Overview
USD 190,700.00 - 329,600.00 per year
Full Time
Skills
Software Engineering
Workflow
Team Building
Real-time
Regulatory Compliance
Roadmaps
Mentorship
Professional Development
Innovation
Open Source
Software Development
Communication
Leadership
Collaboration
Cloud Computing
Kubernetes
Resource Management
Conflict Resolution
Problem Solving
Computer Science
Machine Learning (ML)
Orchestration
Scheduling
Resource Allocation
Training
Data Processing
Management
Artificial Intelligence
TensorFlow
PyTorch
Apache Spark
Payments
Job Details
Apple Data Platform provides the machine learning, AI and data services that enables Apple product teams to build the intelligent systems and services being shipped in Apple products. We are the platform providing the building blocks for Apple Services, Software and AI/ML organizations for large scale ML and data processing. We provide a comprehensive suite of capabilities leveraging open source technologies like Ray and Spark that empower teams to build AI workflows, train models, analyze data, and perform data transformations at Apple scale and with strong governance. We are looking for Engineering leaders with a passion for building unified orchestration solutions to power the data, ML and AI workloads of the platform and our customers. This engineering manager will lead the team building the end to end system enabling real time, offline and batch orchestration of the platform and ecosystem. Join us to build the best in class AI, data and ML platforms.
Description As an Engineering Manager you will be responsible for the overall Orchestration System for the entire Apple Data Platform. You will be engaging with stakeholders, partners and customers to design and implement the services to operate at Apple scale. - Drive the overall execution and strategy of Apple Data Platform Orchestration Service - Lead a team of exceptional software engineers to build the best in class service and 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 an Engineering Manager you will be responsible for the overall Orchestration System for the entire Apple Data Platform. You will be engaging with stakeholders, partners and customers to design and implement the services to operate at Apple scale. - Drive the overall execution and strategy of Apple Data Platform Orchestration Service - Lead a team of exceptional software engineers to build the best in class service and 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
- 5+ years of experience in managing Engineering teams.
- 10+ years of software development experience in Data and AI platforms and infrastructure
- Excellent verbal and written communication skills, able to collaborate with other teams across Apple.
- 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, Data and ML orchestration systems
- Experience designing and optimizing large-scale compute platforms with advanced scheduling, resource management, and cost efficiency considerations.
- Experience in influencing and driving key product innovations and opportunities across a diverse set of global partners
- Superb problem-solving skills, and the ability to thrive in a fast-paced and dynamic environment
- BS, MS, or Ph.D. degree in Computer Science or equivalent experience
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, enabling frameworks like TensorFlow, PyTorch, Ray, and Spark with distributed compute environments
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.