ML Performance Optimization Engineer for SoC

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple seeks a performance-focused engineer to analyze workloads on Apple Silicon, identify bottlenecks, and recommend optimizations. You will work with hardware and software teams to improve performance across the platform, leveraging expertise in GPU programming and profiling tools.

You will collaborate with engineers to address challenges, contribute to prototype systems, and help drive next-generation silicon features and software integration.

Qualifications

• Bachelor's degree in CS/CE or related quantitative field; equivalent practical experience.
• Experience with GPU or parallel programming using Metal/OpenCL/CUDA or similar.
• Experience with profiling/ performance analysis tools and concepts.
• Development experience in Python, C or C++.

Responsibilities

• Analyze workloads to identify performance bottlenecks in hardware and software.
• Propose optimizations and drive improvements for Apple Silicon.
• Collaborate with developers across teams to provide feedback to silicon and software teams.

Skills

GPU/parallel programming

Profiling tools

Python

C/C++

Metal

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Xcode Instruments

VTune

Nsight Compute

Job description

Apple seeks a performance-focused engineer to analyze workloads on Apple Silicon, identify bottlenecks, and recommend optimizations. You will work with hardware and software teams to improve performance across the platform, leveraging expertise in GPU programming and profiling tools.

You will collaborate with engineers to address challenges, contribute to prototype systems, and help drive next-generation silicon features and software integration.