Job Details

Software Development Engineer in Test, AiDP

Austin Metro Area, Texas, United States

Machine Learning and AI

Summary

Posted: Sep 10, 2025

Role Number: 200616478-0240

Join Apple's Applied Machine Learning Engineer Services team, where innovative ideas rapidly become exceptional products that impact millions of users worldwide. We're looking for a passionate Software Development Engineer in Test to help ensure our machine learning platforms and GenAI solutions meet Apple's high standards for quality, accessibility, and user experience.

Description

Our Applied Machine Learning Engineer Services team supports the development of large-scale data science and enterprise generative AI applications that serve multiple Apple lines of business. We contribute to open-source projects, collaborate across the entire company, and work with Apple-scale data to create meaningful customer experiences. In this role, you will provide build, release, and quality assurance services to a diverse team of engineers, data scientists, DevOps professionals, and managers who are committed to delivering reliable, inclusive technology solutions on the frontier of the latest technologies. This role involves creating and maintaining tools, frameworks and services to address emerging needs of the team in the areas of Continuous Integration and Delivery, as well as manual product validation.

Responsibilities

• Design and implement comprehensive test automation frameworks for large-scale, distributed applications, ensuring quality across UI, API, and backend systems

• Develop and execute testing strategies that consider diverse user needs, including accessibility requirements and various use cases

• Create and maintain tools that enhance application development, deployment, and monitoring processes

• Define, setup and maintain reliable continuous integration and deployment pipelines and develop key quality gate implementations for them

• Champion quality practices by integrating testing frameworks with CI/CD pipelines and promoting clean coding standards

• Monitor and analyze test results, identifying patterns and opportunities for improvement

• Contribute to infrastructure management and configuration solutions that support our testing ecosystem

Minimum Qualifications

• Strong foundation in software systems and acceptance testing

• 2+ years of professional experience in software quality engineering, test automation, or software development with Java or Python

• Hands-on experience developing automated test frameworks (UI, API, integration, or regression)

• Hands-on experience with CI/CD tools and systems

• Proficient configuring application services and shell scripting in Linux environments

• Experience with version control systems (e.g., Git)

• Bachelors in Computer Science or similar or equivalent work experience

Preferred Qualifications

• 3+ years of professional experience in software quality engineering, test automation, or software development with Java and Python

• Excellent interpersonal skills, a passion for innovation and quality with strong sense of project ownership

• Practical experience testing distributed systems (Cassandra, Spark, Flink, Kafka, Solr) and ETL pipelines

• Strong foundation in software testing principles and clean coding practices with proven experience of defining strategies for integration, system, API contract, security, performance and acceptance testing

• Understanding of general Machine Learning as well as GenAI concepts and lifecycle processes

• Familiarity with containerization technologies (Docker, Kubernetes)

• Background in performance testing using tools like Gatling or JMeter

• Experience using Cloud infrastructure (e.g., AWS, Google Cloud, public cloud)

• Ability to understand and use modern GenAI development enhancement tools like Claude Code or Cursor

• Knowledge of accessibility testing practices and inclusive design principles

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.