12 hours ago
Responsibilities
- Provide technical leadership for next-generation AI infrastructure.
- Shape architecture and long-term technical strategy for large-scale training and inference systems.
- Build systems that train, deploy, and scale frontier and production models across diverse accelerator platforms.
- Set long-term architectural vision across organizations.
- Mentor senior engineers.
- Profile, debug, and optimize ML systems performance.
Requirements
- Bachelor’s degree in Computer Science or a relevant technical field, or equivalent practical experience.
- 15 years of experience designing and building very large-scale distributed systems.
- 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 of mentoring senior engineers and setting long-term architectural vision across organizations.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: Experience running distributed training or inference workloads in production.
- Preferred: Expertise in ML systems performance profiling, debugging, and optimization.
- Preferred: Expertise in deep learning frameworks such as PyTorch and JAX and their underlying architectures.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.