RESPONSIBILITIES:- Drive the overall strategy and execution of the ADP Compute Platform.- Identify opportunities and drive a strategic approach to contributing to open source.
12+ years of software development experience in Data and AI platforms and infrastructure.
8+ years of engineering people management experience—leading, mentoring, and growing teams.
10+ years of experience building and operationalizing data platform technologies on AWS, Azure, GCP, and on-premises infrastructures.
Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate platform adoption.
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.
BS, MS, or Ph.D. in Computer Science or a related field of study.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.