Systems Architect - Data Center
Apple
Systems Architect - Data Center
Job Description
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! As a Technical Specialist, the individual will negotiate and model Data Center infrastructure solution details from a computer architecture and performance perceptive. Collaborate and leverage domain expertise knowledge to provide guidance, and leadership to multi-functional engineering teams to 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 to support the deployment of dense compute and specialty compute workloads and applications, including but not limited to the following: Pathfinding novel Data Center cluster and node architecture choices with a broad group of architects and system engineers, networking, technical leads, and HW/SW partners. Providing guidance in 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. Collaborating with mechanical, physical, electrical, thermal, power, networking, OS, SW, datacenter infrastructure stakeholders for performant scalable deployments. Exploring and champion new product-level features and workflows. Mentoring junior engineers to best practices and data-driven processes.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- creating complex system architecturesintermediate
- design and optimization of computer architecturesintermediate
- focus on performanceintermediate
- negotiate and model Data Center infrastructure solution detailsintermediate
- computer architecture and performance perspectiveintermediate
- provide guidance and leadership to multi-functional engineering teamsintermediate
- integrate cluster network architectures into overall system architectureintermediate
- ensure efficient data flowintermediate
- impact product definitionsintermediate
- meet scalability requirementsintermediate
- definition of rack and cluster capabilitiesintermediate
- configurations and scale out requirementsintermediate
- support deployment of dense compute and specialty compute workloadsintermediate
- pathfinding novel Data Center cluster and node architecture choicesintermediate
- optimized network designs for large-scale AI/ML clustersintermediate
- considering bandwidth latency and scalabilityintermediate
- influencing networking hardware and software components selectionintermediate
- switches adapters and protocolsintermediate
- analyzing network traffic patternsintermediate
- implementing strategies to improve data transfer speedsintermediate
- target topologies and choice configurationsintermediate
- collaborating with mechanical physical electrical thermal power networking OS SW datacenter infrastructure stakeholdersintermediate
- performant scalable deploymentsintermediate
- exploring and champion new product-level features and workflowsintermediate
- mentoring junior engineersintermediate
- best practices and data-driven processesintermediate
Required Qualifications
- BS/MS in Computer Engineering or equivalent with 10+ years of relevant industry experience. (experience, 10 years)
- Possesses functional experience in defining and deploying datacenter cluster networking architectures over highly dense mesh networks and interconnected nodes for AI/ML based workloads. (experience)
- Proven track record of deploying AI/ML experiences at scale in large-scale data centers; Has strong experience with deployment of modern ML architectures. (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. (experience)
- 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. (experience)
Preferred Qualifications
- Detailed knowledge of network protocols, expertise in Ethernet, Infiniband, RoCE, UE, UAL, or other relevant networking protocols. (experience)
- Has strong analytical, verbal, written, and communication skills. Ability to summarize and effectively communicate technical issues and actions to key partners and leadership teams (experience)
- Ability to comprehend the roles of HW/FW/SW layers and how they interact in system design. (experience)
- Ability to create, review and approve engineering requirement specification documents. (experience)
- Prior experience with data center and large-scale cluster systems is desired. (experience)
- Machine Learning experience is desired. (experience)
- Prior experience in performance modeling is desired. (experience)
Responsibilities
- As a Technical Specialist, the individual will negotiate and model Data Center infrastructure solution details from a computer architecture and performance perceptive. Collaborate and leverage domain expertise knowledge to provide guidance, and leadership to multi-functional engineering teams to 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 to support the deployment of dense compute and specialty compute workloads and applications, including but not limited to the following:
- Pathfinding novel Data Center cluster and node architecture choices with a broad group of architects and system engineers, networking, technical leads, and HW/SW partners.
- Providing guidance in 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.
- Collaborating with mechanical, physical, electrical, thermal, power, networking, OS, SW, datacenter infrastructure stakeholders for performant scalable deployments.
- Exploring and champion new product-level features and workflows.
- Mentoring junior engineers to best practices and data-driven processes.
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Answer 10 quick questions to check your fit for Systems Architect - Data Center @ Apple.
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Systems Architect - Data Center
Apple
Systems Architect - Data Center
Job Description
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! As a Technical Specialist, the individual will negotiate and model Data Center infrastructure solution details from a computer architecture and performance perceptive. Collaborate and leverage domain expertise knowledge to provide guidance, and leadership to multi-functional engineering teams to 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 to support the deployment of dense compute and specialty compute workloads and applications, including but not limited to the following: Pathfinding novel Data Center cluster and node architecture choices with a broad group of architects and system engineers, networking, technical leads, and HW/SW partners. Providing guidance in 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. Collaborating with mechanical, physical, electrical, thermal, power, networking, OS, SW, datacenter infrastructure stakeholders for performant scalable deployments. Exploring and champion new product-level features and workflows. Mentoring junior engineers to best practices and data-driven processes.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- creating complex system architecturesintermediate
- design and optimization of computer architecturesintermediate
- focus on performanceintermediate
- negotiate and model Data Center infrastructure solution detailsintermediate
- computer architecture and performance perspectiveintermediate
- provide guidance and leadership to multi-functional engineering teamsintermediate
- integrate cluster network architectures into overall system architectureintermediate
- ensure efficient data flowintermediate
- impact product definitionsintermediate
- meet scalability requirementsintermediate
- definition of rack and cluster capabilitiesintermediate
- configurations and scale out requirementsintermediate
- support deployment of dense compute and specialty compute workloadsintermediate
- pathfinding novel Data Center cluster and node architecture choicesintermediate
- optimized network designs for large-scale AI/ML clustersintermediate
- considering bandwidth latency and scalabilityintermediate
- influencing networking hardware and software components selectionintermediate
- switches adapters and protocolsintermediate
- analyzing network traffic patternsintermediate
- implementing strategies to improve data transfer speedsintermediate
- target topologies and choice configurationsintermediate
- collaborating with mechanical physical electrical thermal power networking OS SW datacenter infrastructure stakeholdersintermediate
- performant scalable deploymentsintermediate
- exploring and champion new product-level features and workflowsintermediate
- mentoring junior engineersintermediate
- best practices and data-driven processesintermediate
Required Qualifications
- BS/MS in Computer Engineering or equivalent with 10+ years of relevant industry experience. (experience, 10 years)
- Possesses functional experience in defining and deploying datacenter cluster networking architectures over highly dense mesh networks and interconnected nodes for AI/ML based workloads. (experience)
- Proven track record of deploying AI/ML experiences at scale in large-scale data centers; Has strong experience with deployment of modern ML architectures. (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. (experience)
- 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. (experience)
Preferred Qualifications
- Detailed knowledge of network protocols, expertise in Ethernet, Infiniband, RoCE, UE, UAL, or other relevant networking protocols. (experience)
- Has strong analytical, verbal, written, and communication skills. Ability to summarize and effectively communicate technical issues and actions to key partners and leadership teams (experience)
- Ability to comprehend the roles of HW/FW/SW layers and how they interact in system design. (experience)
- Ability to create, review and approve engineering requirement specification documents. (experience)
- Prior experience with data center and large-scale cluster systems is desired. (experience)
- Machine Learning experience is desired. (experience)
- Prior experience in performance modeling is desired. (experience)
Responsibilities
- As a Technical Specialist, the individual will negotiate and model Data Center infrastructure solution details from a computer architecture and performance perceptive. Collaborate and leverage domain expertise knowledge to provide guidance, and leadership to multi-functional engineering teams to 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 to support the deployment of dense compute and specialty compute workloads and applications, including but not limited to the following:
- Pathfinding novel Data Center cluster and node architecture choices with a broad group of architects and system engineers, networking, technical leads, and HW/SW partners.
- Providing guidance in 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.
- Collaborating with mechanical, physical, electrical, thermal, power, networking, OS, SW, datacenter infrastructure stakeholders for performant scalable deployments.
- Exploring and champion new product-level features and workflows.
- Mentoring junior engineers to best practices and data-driven processes.
Tags & Categories
Answer 10 quick questions to check your fit for Systems Architect - Data Center @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs