Apple
Distinguished Engineer, AI Infrastructure
$296K–$497K
Cupertino, California +1 · Principal · Full-time · Posted Oct 6, 2026
- Location
- Cupertino, California
Seattle, Washington - Experience
- 15 years designing and building very large-scale distributed systems.
- Education
- Bachelor’s degree in Computer Science, relevant technical field, or equivalent practical experience; a Master’s degree or PhD is preferred.
About the job
Provides technical leadership and sets architecture and strategy for Apple’s large-scale AI training and inference infrastructure across heterogeneous, multi-cloud accelerator platforms.
What you'll do
- Define the technical vision and roadmap for frontier AI infrastructure.
- Design and build distributed systems for job scheduling, cluster management, and cost governance.
- Partner with ML teams and cross-functional groups to scale and optimize training and inference workloads.
What they ask for
- Bachelor’s degree in Computer Science, a relevant technical field, or equivalent practical experience.
- Proficiency in at least one backend language, such as Python, C++, Go, or Rust.
- Proficiency in cloud-native architectures and compute orchestration platforms such as Kubernetes.
- Hands-on experience with ML accelerators such as GPUs and TPUs; track record mentoring senior engineers and setting long-term architectural vision across organizations.
Nice to have
- Master’s degree or PhD in Computer Science or related technical fields.
- Production experience with distributed training or inference; expertise in ML performance profiling and deep learning frameworks such as PyTorch or JAX.
Pay
$311,100 and $496,900 USD base salary; $295,600 and $472,200 USD base salary
Tools
Python, C++, Go, Rust, Kubernetes, GPUs, TPUs, PyTorch
AI focus
Leads infrastructure architecture for training and inference systems, optimizing and scaling frontier and production models across accelerator platforms.
Model-written summary · the original posting is authoritative