CPU Performance & Workload Analytics Engineer

Apple Inc.; Beaverton, Northern (OR, KY); Ibrido; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Apple Inc. is seeking a CPU Performance and Workload Analysis Engineer, Platform Architecture to bridge hardware and software design. You will drive workload analysis, develop performance tools, and support CPU/SOC simulations, enabling optimizations across Apple devices.

You will collaborate with CPU, system, and software teams to map workloads to hardware, and explore emerging areas like ML and AR/VR, contributing to the CPU roadmap and future silicon direction.

Competenze

• Experience with CPU architecture and micro-architecture.
• Object-oriented programming experience with C and C++.
• Experience with CPU performance analysis and associated tools.

Mansioni

• Profile and analyze existing and emerging workloads, bring up in CPU/SOC simulation environment
• Develop and maintain performance and trace analysis tools
• Develop and implement visual extensions to assist with data analysis that can be used internally and also by the various software partners in Apple
• Run and analyze workloads on simulators and prototype devices as well as work on developing and automating performance analysis infrastructure
• Develop domain expertise in emerging fields (ex: ML, AR/VR) in order to both identify hardware advancement opportunities and assist software teams in optimizing for our devices.
• Profile and analyze workload in potential new product areas to help guide CPU roadmap decisions

Conoscenze

CPU architecture

C/C++

Performance analysis tools

Formazione

MS or PhD in Electrical or Computer Engineering, or related field

Descrizione del lavoro

Apple Inc. is seeking a CPU Performance and Workload Analysis Engineer, Platform Architecture to bridge hardware and software design. You will drive workload analysis, develop performance tools, and support CPU/SOC simulations, enabling optimizations across Apple devices.

You will collaborate with CPU, system, and software teams to map workloads to hardware, and explore emerging areas like ML and AR/VR, contributing to the CPU roadmap and future silicon direction.