Data Center Cluster Architect
Summary
Posted: Jan 22, 2025 Weekly Hours: 40 Role Number:200582452 The Datacenter Systems Architecture team seeks an outstanding Cluster architect to design and optimize computer architectures specifically for high-performance computing (HPC) clusters. This position is a multi-disciplinary and cross-functional lead engineering role encompassing all aspects of computer system design. The candidate will have 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. Description Description As a technical specialist, negotiate and document the solution details of the infrastructure from a physical, electrical, and logical perceptive of compute clusters within the datacenter. Collaborate and leverage domain expertise knowledge to provide guidance, and leadership to cross-functional engineering teams to integrate cluster network architectures into overall system architecture to ensure efficient data flow, impact product definitions, and meet scalability requirements. Define the rack and cluster capabilities, configurations, and scale out requirements to support the deployment of dense compute and specialty compute workloads and applications, including but not limited to the following: Pathfinding on novel cluster architecture choices with a broad group of architects and system engineers, networking, technical leads, and HW/SW stakeholders. Creating optimized network designs for large-scale AI/ML clusters considering factors like bandwidth, latency, and scalability. Influencing networking hardware and software components selection for the cluster, including switches, adapters, and protocols. Analyzing network traffic patterns and implementing strategies to improve data transfer speeds within the cluster for target topologies and choice configurations. Collaborate with mechanical, physical, electrical, thermal, power, networking, OS, SW, datacenter infrastructure stakeholders for performant scalable deployments. Be innovative and curious. Explore and champion new product-level features and workflows. Define, develop and utilize tools, scripts, automation and methods of system analysis for performance of compute clusters within a DC environment. Mentor junior engineers to best practices and data-driven processes The role may require occasional domestic and international travel.
Minimum Qualifications
Minimum Qualifications
- BS/MS in Electrical Engineering or equivalent with 10+ years of relevant industry experience.
- Possesses strong technical breadth across several computer subsystem technologies, e.g., CPU, GPU, TPU, storage, memory, power delivery, power management, high speed networking, I/O, thermal management.
- Has core competence and subject matter expertise architecting complex system architectures for general purpose compute, or specialty compute (GPUs, TPUs) systems running datacenter workloads for AI/ML applications.
- Comprehends the roles of HW/FW/SW layers and how they interact in system design.
- Ability to create, review and approve engineering requirement specification documents
Key Qualifications Key Qualifications
Preferred Qualifications
Preferred Qualifications
- Possesses functional experience in defining and deploying datacenter cluster networking architectures over highly dense mesh networks and interconnected nodes for AI/ML based workloads.
- Detailed knowledge of network protocols, expertise in Ethernet, Infiniband, RoCE, UE, UAL, or other relevant networking protocols.
- Has strong analytical, verbal, written, and communication skills. Ability to summarize and effectively communicate technical issues and actions to key stakeholders and leadership teams
Education & Experience Education & Experience Additional Requirements Additional Requirements More
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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