Apple Data Platform (ADP) 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 delivers 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 technologies empower analytics and AI workflows across Apple’s ecosystem, enabling 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.
Requirements
- 12+ years of software development experience in Data and/or AI platform infrastructure, with a proven track record of building and operationalizing solutions across AWS, Azure, GCP, and on-premises environments.
- Deep expertise in distributed systems and cloud-native infrastructure, including Kubernetes, serverless computing, and container orchestration.
- Demonstrated success driving data/AI infrastructure cost efficiency through observability, attribution, and collaboration with service, customer, and SRE teams.
- Expertise in AI/ML workload orchestration and scheduling, with a focus on optimizing resource allocation for large-scale training, inference, and data processing pipelines.
- Experience leveraging GenAI agents and tools to optimize infrastructure deployment, automate efficiency initiatives, and enhance developer and operational productivity.
Responsibilities
- Drive the overall strategy, design, and execution of the ADP Data and AI Infrastructure Platform.
- Collaborate with key stakeholders and partner teams to deliver integrations, ensure compliance, optimize cost efficiency, and enhance user experience.
- Partner with internal product and customer teams to shape the platform roadmap and accelerate platform adoption across Apple.
- Lead and mentor engineering teams, providing guidance, feedback, and career development opportunities.
- Foster a culture of technical excellence, innovation, collaboration, and continuous learning.
- Identify opportunities to contribute strategically to open-source communities and represent Apple’s leadership in data and AI infrastructure.
Other
- 10+ years of engineering management experience, including leading, mentoring, and scaling high-performing technical teams.
- Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate adoption and execution.
- BS, MS, or Ph.D. in Computer Science or a related technical field.
- The base pay range for this role is between $198,300 and $342,800
- Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
