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

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

Cupertino, California, United States

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

Responsibilities

• Work on cutting‑edge ML inference framework project and optimize code for efficient and scalable ML inference using distributed compute strategies such as data, tensor, pipeline and expert parallelism.
• Develop kernel and compiler level optimizations and perform in‑depth analysis to ensure the best possible performance across Server hardware families.
• Apply advanced model optimization techniques including speculation, quantization, compression, and others to maximize throughput and minimize latency.
• Collaborate closely with hardware, compiler, and systems teams to align software performance with hardware capabilities.
• Analyze and improve performance metrics such as end‑to‑end latency, TTFT, TBOT, memory footprint, and compute efficiency.

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.

Benefits

• Base pay range of $147,400 to $272,100, commensurate with skills, qualifications, experience, and location.
• Apple employee stock programs and stock purchase plan opportunities.
• Comprehensive medical and dental coverage, retirement benefits, discounted products, and free services.
• Educational expense reimbursement, including tuition.
• Discretionary bonuses or commission payments and relocation assistance may be available.

Equal Opportunity

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. We are committed to providing reasonable accommodations for job applicants and ensuring an accessible workplace for all employees.