GPU ML Engineer

Cupertino, CA, US • Posted 4 days ago • Updated 10 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Algorithms
  • IOS Development
  • OS X
  • Image Processing
  • Optimization
  • Computer Architecture
  • Parallel Computing
  • GPU
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Collaboration
  • Machine Learning (ML)
  • Mathematics
  • Linear Algebra
  • Numerical Analysis

Summary

Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel 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, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.

Description

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 Silicon.

Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.

Minimum Qualifications

Technical BS/MS degree and Equivalent experience.

2 plus years of experience

GPU compute kernel framework development, maintenance, and optimization.

Experience with system level programming and computer architecture.

Experience with high performance parallel programming, GPU programming experience

Preferred Qualifications

Excellent programming and problem-solving skills.

Strong communication skills.

Strong collaboration skills.

Good understanding of machine learning fundamentals.

Background in mathematics, including linear algebra and numerical methods is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 9138144e03ff218b7f87e70505ed35d3
  • Posted 4 days ago
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