administrative assistant, platform apps & technologies

senior engineering manager - core data libraries

embedded software engineer, annapurna ml software

administrative assistant - beats, home, accessory, and ecosystem

administrative assistant, platform apps & technologies Jobs in Cupertino

senior engineering manager - core data libraries Jobs in Cupertino

data governance platform engineer Jobs in Cupertino

data governance platform engineer

embedded software engineer, annapurna ml software Jobs in Cupertino

embedded systems video engineer Jobs in Cupertino

embedded systems video engineer

gpu systems software engineer platform architecture

Apple

Imagine what you can do here! At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there&rsquo;s no telling what we can accomplish together. 
 
Do you love crafting elegant solutions to highly complex challenges? Can you intrinsically see the importance in every detail? At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. Join this team, and you&rsquo;ll collaborate with engineers across Apple to build and deploy forward-looking prototype systems that contribute to the development of our world renowned hardware and software architecture. 
 
You and your team will confirm that every product we make performs exactly as intended. Together, our work will be the reason millions of customers feel they can trust their devices every single day! 
 
Description 
 
Apple&rsquo;s Platform Architecture group is looking for talented engineers to build high performance functional models of advanced GPU designs and to help bridge the gap between Software and Hardware, influencing performance improvements and the programming ease of Apple products. This role requires strong software engineering skills and a solid understanding of GPU architecture. You will work closely with cross-functional teams in hardware and software. 
 
Preferred Qualifications 
 
Experience with parallel and concurrent programming 
 
Experience developing debugging large, complex system software 
 
Understanding of a modern GPU pipeline 
 
Experience with GPU hardware 
 
MS or higher degree in CS or CE 
 
Assembly experience 
 
Knowledge of ARM and/or X86 architectures 
 
Experience programming modern graphics APIs (OpenGL/Direct3D/Metal/Vulkan/etc.) 
 
Minimum Qualifications 
 
BS degree 
 
Programming (C++/C) and scripting skills (Python) 
 
Background in low-level software 
 
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 . 
 
Pay &amp; 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 $126,800 and $190,900, 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.

GPU Systems Software Engineer, Platform Architecture

Are you passionate about building software that will be used by hundreds of millions of people worldwide? Do you enjoy devising simple yet elegant solutions to complex global problems? 
 
The Maps Search Platform and Services team is seeking a Principal Software Engineer to help deploy new Search Platforms and Services which empower Maps Core Search, Autocomplete, and other unique Search features within Apple Maps. 
 
Description 
 
As a Principal Software Engineer in the Apple Maps team, you&rsquo;ll be instrumental in contributing to both the search platform and the product itself. You&rsquo;ll have the opportunity to innovate on the search platforms, crafting elegant solutions within distributed systems. Collaborating closely with development and product teams, you&rsquo;ll build seamless solutions that work across the entire Apple ecosystem. Additionally, you&rsquo;ll participate in design and code reviews, working alongside engineers and QA to deliver a high-quality search experience to our customers.&quot;,&quot;responsibilities&quot;:&quot;Hands-on technical leadership on multiple fronts such as architecture, development, code reviews, and operations. 
 
Own and drive multiple critical work streams, which includes vision/direction setting, overseeing the overall planning and execution toward clear objectives with measurable key results. 
 
Conduct deep-dives on product design and architecture, in collaboration with various engineering teams and having a direct impact on product development. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Science or related fields 
 
Understanding of search indexing and ranking algorithms 
 
Experience in high throughput, low latency distributed systems. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering or equivalent practical experience 
 
plus at least 12 years of hands-on software engineering and systems architecture experience. 
 
Proven experience in building search related services. 
 
Expertise in one or more modern programming languages, such as Java, C++, Python. 
 
Experience on collecting high-level requirements and translating them into pragmatic solutions. 
 
Demonstrated success in working with cross-functional teams including parters, product management, business teams. 
 
Solid interpersonal and communications skills, with proven ability to translate complex technical concepts and roadmaps to diverse audiences. 
 
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 . 
 
Pay &amp; 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 $212,000 and $318,400, 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.

Principal Software Engineer - Maps Search

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer - Data

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science &amp; Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most - our customers' privacy and trust. 
 
Description 
 
As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.&quot;,&quot;responsibilities&quot;:&quot;As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development. 
 
You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements. 
 
Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation. 
 
You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple. 
 
Preferred Qualifications 
 
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) 
 
Track record designing client-agnostic APIs using REST and/or GraphQL 
 
Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc.) 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience 
 
7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems 
 
2+ years of experience in technical leadership roles focused on platform engineering or infrastructure 
 
Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) 
 
Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) 
 
Proven development skills building backend API services using Python (preferred) and/or JavaScript 
 
Practical experience with asynchronous programming, type safety, threading models, state machines and data structures 
 
Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake 
 
Experience with managed cloud platforms such as AWS, GCP, Azure 
 
Excellent communication skills to collaborate with non-technical audience 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer, Data Science & Analytics Platform Engineering

Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. 
 
As a machine learning engineer, you&rsquo;ll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day! 
 
Description 
 
This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you&rsquo;ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You&rsquo;ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you&rsquo;ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you&rsquo;ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions. 
 
Preferred Qualifications 
 
Experience in prototyping models for edge devices through quick iterations 
 
Familiarity with productization flow for ML models 
 
Prior experience working on deep learning techniques for video processing / computer vision. 
 
Strong fundamentals in Computer architecture 
 
Good written and oral interpersonal skills 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience 
 
Excellent fundamentals in machine learning 
 
Knowledge of Video or Image processing or Computer Vision 
 
Solid programming skills for common ML frameworks like PyTorch or TensorFlow 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Machine Learning Video Engineer

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. 
 
We are looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to designers, to architect the best overall system. 
 
If you are excited about delivering intelligent, responsive, and personalized experiences to millions of users, we invite you to apply for the job and join us! 
 
Description 
 
Apple Maps Client is looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. Partnering with the Apple Neural Engine team to profile model performance, identify bottlenecks, and push the limits of what's possible on-device. Crafting technical design documents for new ML features is a core part of this role- outlining model architecture choices, performance targets, and deployment strategies.Your work includes building integration code that connects ML models with platform frameworks and APIs. You will lead cross-functional team projects. 
 
Beyond individual contributions, you will shape how the team approaches on-device ML. You will establish evaluation frameworks, define quality benchmarks, and write architecture documents that guide the team's direction. You will review code, mentor engineers, and help build a team culture rooted in technical rigor and collaboration. 
 
&quot;,&quot;responsibilities&quot;:&quot;Architect and deliver on-device ML solutions that meet strict latency, memory, power, and accuracy requirements across Apple platforms. 
 
Partner with Services teams on model delivery and update mechanisms( OTA model updates, staged rollouts) and define hybrid inference strategies (on-device vs. server-side). 
 
Collaborate cross-functionally with services, platform, and design teams to influence roadmaps, framework capabilities, and user experiences. 
 
Mentor and grow junior and mid-level ML engineers, fostering a culture of technical excellence, curiosity, and inclusive collaboration. 
 
Champion privacy by design - ensuring ML systems uphold Apple's commitment to user privacy through on-device processing, differential privacy, and minimal data collection. 
 
Preferred Qualifications 
 
Master&rsquo;s, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field - or equivalent practical experience. 
 
Familiarity with Swift, and Objective-C. 
 
Experience building and operating end-to-end ML pipelines for on-device models - including training, evaluation, conversion, validation, A/B testing, and OTA model delivery. 
 
Familiarity with federated learning, differential privacy, and on-device training/fine-tuning paradigms. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s in Computer Science, Machine Learning, Electrical Engineering, or a related field - or equivalent practical experience. 
 
Strong software engineering fundamentals in an object-orient programming language, with emphasis on writing production-grade, testable, and maintainable code. 
 
Experience with Systems Programming (frameworks/libraries/daemons). 
 
7+ years of industry experience in machine learning engineering, with at least 2 years focused on on-device/edge ML deployment. 
 
Strong proficiency in ML frameworks and tool chain such as PyTorch, TensorFlow, Core ML, Foundation Models Framework and MLX. 
 
Proven track record of shipping ML models into production at scale on mobile or embedded platforms. 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

Realign

<div>Cupertino, California 94024 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: MacOS Engineer</div><div>
Location: Cupertino, CA</div><div>
FTE Only</div><div></div><div> 
JOB DESCRIPTION:</div><div></div><div> 
Must Have Technical/Functional Skills:</div><div></div><ul><li> 
Education: Bachelor&rsquo;s degree in Computer Science or a related field.</li><li>Experience: Min 5 years of specialized experience in Apple platform development.</li></ul><div></div><div> 
Technical Requirements:</div><div></div><ul><li> 
Languages: Proficiency in Swift and Objective-C</li><li>Frameworks: Mastery of AppKit (classic macOS UI), SwiftUI (modern UI), and Combine or Grand Central Dispatch (GCD) for concurrency.</li><li>Tools: Expert-level use of Xcode, Git, and the macOS Command Line Tools.</li><li>Architecture: Understanding of MVVM or MVC patterns and experience with RESTful APIs for backend integrati</li></ul>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

MacOS Engineer-6

Explore 118+ Gpu systems software engineer platform architecture in Cupertino this March. Find roles across top companies and apply now to boost your career.