This role pays less than
65%
of similar roles. Most pay
$177,300–$246,271
— the shaded band above.
At the midpoint, this role pays about
$188k
versus about
$212k
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
System Performance Engineer - AI/ML, Platform Architecture joins the Platform Architecture team to ensure performance excellence by benchmarking AI experiences across various devices. The role involves curating and defining AI workloads that represent real user experiences, designing experiments to measure metrics, and analyzing system behavior to uncover optimization opportunities across hardware components like CPU, GPU, Neural Engine, memory, and storage. You will also analyze software layers including the OS, drivers, and applications while monitoring thermals, power, and acoustics. The position requires proficiency in Python for scripting and automation, experience with profiling tools such as VTune, Nsight, uProf, WPA, or HWInfo, and familiarity with frameworks like PyTorch, TensorFlow, TensorRT/CUDA, and OpenVINO. You will translate complex technical data into actionable narratives for executive leadership to improve overall product performance.
Curate and define AI workloads that represent real user experiences across different market segments.
Design experiments and define metrics to measure and analyze AI performance.
Run AI workloads across diverse hardware and software configurations to gather data.
Analyze system behavior to identify optimization opportunities in CPU, GPU, Neural Engine, memory, and storage.
Correlate performance data with underlying hardware/software behaviors including thermals, power, and acoustics.
Translate complex technical analysis into actionable narratives for executive leadership and cross-functional partners.
Monitor and research the latest developments in AI models, frameworks, and hardware accelerators.
What we're looking for
Bachelor's Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Experience in performance measurement, analysis, debug, and optimization using software profiling tools like VTune, Nsight, uProf, WPA, or HWInfo.
Experience curating, running, and interpreting AI/ML workloads and benchmarks using frameworks such as PyTorch, TensorFlow, TensorRT/CUDA, or OpenVINO.
3+ years of industry experience in performance analysis (preferred).
Understanding of hardware that accelerates AI/ML, including GPUs, NPUs, and memory/bandwidth factors (preferred).
Understanding of OS fundamentals and system-level performance, including power and thermal profiling tools (preferred).
Proficiency in Python for scripting and automation (preferred).
Knowledge of macOS, Windows, and Linux operating systems (preferred).
C++
Python
Computer Architecture
Performance Modeling
Data Structures
Algorithms
Compiler Explorer
Data Analysis
Regression Testing
Simulation
Software Engineering
SoC Architecture
C++
Python
Computer Architecture
Performance Modeling
Data Structures
Algorithms
Compiler Explorer
Regression Testing
Data Analysis
Simulation
Software Engineering
SoC Architecture
C++
Python
Computer Architecture
Performance Modeling
Data Structures
Algorithms
Compiler Explorer
Data Analysis
Regression Testing
Simulation
Software Engineering
SoC Architecture
C++
Python
Computer Architecture
Performance Modeling
Data Structures
Algorithms
Compiler Explorer
Regression Testing
Data Analysis
Simulation
Software Engineering
SoC Architecture