Senior Engineering Manager, Apple Data Platform
Apple
Senior Engineering Manager, Apple Data Platform
Job Description
Apple Data Platform serves as a foundational building block for Apple’s Services, Software, and AI/ML ecosystem, providing advanced data governance, compliance, and scalable data management. It offers a comprehensive suite of capabilities, including batch and real-time data processing, embeddings management, feature stores, lakehouse architecture, data virtualization, and inference as a service. These tools empower analytics and AI workflows across Apple’s ecosystem, driving seamless integration and innovation across products and services. Leveraging open-source technologies such as Ray, Spark, Flink, and Iceberg across multi-cloud and on-premises environments, the Apple Data Platform powers data-driven intelligence that continuously enhances the customer experience. We are seeking a Senior Engineering Leader with a passion for delivering scalable, secure, and user-friendly infrastructure for all of Data and AI platforms. As a Senior Engineering Manager, you will lead teams responsible for building and managing platforms that provide compute abstraction, advanced scheduling, cost efficiency, observability, and capacity management for all Data and AI workloads at Apple.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
8,000,000 - 15,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data governanceintermediate
- complianceintermediate
- scalable data managementintermediate
- batch data processingintermediate
- real-time data processingintermediate
- embeddings managementintermediate
- feature storesintermediate
- lakehouse architectureintermediate
- data virtualizationintermediate
- inference as a serviceintermediate
- analyticsintermediate
- AI workflowsintermediate
- seamless integrationintermediate
- innovationintermediate
- Rayintermediate
- Sparkintermediate
- Flinkintermediate
- Icebergintermediate
- multi-cloud environmentsintermediate
- on-premises environmentsintermediate
- data-driven intelligenceintermediate
- scalable infrastructureintermediate
- secure infrastructureintermediate
- user-friendly infrastructureintermediate
- compute abstractionintermediate
- advanced schedulingintermediate
- cost efficiencyintermediate
- observabilityintermediate
- capacity managementintermediate
- leadershipintermediate
- team managementintermediate
Required Qualifications
- 12+ years of software development experience in Data and AI platforms and infrastructure. (experience, 12 years)
- 8+ years of engineering people management experience—leading, mentoring, and growing teams. (experience, 8 years)
- 10+ years of experience building and operationalizing data platform technologies on AWS, Azure, GCP, and on-premises infrastructures. (experience, 10 years)
- Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate platform adoption. (experience)
- Expertise in distributed systems and cloud-native infrastructure, including Kubernetes, serverless computing, and container orchestration. (experience)
- Experience designing and optimizing large-scale compute platforms with advanced scheduling, resource management, and cost efficiency considerations. (experience)
- BS, MS, or Ph.D. in Computer Science or a related field of study. (experience)
Preferred Qualifications
- Expertise in AI/ML workload orchestration and scheduling, including optimizing resource allocation for large-scale training, inference, and data processing pipelines. (experience)
- Experience building and managing AI infrastructure platforms, integrating frameworks like TensorFlow, PyTorch, Ray, and Spark with distributed compute environments. (experience)
- Deep understanding of AI cost efficiency and performance optimization, leveraging techniques such as model parallelism, heterogeneous compute scheduling (GPUs, TPUs), and auto-scaling for AI workloads. (experience)
Responsibilities
- As a Senior Engineering Manager, you will lead teams responsible for building and managing platforms that provide compute abstraction, advanced scheduling, cost efficiency, observability, and capacity management for all Data and AI workloads at Apple.
- Drive the overall strategy and execution of the ADP Compute Platform.
- Collaborate with key stakeholders and partners to deliver integrations, compliance, cost efficiency, and an optimal experience.
- Partner with internal customers and product teams to drive the platform roadmap and accelerate adoption of the platform.
- Lead and mentor a team of engineers, providing guidance, support, and professional development opportunities.
- Cultivate a culture of collaboration, innovation, and continuous learning within the team.
- Identify opportunities and drive a strategic approach to contributing to open source.
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Senior Engineering Manager, Apple Data Platform
Apple
Senior Engineering Manager, Apple Data Platform
Job Description
Apple Data Platform serves as a foundational building block for Apple’s Services, Software, and AI/ML ecosystem, providing advanced data governance, compliance, and scalable data management. It offers a comprehensive suite of capabilities, including batch and real-time data processing, embeddings management, feature stores, lakehouse architecture, data virtualization, and inference as a service. These tools empower analytics and AI workflows across Apple’s ecosystem, driving seamless integration and innovation across products and services. Leveraging open-source technologies such as Ray, Spark, Flink, and Iceberg across multi-cloud and on-premises environments, the Apple Data Platform powers data-driven intelligence that continuously enhances the customer experience. We are seeking a Senior Engineering Leader with a passion for delivering scalable, secure, and user-friendly infrastructure for all of Data and AI platforms. As a Senior Engineering Manager, you will lead teams responsible for building and managing platforms that provide compute abstraction, advanced scheduling, cost efficiency, observability, and capacity management for all Data and AI workloads at Apple.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
8,000,000 - 15,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data governanceintermediate
- complianceintermediate
- scalable data managementintermediate
- batch data processingintermediate
- real-time data processingintermediate
- embeddings managementintermediate
- feature storesintermediate
- lakehouse architectureintermediate
- data virtualizationintermediate
- inference as a serviceintermediate
- analyticsintermediate
- AI workflowsintermediate
- seamless integrationintermediate
- innovationintermediate
- Rayintermediate
- Sparkintermediate
- Flinkintermediate
- Icebergintermediate
- multi-cloud environmentsintermediate
- on-premises environmentsintermediate
- data-driven intelligenceintermediate
- scalable infrastructureintermediate
- secure infrastructureintermediate
- user-friendly infrastructureintermediate
- compute abstractionintermediate
- advanced schedulingintermediate
- cost efficiencyintermediate
- observabilityintermediate
- capacity managementintermediate
- leadershipintermediate
- team managementintermediate
Required Qualifications
- 12+ years of software development experience in Data and AI platforms and infrastructure. (experience, 12 years)
- 8+ years of engineering people management experience—leading, mentoring, and growing teams. (experience, 8 years)
- 10+ years of experience building and operationalizing data platform technologies on AWS, Azure, GCP, and on-premises infrastructures. (experience, 10 years)
- Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate platform adoption. (experience)
- Expertise in distributed systems and cloud-native infrastructure, including Kubernetes, serverless computing, and container orchestration. (experience)
- Experience designing and optimizing large-scale compute platforms with advanced scheduling, resource management, and cost efficiency considerations. (experience)
- BS, MS, or Ph.D. in Computer Science or a related field of study. (experience)
Preferred Qualifications
- Expertise in AI/ML workload orchestration and scheduling, including optimizing resource allocation for large-scale training, inference, and data processing pipelines. (experience)
- Experience building and managing AI infrastructure platforms, integrating frameworks like TensorFlow, PyTorch, Ray, and Spark with distributed compute environments. (experience)
- Deep understanding of AI cost efficiency and performance optimization, leveraging techniques such as model parallelism, heterogeneous compute scheduling (GPUs, TPUs), and auto-scaling for AI workloads. (experience)
Responsibilities
- As a Senior Engineering Manager, you will lead teams responsible for building and managing platforms that provide compute abstraction, advanced scheduling, cost efficiency, observability, and capacity management for all Data and AI workloads at Apple.
- Drive the overall strategy and execution of the ADP Compute Platform.
- Collaborate with key stakeholders and partners to deliver integrations, compliance, cost efficiency, and an optimal experience.
- Partner with internal customers and product teams to drive the platform roadmap and accelerate adoption of the platform.
- Lead and mentor a team of engineers, providing guidance, support, and professional development opportunities.
- Cultivate a culture of collaboration, innovation, and continuous learning within the team.
- Identify opportunities and drive a strategic approach to contributing to open source.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Engineering Manager, Apple Data Platform @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs