GPU Machine Learning Engineer, Platform Architecture

Role Number: 200648992-0157SummaryImagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Dynamic, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it.DescriptionThe Platform Architecture GPU group is looking for a talented GPU Machine Learning Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.Minimum Qualifications BS degree Experience with software and hardware performance analysis and optimization Experience in GPU programming models such as Metal, CUDA, or similar Experience with ML frameworks, for example MLX, Pytorch, or similar Preferred Qualifications MS or PhD in Computer Science, Electrical Engineering, or equivalent 3+ years of relevant industry experience Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms Experience optimizing LLM inference for low latency at the implementation level Experience optimizing LLM inference at scale in the cloud or datacenter Ability to communicate across both hardware and software organizations 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. Learn more about your EEO rights as an applicant (.

Created: 2026-03-10