Apple is seeking to deliver scalable, secure, and user-friendly infrastructure to power Apple’s Data and AI platforms, enhancing customer experience across products and services.
Requirements
- 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.
- Deep expertise in distributed systems and cloud-native infrastructure, including Kubernetes, serverless computing, and container orchestration.
- Experience with data governance, compliance, and scalable data management.
- Experience with batch and real-time data processing, embeddings management, feature stores, lakehouse architecture, data virtualization, and inference-as-a-service.
- Experience with open-source technologies such as Ray, Spark, Flink, and Iceberg across multi-cloud and on-premises environments.
- Experience with AWS, Azure, GCP, and on-premises environments.
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.
- Own and drive key initiatives in cost efficiency, business and system observability, cost attribution, and capacity management.
Other
- 12+ years of software development experience in Data and/or AI platform infrastructure.
- 10+ years of engineering management experience, including leading, mentoring, and scaling high-performing technical teams.
- BS, MS, or Ph.D. in Computer Science or a related technical field.
- Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate adoption and execution.
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
