workloads
• Understand new and emerging software workloads, develop procedures and automation for measuring power and performance
• Set up and configure new devices and software to enable accurate and repeatable benchmarking
• Disassembling/reassembling of consumer devices while preserving functionality and thermal properties
• Debugging and troubleshooting of desktop and mobile devices

Skills

Benchmark tools

Python

Shell scripting

SoCs & OS diversity

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related quantitative field (or equivalent practical experience)

Tools

Benchmark software tools

Job description

Apple in Santa Clara is seeking a Platform Architecture engineer to analyze SoC power and performance on shipping products. You will use workloads and benchmarks to characterize how our hardware and software work in unison.

You will identify performance bottlenecks and provide recommendations for hardware and software improvements, collaborating across teams to drive end-to-end optimizations for CPU, GPU, and subsystems.