Systems Architect - Data Center

AppleCupertino, CA
74d

About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple! Do you want to impact billions of users by developing an extraordinary product with a prime focus on accuracy, understandability, and performance of the product? Dynamic, Inspiring people and Innovative technologies are the norm here. The Systems Performance Architecture team is seeking an outstanding Data Center Architect to contribute to the design and optimization of computer architectures specifically for Machine Learning and Artificial Intelligence applications. This position is a multi-disciplinary and multi-functional lead engineering role encompassing all aspects of computer system design with a focus on performance. The candidate will need the skills and experience to create complex system architectures, surprise and delight our customers, and advance our products' performance, size, power, thermal and cost goals. Our team is collaborative, creative and passionate about what we do and the value we add in future product designs. Come join us!

Requirements

  • Detailed knowledge of network protocols, expertise in Ethernet, Infiniband, RoCE, UE, UAL, or other relevant networking protocols.
  • Strong analytical, verbal, written, and communication skills.
  • Ability to summarize and effectively communicate technical issues and actions to key partners and leadership teams.
  • Ability to comprehend the roles of HW/FW/SW layers and how they interact in system design.
  • Ability to create, review and approve engineering requirement specification documents.
  • Prior experience with data center and large-scale cluster systems.
  • Machine Learning experience.
  • Prior experience in performance modeling.

Responsibilities

  • Negotiate and model Data Center infrastructure solution details from a computer architecture and performance perspective.
  • Collaborate and leverage domain expertise knowledge to provide guidance and leadership to multi-functional engineering teams.
  • Integrate cluster network architectures into overall system architecture to ensure efficient data flow.
  • Impact product definitions and meet scalability requirements.
  • Contribute to the definition of rack and cluster capabilities, configurations, and scale out requirements.
  • Pathfinding novel Data Center cluster and node architecture choices.
  • Provide guidance in optimized network designs for large-scale AI/ML clusters.
  • Influence networking hardware and software components selection for the cluster.
  • Analyze network traffic patterns and implement strategies to improve data transfer speeds.
  • Collaborate with various stakeholders for performant scalable deployments.
  • Explore and champion new product-level features and workflows.
  • Mentor junior engineers to best practices and data-driven processes.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service