Engineering Manager Jobs at Apple with Visa Sponsorship
Engineering Manager roles at Apple sit at the intersection of hardware innovation and large-scale team leadership, spanning silicon design, device engineering, and manufacturing systems. Apple sponsors a broad range of work visas for this function, making it a realistic target for international candidates with strong technical leadership backgrounds.
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Get Access To All JobsINTRODUCTION
Apple Data Platform (ADP) 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 delivers 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 technologies empower analytics and AI workflows across Apple’s ecosystem, enabling 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, ADP powers data-driven intelligence that continuously enhances the customer experience.
DESCRIPTION
As a Senior Engineering Manager, you will lead the engineering teams responsible for the unit economics and financial engineering of the ADP. You will be a hands-on technical leader, driving the design and operation of high-performance systems that provide deep visibility, cost attribution, and capacity optimization for massive-scale data and AI workloads.
Your mission is to ensure that our global footprint spanning first-party data centers and multiple public clouds (AWS, GCP, etc.) is as economically efficient as it is technically performant. You will bridge the gap between infrastructure engineering and operational accountability, translating complex resource consumption patterns into optimized platform configurations at Apple scale.
Responsibilities
Drive capacity and financial engineering execution:
- Multi-Cloud Implementation: Execute efficiency strategies across first-party and public cloud environments, ensuring technical alignment between varying resource models and hardware availability.
- Attribution Engine Ownership: Lead the development and scaling of systems that provide granular cost attribution and "showback" for diverse workloads (Spark, Streaming, Ray).
- Capacity Planning: Build predictive models for infrastructure growth and manage the technical execution of capacity expansions to minimize idle waste.
- Unit Economics Delivery: Establish and track "cost-per-workload" metrics, providing direct technical guidance to product teams on optimizing their infrastructure footprint.
Architect observability and governance platforms:
- Automated Right-Sizing: Direct the engineering of orchestration layers that manage resource lifecycles and automated right-sizing across first-party and public cloud environments.
- Incident & Anomaly Response: Lead the technical response to resource spikes or efficiency regressions, ensuring rapid remediation in production.
- Metadata & Tagging Standards: Define and enforce technical frameworks for resource tagging and multi-tenant isolation to ensure 100% usage transparency.
Collaborate across the organization:
- Technical Consulting: Act as a subject matter expert for platform customers (Data Engineers, ML Researchers) to resolve complex efficiency bottlenecks.
- Hardware Alignment: Partner with internal capacity teams and external providers to evaluate and adopt new instance types and hardware configurations that match Apple’s specific workload patterns.
Lead and develop engineering teams:
- Direct Management: Manage and mentor a team of managers and/or high-level individual contributors, fostering deep technical expertise in systems efficiency.
- Execution Roadmap: Define 6-12 month technical roadmaps that deliver measurable efficiency gains while supporting high-velocity AI and Data development.
MINIMUM QUALIFICATIONS
- 10+ years of experience building and operating very large-scale data/AI infrastructure in production environments.
- 3-5+ years of engineering management experience, with a track record of leading technical teams in the infrastructure space.
- Hands-on Multi-Cloud Experience: Proven ability to optimize workloads across multiple environments (e.g., AWS, GCP, and on-premises/first-party).
- Systems Engineering Background: Strong technical grasp of Kubernetes, Spark, and Ray, with the ability to dive into resource scheduling and platform internals.
- Data-Driven Impact: Proven ability to deliver measurable TCO improvements through architectural changes and automated governance.
- Education: BS or MS in Computer Science, Electrical Engineering, or a related field.
PREFERRED QUALIFICATIONS
- Advanced Capacity Modeling: Experience building tools for proactive capacity forecasting in high-growth AI environments.
- Deep Profiling Skills: Expertise in identifying resource bottlenecks at the system level (CPU, Memory, I/O) to drive unit cost reduction.
- FinOps Implementation: Experience applying FinOps principles to large-scale, multi-tenant container platforms.
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 $228,100 and $342,800, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Apple Data Platform (ADP) 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 delivers 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 technologies empower analytics and AI workflows across Apple’s ecosystem, enabling 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, ADP powers data-driven intelligence that continuously enhances the customer experience.
DESCRIPTION
As a Senior Engineering Manager, you will lead the engineering teams responsible for the unit economics and financial engineering of the ADP. You will be a hands-on technical leader, driving the design and operation of high-performance systems that provide deep visibility, cost attribution, and capacity optimization for massive-scale data and AI workloads.
Your mission is to ensure that our global footprint spanning first-party data centers and multiple public clouds (AWS, GCP, etc.) is as economically efficient as it is technically performant. You will bridge the gap between infrastructure engineering and operational accountability, translating complex resource consumption patterns into optimized platform configurations at Apple scale.
Responsibilities
Drive capacity and financial engineering execution:
- Multi-Cloud Implementation: Execute efficiency strategies across first-party and public cloud environments, ensuring technical alignment between varying resource models and hardware availability.
- Attribution Engine Ownership: Lead the development and scaling of systems that provide granular cost attribution and "showback" for diverse workloads (Spark, Streaming, Ray).
- Capacity Planning: Build predictive models for infrastructure growth and manage the technical execution of capacity expansions to minimize idle waste.
- Unit Economics Delivery: Establish and track "cost-per-workload" metrics, providing direct technical guidance to product teams on optimizing their infrastructure footprint.
Architect observability and governance platforms:
- Automated Right-Sizing: Direct the engineering of orchestration layers that manage resource lifecycles and automated right-sizing across first-party and public cloud environments.
- Incident & Anomaly Response: Lead the technical response to resource spikes or efficiency regressions, ensuring rapid remediation in production.
- Metadata & Tagging Standards: Define and enforce technical frameworks for resource tagging and multi-tenant isolation to ensure 100% usage transparency.
Collaborate across the organization:
- Technical Consulting: Act as a subject matter expert for platform customers (Data Engineers, ML Researchers) to resolve complex efficiency bottlenecks.
- Hardware Alignment: Partner with internal capacity teams and external providers to evaluate and adopt new instance types and hardware configurations that match Apple’s specific workload patterns.
Lead and develop engineering teams:
- Direct Management: Manage and mentor a team of managers and/or high-level individual contributors, fostering deep technical expertise in systems efficiency.
- Execution Roadmap: Define 6-12 month technical roadmaps that deliver measurable efficiency gains while supporting high-velocity AI and Data development.
MINIMUM QUALIFICATIONS
- 10+ years of experience building and operating very large-scale data/AI infrastructure in production environments.
- 3-5+ years of engineering management experience, with a track record of leading technical teams in the infrastructure space.
- Hands-on Multi-Cloud Experience: Proven ability to optimize workloads across multiple environments (e.g., AWS, GCP, and on-premises/first-party).
- Systems Engineering Background: Strong technical grasp of Kubernetes, Spark, and Ray, with the ability to dive into resource scheduling and platform internals.
- Data-Driven Impact: Proven ability to deliver measurable TCO improvements through architectural changes and automated governance.
- Education: BS or MS in Computer Science, Electrical Engineering, or a related field.
PREFERRED QUALIFICATIONS
- Advanced Capacity Modeling: Experience building tools for proactive capacity forecasting in high-growth AI environments.
- Deep Profiling Skills: Expertise in identifying resource bottlenecks at the system level (CPU, Memory, I/O) to drive unit cost reduction.
- FinOps Implementation: Experience applying FinOps principles to large-scale, multi-tenant container platforms.
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 $228,100 and $342,800, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding Engineering Manager Jobs at Apple Jobs
Align your credentials to Apple's hardware stack
Apple's Engineering Manager roles typically require deep domain expertise in areas like silicon, sensors, or display systems. Before applying, verify your degree and experience map to the specific hardware discipline you're targeting, not engineering management broadly.
Target teams with active LCA filings
Search DOL's LCA disclosure data for Apple's prevailing wage filings by job title and worksite. Focusing on locations with recent certified LCAs signals where Apple is actively hiring and filing sponsorship paperwork for Engineering Manager positions.
Distinguish yourself through cross-functional leadership scope
Apple evaluates Engineering Managers on their ability to drive execution across hardware, software, and operations simultaneously. Demonstrating experience managing multi-disciplinary teams on product cycles, not just engineering headcount, positions you more competitively in their process.
Use Migrate Mate to find open Engineering Manager roles
Apple's Engineering Manager openings are distributed across multiple internal teams and aren't always easy to track. Use Migrate Mate to browse and filter verified roles at Apple that explicitly support visa sponsorship for this position level.
Account for PERM labor certification timelines if targeting a Green Card
If Apple offers EB-2 or EB-3 sponsorship, PERM certification alone can take 12 to 18 months before USCIS even receives your I-140. Factor this into your career planning, especially if you're already on a time-limited status like OPT or H-1B.
Engineering Manager at Apple jobs are hiring across the US. Find yours.
Find Engineering Manager at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Engineering Managers?
Yes, Apple sponsors H-1B visas for Engineering Manager roles. Apple participates in the annual H-1B lottery each April, and Engineering Managers are among the technical leadership positions regularly included. If you're already in H-1B status with another employer, Apple can also file an H-1B transfer, which lets you start working before USCIS approves the petition.
How do I apply for Engineering Manager jobs at Apple?
Apply directly through Apple's careers portal, targeting teams aligned with your hardware or systems expertise. Engineering Manager roles at Apple are often specific to a product family, such as silicon, camera systems, or device integration, so applying to roles that match your technical domain increases your chances. Migrate Mate is a practical starting point to identify and filter roles at Apple that include visa sponsorship.
Which visa types does Apple commonly use for Engineering Manager roles?
Apple sponsors H-1B and H-1B1 visas for most Engineering Manager hires, with E-3 available for Australian citizens and TN for Canadian and Mexican nationals in qualifying roles. For longer-term permanent residence, Apple supports EB-2 and EB-3 Green Card pathways. F-1 OPT and CPT candidates can also be considered, typically as a bridge before a full sponsorship petition is filed.
What qualifications does Apple expect for Engineering Manager roles?
Apple's Engineering Manager positions generally require a bachelor's degree or higher in electrical engineering, computer engineering, or a closely related field, combined with demonstrated experience leading hardware or systems teams through full product development cycles. Managers overseeing specialized functions like silicon design or manufacturing engineering are expected to have deep hands-on domain knowledge, not just general people management background.
How long does the visa sponsorship process take when joining Apple as an Engineering Manager?
Timeline depends heavily on visa type. An H-1B transfer or E-3 consular appointment can move in four to eight weeks if documents are in order. A new H-1B subject to the annual lottery requires waiting until October 1 of the following fiscal year. Green Card sponsorship through PERM typically adds one to three years before you hold permanent resident status, excluding any priority date backlog.
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