Apple Data Platform needs to provide scalable, secure, and user-friendly infrastructure for all Data and AI platforms, including compute abstraction, advanced scheduling, cost efficiency, observability, and capacity management for all Data and AI workloads at Apple.
Requirements
- 12+ years of software development experience in Data and AI platforms and infrastructure.
- 10+ years of experience building and operationalizing data platform technologies on AWS, Azure, GCP, and on-premises infrastructures.
- Expertise in distributed systems and cloud-native infrastructure, including Kubernetes, serverless computing, and container orchestration.
- Experience designing and optimizing large-scale compute platforms with advanced scheduling, resource management, and cost efficiency considerations.
- Expertise in AI/ML workload orchestration and scheduling, including optimizing resource allocation for large-scale training, inference, and data processing pipelines.
- Experience building and managing AI infrastructure platforms, integrating frameworks like TensorFlow, PyTorch, Ray, and Spark with distributed compute environments.
- 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.
Responsibilities
- 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.
Other
- 8+ years of engineering people management experience-leading, mentoring, and growing teams.
- Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate platform adoption.
- BS, MS, or Ph.D. in Computer Science or a related field of study.
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
