Apple AIML – Sr Engineering Program Manager, ML Compute Infrastructure Job Analysis and Application Guide

Job Overview:

The AIML team at Apple is seeking a Sr Engineering Program Manager for ML Compute Infrastructure to drive groundbreaking technology in machine learning. This role involves establishing cross-functional partnerships to improve compute services, collaborating with engineering teams to define partnership strategies across the ML ecosystem, and leading technical evaluations of emerging accelerator technologies like GPUs, TPUs, and custom silicon. You will oversee capacity expansions, compute buildouts, and accelerator hardware strategy, ensuring seamless delivery at scale while translating ML platform requirements into concrete infrastructure programs. The ideal candidate has 6+ years of experience as an Engineering Program Manager, a strong understanding of large-scale compute architecture, and familiarity with AI/ML frameworks and high-performance computing environments, with a preference for those with hands-on experience in accelerator benchmarking and data center expansion programs.

>> View full job details on Apple’s official website.

Resume and Interview Tips:

To tailor your resume for the Sr Engineering Program Manager role at Apple’s AIML team, focus on highlighting your experience in ML compute infrastructure and large-scale capacity planning. Emphasize your leadership in cross-functional projects, vendor engagements, and partnerships with cloud and silicon providers. Detail your hands-on experience with accelerator technologies, benchmarking, and cost modeling, as these are critical for this role. Showcase any projects where you’ve led data center expansions or deployed high-density compute for ML workloads. Quantify your achievements where possible, such as cost savings or performance improvements from your infrastructure decisions. Your resume should reflect a strong technical foundation in AI/ML frameworks and high-performance computing, along with your ability to translate complex requirements into actionable programs. A clear demonstration of your vision and execution in technical domains will make your application stand out.

During the interview for the Sr Engineering Program Manager position at Apple, expect deep technical discussions around ML compute infrastructure, accelerator technologies, and capacity planning. Be prepared to discuss your experience in leading cross-functional teams and managing vendor relationships, as these are key aspects of the role. You may be asked to walk through specific projects where you evaluated emerging technologies or optimized infrastructure costs. Practice articulating your thought process for balancing performance, cost, and compatibility in hardware decisions. The interviewer will likely probe your understanding of AI/ML frameworks and high-performance computing environments, so brush up on these topics. Additionally, be ready to discuss how you’ve mitigated technical risks in past projects and your approach to scaling ML infrastructure in hybrid or on-prem environments. Demonstrating your strategic vision and ability to align technical execution with business goals will be crucial for success in this interview.