Server ML Frameworks Engineer
- Location
- Cupertino · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- 13 days ago
Skills & highlights for this role
- GPU kernel development and optimization
- Compute programming models (Metal, CUDA, or similar)
- Distributed training or inference techniques
- C/C++ system-level programming
- Operating systems understanding
- Computer architecture understanding
- Technical leadership
- People management
Also useful
- Strategic leadership and decision-making
- Apple framework and API design patterns
- Graph compilers (CuTE, CuTile, Triton, OpenXLA, LLVM)
- LLM and diffusion model architectures
Summary
Apple’s Server ML Frameworks team in Intelligent System Experience 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 a senior technical leader with strong technical background who is deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution and to partner with software and hardware leaders to define Server Apple Intelligence roadmap.
About the role
As a senior technical leader on Apple's Server ML Frameworks team, you will set the technical direction and software architecture for the frameworks that power Apple Intelligence at scale.
You will partner with teams across Apple to propose, develop, and evaluate features in new Apple Intelligence models; collaborate closely with our hardware organizations to influence the design of next-generation silicon; and help define the compute and programming models for future server architectures.
You will also grow and mentor a team of engineers, establish engineering best practices, and build the cross-functional relationships needed to deliver complex, multi-team initiatives.
Responsibilities
- Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
- Defining and implementing APIs in Metal Performance Shaders.
- Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
- Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon
- Tune GPU-accelerated compute across products.
Minimum Qualifications
- BS/MS/PhD in Computer Science or a related field, or equivalent practical experience
- 3–5 years of experience as a manager or technical leader
- Experience with GPU kernel development and optimization using compute programming models such as Metal, CUDA, or similar
- Experience with distributed training or inference techniques
- Strong system-level programming skills in C/C++, with a solid understanding of operating systems and computer architecture
Preferred Qualifications
- Track record in strategic leadership and decision-making
- Familiarity with Apple framework and API design patterns
- Experience with graph compilers such as CuTE, CuTile, Triton, OpenXLA or LLVM is a plus
- Good understanding of LLM and Diffusion based model architectures
From Apple's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Server ML Frameworks Engineer job at Apple located?
This Server ML Frameworks Engineer position at Apple is located in Cupertino (On-site). Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Server ML Frameworks Engineer at Apple?
For the Server ML Frameworks Engineer role, Apple highlights 3+ years of relevant experience; a bachelor's degree; experience with GPU kernel development and optimization, Compute programming models (Metal, CUDA, or similar), Distributed training or inference techniques, C/C++ system-level programming, Operating systems understanding, Computer architecture understanding. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Server ML Frameworks Engineer position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.