Backend Software Engineer Jobs at Apple with Visa Sponsorship
Backend Software Engineer jobs at Apple span distributed systems, APIs, and large-scale infrastructure across hardware and services teams. Apple has a consistent track record of sponsoring work visas across multiple categories, making it a viable target for international engineers building a long-term U.S. career.
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Get Access To All JobsINTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
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 $184,700 and $324,800, 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. 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.
INTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
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 $184,700 and $324,800, 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. 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.
See all Backend Software Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Backend Software Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Backend Software Engineer Jobs at Apple
Align your system design depth with Apple's scale
Apple's backend interviews heavily test distributed systems knowledge relevant to products like iCloud and Apple Pay. Prepare for design rounds that require reasoning about latency, fault tolerance, and horizontal scaling at consumer hardware scale, not just standard web architectures.
Identify roles tied to specific Apple hardware pipelines
Backend roles supporting Apple Silicon, device telemetry, or on-device ML infrastructure often have narrower specialty occupation definitions that strengthen an H-1B petition. Targeting these teams rather than general platform roles can make your petition easier to support with a clear degree-to-job nexus.
Confirm your visa type before accepting an offer
Apple sponsors multiple visa categories, including E-3 for Australians and TN for Canadians and Mexicans. Confirm early which category your recruiter is prepared to file, since the documentation requirements, timelines, and employer obligations differ significantly across H-1B, E-3, and TN pathways.
Track Apple's PERM filings to gauge green card velocity
Apple files PERM labor certifications for EB-2 and EB-3 green card sponsorship. Search DOL PERM disclosure data for Apple backend roles to understand which job titles and locations receive sponsorship, so you can negotiate green card intent during the offer stage rather than after you've started.
Time your OPT start date around Apple's hiring cycles
Apple's engineering hiring concentrates in Q1 and Q3. If you're on F-1 OPT with a 60-day grace period or a STEM OPT extension, align your application timeline so your authorized employment start date falls within an active hiring window, not a hiring freeze period.
Use Migrate Mate to filter Apple backend roles by visa type
Apple posts Backend Software Engineer openings across multiple teams, but not all list sponsorship explicitly. Use Migrate Mate to filter Apple listings by visa category so you're applying to roles where your specific visa pathway is already confirmed, not discovered late in the process.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Backend Software Engineers?
Yes, Apple sponsors H-1B visas for Backend Software Engineers. Apple participates in the annual H-1B cap lottery and also files cap-exempt petitions where eligible. For backend roles, Apple typically supports the specialty occupation classification by documenting that the position requires a bachelor's degree or higher in computer science, software engineering, or a directly related field. Your offer letter and job description will need to reflect that requirement clearly.
How do I apply for Backend Software Engineer jobs at Apple?
Apply through Apple's careers portal, or use Migrate Mate to browse Apple's Backend Software Engineer openings filtered by visa sponsorship type. Apple's backend hiring process typically includes a recruiter screen, technical phone interviews covering algorithms and system design, and a full loop with coding and architecture rounds. Tailoring your resume to the specific team, whether infrastructure, services, or hardware-adjacent backend, increases your chances of clearing the initial recruiter screen.
Which visa types does Apple commonly sponsor for Backend Software Engineer roles?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and F-1 OPT and CPT for Backend Software Engineers, and supports EB-2 and EB-3 Green Card pathways for longer-term sponsorship. E-3 visa is available to Australian citizens and does not require lottery participation. TN visa applies to Canadian and Mexican nationals. The right category depends on your nationality, degree, and the specific role's requirements.
What qualifications does Apple expect for Backend Software Engineer roles?
Apple's backend engineering roles consistently require proficiency in languages like Swift, Python, Go, or Java, along with demonstrable experience building and operating distributed systems at scale. For visa sponsorship purposes, a bachelor's degree in computer science, software engineering, or a closely related technical field is typically required to satisfy USCIS specialty occupation standards. Candidates with experience in areas like device telemetry, API infrastructure, or cloud-scale data pipelines tend to align well with Apple's backend hiring priorities.
How do I think about the visa filing timeline after receiving an Apple offer?
The timeline depends on your visa category. H-1B cap-subject petitions can only be filed once per year, with the lottery in March and employment starting October 1 at the earliest. E-3 and TN approvals can happen in weeks. If you're on F-1 OPT, your authorized period needs to cover the gap until your new status takes effect. Align your offer start date and visa filing type with USCIS processing windows before signing.