ai software and security engineer

design verification engineer Jobs in Cupertino

design verification engineer

machine learning engineer Jobs in Cupertino

machine learning engineer

ml engineer

physical design engineer Jobs in Cupertino

physical design engineer

software development engineer

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:
 
 
 <ul>
 <li>
 Embedded Systems
 </li>
 <li>
 Game Development
 </li>
 <li>
 Compiler Engineering
 </li>
 <li>
 Artificial Intelligence/Machine Learning
 </li>
 <li>
 Healthcare AI
 </li>
 <li>
 Infrastructure Services
 </li>
 <li>
 Firmware Development
 </li>
 <li>
 Cloud Computing
 </li>
 <li>
 Distributed Systems
 </li>
 <li>
 Security Engineering
 </li>
 <li>
 Video Processing and Streaming
 </li>
 <li>
 Content Delivery Network (CDN)
 
 
 </li>
 </ul>
 When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.
 
 
 Key job responsibilities
 
 
 
 As An AWS Software Development Engineer, You Will
 
 
 
 <ul>
 <li>
 Design, develop, and maintain efficient, reusable, and reliable code
 </li>
 <li>
 Implement complex software solutions that meet business requirements
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features
 </li>
 <li>
 Identify and resolve performance bottlenecks and bugs
 </li>
 <li>
 Participate in architecture and design reviews to provide technical guidance
 </li>
 <li>
 Contribute to continuous improvement by identifying opportunities for process enhancement
 </li>
 <li>
 Stay current with emerging technologies and industry trends
 </li>
 <li>
 Mentor junior engineers and contribute to building a strong engineering culture
 
 
 </li>
 </ul>
 A day in the life
 
 
 On a typical day as an AWS SDE, you might:
 
 
 <ul>
 <li>
 Start your morning with a team stand-up to align on priorities and address any blockers
 </li>
 <li>
 Collaborate with product managers to refine requirements for upcoming features
 </li>
 <li>
 Write code and develop solutions for complex technical challenges
 </li>
 <li>
 Review pull requests from team members, providing constructive feedback
 </li>
 <li>
 Participate in design discussions for new services or features
 </li>
 <li>
 Debug and troubleshoot production issues as they arise
 </li>
 <li>
 Attend learning sessions to stay current with AWS technologies
 </li>
 <li>
 Document your work and contribute to technical specifications
 </li>
 <li>
 Engage with customers or internal stakeholders to better understand their needs
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:
 
 
 <ul>
 <li>
 An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests
 </li>
 <li>
 They will share specific details about what you need to succeed in the interview process
 </li>
 <li>
 As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams
 </li>
 <li>
 Throughout the process, the central team will provide guidance and preparation support
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 3+ years of building complex software systems experience
 </li>
 <li>
 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
 </li>
 <li>
 Bachelor's degree or equivalent
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
 </li>
 <li>
 Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
 </li>
 <li>
 Knowledge of Python and/or C++ programming
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
 
 
 USA, NY, BROOKLYN - 158,100.00 - 213,800.00 USD annually
 
 
 USA, NY, Carle Place - 158,100.00 - 213,800.00 USD annually
 
 
 USA, NY, New York - 158,100.00 - 213,800.00 USD annually
 
 
 USA, VA, ARLINGTON - 143,700.00 - 194,400.00 USD annually
 
 
 USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
 
 
 USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
 
 
 USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3146673
</div>

Software Development Engineer

Apple

In this position, the candidate will be working for the Hardware Validation Engineering (HVE) team on post-Silicon hardware system validation of next generation Mac systems. Our Engineering Team is responsible for architecting methods to test new system hardware with the macOS environment to catch issues early in the hardware life cycle. You will be a key technical and logistical contributor and will utilize your in-depth data analytic skills to help provide insight into Hardware behaviors related to Silicon and System performance, power, temperature and fault / error issues. 
 
Description 
 
As a Data Scientist / Analyst within the Hardware team your job responsibilities will include: 
 
Analyze large-scale hardware telemetry including power rails, thermal sensors, Power Silicon and SoC counters and performance logs, and stress-test measurements etc. 
 
Apply statistical modeling and ML techniques to identify anomalies, drift, hardware degradation patterns, and emerging failure signatures. 
 
Develop feature extraction pipelines tailored to silicon behavior-examples: rate-of-change of thermal zones, correlation of voltage droops with workload transitions, PMU-based bottleneck signatures. 
 
Build predictive models that estimate performance/power deviations, reliability risks, or stress-induced failures. 
 
Create clear, high-signal visualizations (e.g., multi-axis time-series overlays, workload-power envelopes, thermal gradients, event timelines) to support hardware debug and performance analysis. 
 
Automate root-cause discovery workflows using statistical correlations, temporal pattern detection, clustering of abnormal runs, and hardware-aware signal decomposition. 
 
Work closely with silicon design, system validation, and performance engineering teams to turn data insights into actionable design or validation recommendations. 
 
Continuously refine modeling and feature engineering methods as new hardware blocks, sensors, counters, and test modes become available. 
 
Data Extraction, Parsing and Storage own the pipeline for extraction and and storage into Databases and the structure. 
 
Preferred Qualifications 
 
Experience with dashboard platforms (Grafana, InfluxDB, Plotly Dash, Tableau). 
 
Familiarity with test automation data, debug logs, or hardware lab measurement tools. 
 
Experience in product validation, reliability, performance characterization, or silicon bring-up. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Engineering, or Computer Science. 
 
Data Science / Statistical Expertise: Ability to handle asynchronous, high-frequency hardware telemetry and create anomaly detection based algorithms. 
 
Programming &amp; Tools: Python skills (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Plotly). 
 
Ability to write clean, reproducible analytical scripts for large datasets. SQL and experience working with validation data warehouses. 
 
Visualization Skills: Must be comfortable creating custom plots and interactive exploratory visualizations using Python and other analytical tools. 
 
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 $220,900, 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.

Software Development Engineer - Data

<div>At Apple, we strive to make great products that empower people and improve their lives. We believe Generative AI has the potential to unlock new experiences that were never possible before, and are looking for talented software engineers to realize that mission by expanding the capabilities of Apple products and platforms. We are looking for a proficient, observational, and analytical engineer to screen incoming issues and implement tooling to support our engineering team and help scale a rapidly growing team. In this role, you&rsquo;ll be a key contributor during all stages of software development. This is an opportunity to work in an extremely talented team. Learning and building of skill-sets is highly encouraged. This role has the opportunity to grow in many directions. 
 
Description 
 
As a screening &amp; integration engineer on the Generative AI Experiences Software team, you will review and triage incoming bugs, analyze logs and help determine priority of issues. You will be expected to identify potential trends in incoming bugs and escalate to cross-functional team members. You will also be responsible for integrating our software with the broader operating system, and will gain encyclopedic knowledge of our area of focus and bugs in our components. We are looking for someone with excellent communication skills, because of the high level of interaction with the engineering teams, management, other organizations within Apple. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. 
 
As a team member your primary responsibilities are: 
 
<ul><li>Support developers for triage and analysis of issues</li></ul> 
<ul><li>Work with others to complete analysis, evaluations and design alternatives and to implement process improvements</li></ul> 
<ul><li>Develop, maintain and collaborate on tools that support and automate processes for screening issues in our software</li></ul> 
<ul><li>Compile and assemble software from source code for triaging and debugging, independent from development engineers' workflow</li></ul> 
<ul><li>Maintain branching for software repositories</li></ul> 
<ul><li>Maintain documentation of features for team</li></ul> 
<ul><li>Monitor communications in screening chat rooms</li></ul> 
<ul><li>Run reviews for development teams to keep issues moving through our system</li></ul> 
<ul><li>Escalate appropriately issues found in screening to development engineers</li></ul> 

Preferred Qualifications 
 
Experience with Xcode and Apple internal development practices 
 
BS CS/CE/EE or equivalent experience 
 
Minimum Qualifications 
 
Passionate and inquisitive, and seek to solve everyday problems in innovative ways (e.g. process efficiency, automation) 
 
Passion for debugging and problem solving 
 
Strong software engineering and development life cycle knowledge 
 
Advanced experience with version control systems, specifically git 
 
Experience in programming or scripting, preferably in Python 
 
Comfortable with rapid development cycles 
 
Ability to handle multiple tasks and prioritize work accordingly 
 
Excellent communication skills 
 
Track record of being proactive, self-motivated, detail-oriented, and well organized 
 
Basic understanding of macOS and iOS 
 
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.</div>

Software Screening & Integration Engineer, Generative AI Experiences Software (Special Projects)

Northbound DGS

Job Overview We are seeking a dynamic and detail-oriented SDET/Android Engineer to join our innovative software testing team. In this role, you will be responsible for designing, developing, and executing comprehensive test strategies for mobile applications on Android and iOS platforms. Your expertise will ensure the delivery of high-quality, reliable mobile solutions by automating test cases, performing system and performance testing, and collaborating closely with development teams. This position offers an exciting opportunity to influence product quality in a fast-paced environment while utilizing cutting-edge testing tools and methodologies.Duties<ul><li>Develop and maintain automated test scripts using tools such as Selenium, TestNG, JUnit, Cucumber, and Appium for Android and iOS applications.</li><li>Design and execute functional, regression, performance, load, and user acceptance tests to validate mobile app features across multiple devices and operating systems.</li><li>Collaborate with developers to understand application architecture, APIs (RESTful services), and backend systems like MySQL, Oracle, SQL Server, MongoDB, and PL/SQL to ensure comprehensive test coverage.</li><li>Perform root cause analysis on defects identified during testing phases; troubleshoot issues related to mobile applications, network connectivity, or system integration.</li><li>Integrate automated tests into CI/CD pipelines using Jenkins, GitLab, GitHub, Azure DevOps (TFS), or similar tools to facilitate continuous testing and deployment workflows.</li><li>Conduct system testing in various environments including Windows, Linux, and cloud platforms such as AWS or Azure; participate in requirements gathering and review sessions to refine test cases.</li><li>Generate detailed test reports and documentation; communicate findings clearly to stakeholders; support release management activities ensuring quality standards are met.</li></ul>Requirements<ul><li>Proven experience in mobile testing with a focus on Android applications; familiarity with iOS testing is a plus.</li><li>Strong proficiency in test automation frameworks such as Selenium WebDriver, Appium, TestNG, JUnit, Cucumber (BDD), and scripting languages like Python or JavaScript.</li><li>Solid understanding of SDLC (Software Development Life Cycle), Agile methodologies (Scrum/Kanban), Waterfall processes, and requirements gathering practices.</li><li>Hands-on experience with RESTful APIs using tools like Postman or SoapUI; ability to perform API testing with scripting skills for automation.</li><li>Knowledge of version control systems including GitHub, GitLab, SVN; experience with build tools like Maven or Ant.</li><li>Familiarity with performance testing tools such as LoadRunner or JMeter; understanding of system performance metrics and troubleshooting techniques.</li><li>Working knowledge of databases including MySQL, Microsoft SQL Server, Oracle DB2; ability to write complex SQL queries for data validation.</li><li>Experience with DevOps practices including CI/CD pipelines; familiarity with Jenkins or Azure DevOps for automated build/test deployment processes.</li><li>Strong analytical skills for data analysis and root cause investigation; excellent problem-solving abilities related to software troubleshooting.</li><li>Effective communication skills to collaborate across cross-functional teams; ability to document test cases thoroughly and support user acceptance testing (UAT). Join us if you're passionate about elevating mobile app quality through innovative testing strategies! We value proactive problem solvers who thrive in collaborative environments dedicated to delivering exceptional user experiences through rigorous quality assurance practices.</li></ul>Pay: $55.00 - $60.00 per hourBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Vision insurance</li></ul>Experience:<ul><li>Test automation: 3 years (Required)</li></ul>Work Location: In person

SDET/Android

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production. 
 
What you'll do: 
 
<ul><li>Build and own models of SoC subsystems &mdash; translating architecture specs and RTL behavior into accurate, testable C++ models</li><li>Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows</li><li>Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing</li><li>Contribute to performance modeling efforts &mdash; building cycle-approximate models that help architects evaluate design trade-offs before RTL exists</li><li>Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams</li><li>Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability</li></ul> 
Why this role is interesting: 
 
<ul><li>Your models are used to verify silicon before it's built &mdash; bugs you catch save months of schedule and millions of dollars</li><li>You'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected</li><li>As the team scales, there's a clear path into architectural modeling &mdash; using your models to influence chip design decisions, not just validate them</li><li>Small team, high ownership, direct impact on AWS's most strategic silicon programs</li></ul> 
You will thrive in this role if you: 
 
<ul><li>Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks</li><li>Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models</li><li>Understand verification concepts and have worked with DV teams or in pre-silicon validation environments</li><li>Care about model fidelity and have experience correlating models against RTL or silicon</li><li>Are interested in expanding into architectural performance modeling as the team grows</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack</li></ul> 
No ML background needed. You'll learn the ML accelerator domain on the job. 
 
This role can be based in Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming languages such as C/C++, Python, Java or Perl</li><li>2+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)</li><li>Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience working with DV teams or integrating models into verification flows</li><li>Experience with SystemC or TLM-based modeling</li><li>Experience correlating functional models against RTL simulation or emulation</li><li>Experience developing or calibrating performance models</li><li>Familiarity with Modern C++ (20 and beyond)</li><li>Experience with PyTest, GoogleTest, or similar test frameworks</li><li>Experience with multi-threaded simulation</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there&rsquo;s no telling what we could accomplish! 
 
The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple&rsquo;s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. 
 
Description 
 
The App Store team powers the data backbone behind discovery, search, trust and safety, developer insights, and experimentation across billions of daily user interactions. We ingest, model, and activate high-volume event data in near real time with uncompromising standards for privacy, reliability, and latency. As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications that make App Store signals useful, safe, and actionable for teams across the Apple. &quot;,&quot;responsibilities&quot;:&quot;Architect and operate petabyte-scale App Store pipelines with strict SLAs. 
 
Define event taxonomies, schemas, and governance to ensure durable contracts, lineage, and high-quality metadata. 
 
Ship privacy-by-design processing: PII minimization, consent enforcement, differential privacy, and edge-friendly patterns. 
 
Build production GenAI services with App Store context: embeddings, vector search, RAG, prompt orchestration, guardrails, and automated evals. 
 
Lead incident response and root-cause analysis; automate backfills, reprocessing, and lineage-aware rollbacks. 
 
Mentor engineers, influence architectural roadmaps, and improve on code quality, testing, performance, reliability, and documentation. 
 
Preferred Qualifications 
 
Familiarity shipping GenAI apps to production: embeddings, vector DBs, RAG, prompt orchestration. 
 
Excellent communication and collaboration skills; ability to influence multi-functional partners and drive complex projects to completion. 
 
Minimum Qualifications 
 
8+ years of hands-on software engineering experience building large-scale data systems. 
 
Strong programming skills in one or more of Scala and Java. 
 
Hands-on expertise with distributed data systems such as Spark, Kafka, Hadoop, Flink. 
 
Solid foundation in data storage and SQL : (S3/HDFS/Parquet), and lakehouse tables (Iceberg/Delta/Hudi). 
 
Solid systems fundamentals: algorithms, data structures, concurrency, consistency, caching, and observability. 
 
Built and operated services with Docker/Kubernetes, automated CI/CD and low-latency inference systems. 
 
BS/MS/PhD in Computer Science or related field, or equivalent 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, App Store Data

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. 
 
Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. 
 
Description 
 
Data is our first class citizen and the foundation of any AI features. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. 
 
The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple&rsquo;s privacy policy, which forms Apple&rsquo;s core values. You will have important responsibility and influence in designing and building the data platform to empower businesses, operations, data analytics and AI feature. &quot;,&quot;responsibilities&quot;:&quot;Join a fast growing team of data engineers to develop and iterate quickly on all stages of data processing. 
 
Lead, design, develop, and drive the unique solutions necessary to scale to Apple Service&rsquo;s diverse data requirements. 
 
Innovate and inspire a scalable data vision for current and extension to support AI needs. Influence internal teams, partners, and stakeholders to execute on that vision. 
 
Drive for quality, scalability and a strong collaborative environment. 
 
Preferred Qualifications 
 
Strong analytical skills with solid understanding of data structures and algorithms. 
 
Excellent communicator, able to explain complex concepts clearly. 
 
Strong interest in processing data to power embedded and AI features. 
 
Minimum Qualifications 
 
BS/MS in Computer Science or related field with 8+ years of experience. 
 
Strong programming skills in Java, Scala, SQL, with hands-on experience in distributed compute/storage systems like Spark, Iceberg, Cassandra, Hadoop/HDFS, AWS/S3. 
 
Multi-year experience in big data processing of batch and streaming using Flink and Spark. 
 
Proven ability to lead engineering projects from design to production across teams. 
 
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.

Sr. Software Engineer, Big Data - Apple Services Engineering

Explore 86+ Software development engineer in Cupertino this April. Find roles across top companies and apply now to boost your career.