Server ML Frameworks Engineer

Weekly Hours: 40

Role Number: 200690554-0836

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.

Description

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.

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.