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ML Framework (MetalLM) Engineer, Graphics, Game and ML

Cupertino, CA, US • Posted 60+ days ago • Updated 3 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Generative Artificial Intelligence (AI)
Cloud Computing
Server Hardware
Machine Learning (ML)
Conflict Resolution
Problem Solving
C
C++
Objective-C
GPU
CUDA
Training
Computer Architecture
LLVM

Summary

Apple's Server ML Frameworks team in GPU, Graphics and Machine Learning works on enabling Apple Intelligence through high-performance, distributed inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data center. We are looking for engineers with systems background who are deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution.

Description

Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.

Minimum Qualifications

3+ years of programming and problem-solving experience with C/C++/ObjC

Experience with GPU kernel development & optimizations using compute programming models such as Metal, CUDA etc.

Experience with Distributed training or inference techniques

Experience with system level programming and computer architecture

Preferred Qualifications

Experience with graph compilers such as CuTE, CuTile, Triton, OpenXLA or LLVM is a plus

Good understanding of LLM and Diffusion based model architectures

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: acc7771f22e68903db11b0d9aa72a0df
Posted 30+ days ago

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