Senior Software Development Engineer in Test

Description

The Apple Services Engineering AI/ML quality organization is looking for a Software Developer In Test for our Tools & Automation team with expertise in building developer tools, test frameworks and libraries and strong experience in leading cross functional projects on a fast moving team. This role requires someone with a passion for quality engineering as well as solid software engineering skills, to deliver high quality services to Apple's customers.

You will be responsible for the following:

Guide tool analysis, create proof of concept models, and make recommendations to support the tools selection process.

Analyze, recommend, and implement best practices for coding guidelines and design principles, process workflow, quality gates, CI/CD process, etc.

Design, implement and maintain automation tests, testing & development frameworks and tooling to support various backend services and machine learning models and pipelines

Partner with cross functional teams to define and drive quality assurance best practices, techniques and methodologies needed to enhance productivity and quality

Identify process and architecture inefficiencies and help drive improvements while reducing risk, fostering a culture of built-in quality and continuous testing throughout the SDLC

Mentor junior team members

","responsibilities":"Quality Strategy for ML Platform: Own and define the testing strategy for end-to-end ML pipelines, data flows, and AI platform services.

Tooling & Infrastructure Influence: Guide the selection and integration of tools and platforms that support scalable test automation, data validation, continuous training (CT), and continuous integration/continuous delivery (CI/CD) in ML workflows.

Collaborate with ML Engineers & Data Scientists: Partner closely with AI/ML engineers, MLOps, and data science teams to ensure testability, model governance, and validation of ML outputs.

Champion Best Practices: Define and enforce standards for quality in ML systems - including unit, integration, regression, and fairness testing.

Measure & Improve Quality: Define and track quality metrics such as test coverage for ML pipelines, test flakiness, and pipeline reliability.

Mentor Engineering Teams: Influence ML Engineering and Platform teams to adopt a quality-driven approach in their design and implementation

Stay Ahead of AI Testing Trends: Explore new tools and research in AI quality assurance, ML testing frameworks, and integrate them where beneficial.

Preferred Qualifications

Knowledge of Big Data systems, Apache Spark is a plus

Experience with testing or working with AI/ML systems or platforms that include ML model training or data pipelines and algorithms is a plus

Adept at leveraging technology to solve problems, including building tooling, automating tasks, and developing supporting systems to streamline development workflows

Minimum Qualifications

Bachelor's degree with a minimum of 5 years, or Master's degree with a minimum of 3 years, of experience in software development and/or test automation, including at least 3 years leading complex, distributed systems.

BS or MS in Computer Science or related field or relevant industry experience.

Proficiency in Java, Python or similar programming languages

Experience with test frameworks and tools such as PyTest, JUnit, or equivalent.

Experience in designing and implementing testing frameworks for distributed systems, machine learning pipelines, and service-layer testing, including backend APIs, data processing, and infrastructure components

Experience with planning and execution of validating REST and gRPC APIs

Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems

Creative problem solving with attention to detail

Impeccable communication skills and ability to effectively collaborate with multiple stakeholders across organizations and project timelines

Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML technologies

Advocacy for a positive customer experience","internalDetails":null

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 $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.

Client-provided location(s): Cupertino, CA

Job ID: apple-200662968-0836_rxr-664

Employment Type: OTHER

Posted: 2026-05-15T19:12:49