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 GPU Machine Learning Engineer - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Platforms
Computers - Networks
Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200288125 / Latpro-3827452 
Date posted: Sep-28-2021
State, Zip: California, 95014


GPU Machine Learning Engineer

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Sep 27, 2021

Weekly Hours: 40

Role Number: 200288125

Apple's GPU Compute and Advanced Rendering team provides a suite of high-performance GPU algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning and ray tracing, along with other projects of key interest to Apple. We are always looking for exceptionally talented individuals to grow our outstanding team.

Key Qualifications

  • Proven programming C/C++ and problem-solving skills
  • Good understanding of machine learning fundamentals
  • Experience with system level programming and computer architecture
  • Background in mathematics, including linear algebra and numerical methods
  • Experience with high performance parallel programming, GPU programming experience
  • Experience with machine learning libraries (TensorFlow. PyTorch); adding runt time and computation graph support.


Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple's GPUs. Work includes defining and implementing APIs in Metal Performance Shaders, investigating new algorithms, adding support for high level machine learning libraries on GPUs, adding optimizations in machine learning computation graph, performing in-depth analysis and kernel level optimizations to ensure the best possible performance across GPU families. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.

Education & Experience

Technical BS/MS degree and Equivalent experience.

Additional Requirements

  • Strong communication and collaboration skills.
  • Strong background of building high performance, production quality software on schedule.


See job description


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