Overview
USD 190,700.00 - 329,600.00 per year
Full Time
Skills
Data Governance
Data Management
Real-time
Virtualization
Analytics
Workflow
Apache Flink
Customer Experience
Capacity Management
Regulatory Compliance
Roadmaps
Professional Development
Innovation
Open Source
Software Development
People Management
Mentorship
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Leadership
Collaboration
Cloud Computing
Kubernetes
Resource Management
Computer Science
Machine Learning (ML)
Orchestration
Resource Allocation
Training
Data Processing
Management
TensorFlow
PyTorch
Apache Spark
Performance Tuning
Scheduling
Artificial Intelligence
Payments
Job Details
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.
Description 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. 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.
Minimum Qualifications
Preferred Qualifications
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $190,700 and $329,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Description 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. 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.
Minimum Qualifications
- 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, Google Cloud Platform, 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.
Preferred Qualifications
- 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.
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $190,700 and $329,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.