Software Engineer, Quality, Retail and Marcom Engineering

Apple Inc.

Sunnyvale (CA)

On-site

USD 147,400 - 272,100

Full time

14 days+

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Benefits offered by this job

Comprehensive medical and dental coverage
Employee stock purchase plan
Discounted products and free services

Job summary

Apple Inc. in Sunnyvale, California, is seeking a Software Engineer in Quality to enhance internal tooling into a comprehensive Quality Platform. The role involves applying modern AI/ML principles, streamlining CI/CD practices, and ensuring quality control across diverse media.

Ideal candidates should possess a Bachelor's degree in Computer Science along with a minimum of 5 years relevant experience. The compensation ranges from $147,400 to $272,100, based on qualifications. Benefits include stock programs, medical coverage, and more.

Qualifications

  • Minimum 5 years of relevant work experience in the US.
  • Experience improving CI/test infrastructure or operating a CI runner fleet.
  • Shipped one LLM-powered feature.

Responsibilities

  • Build platform services for data normalization.
  • Operate shared runners to reduce infra flakiness.
  • Prototype quickly and deliver from design to launch.

Skills

Programming fundamentals
RESTful/GraphQL APIs
Automated testing frameworks
Python for ML/LLM workflows
TypeScript and Node

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

Job description

Software Engineer, Quality, Retail and Marcom Engineering

Sunnyvale, California, United States – Software and Services

Marcom is the creatively‑led global team that oversees Apple’s consumer‑facing marketing. We ensure the flawless development and execution of world‑class communications across all media and platforms.

The Marcom Quality Engineering team is hiring a full‑stack Software Engineer to help turn internal tooling into a Quality Platform—shared services, APIs, and evaluation pipelines that improve CI/CD signal quality for engineering, QE, and production teams. You’ll apply modern AI/ML to expand automated coverage, reduce infrastructure and test flakiness, and accelerate time‑to‑signal. This work supports high‑visibility launches for millions of customers across 100+ languages.

Description

As a Software Engineer, you’ll prototype quickly, tie engineering to business outcomes, and balance rigor with AI‑driven velocity. You’ll build and extend the quality platform—the orchestration, retrieval, evaluation harnesses, and APIs—that scales quality across the portfolio.

Responsibilities
  • Build platform services that normalize data from PRs, specs, logs, and test runs and surface signals in a central dashboard.
  • Evolve the execution layer by operating shared runners with fair queues and hardened images and by adding observability and repeatable test data to reduce infra flakiness and speed time to signal.
  • Codify guardrails by implementing thresholds and Pass or Warn or Block verdicts with lightweight change history.
  • Prototype quickly and deliver end‑to‑end from design to launch with fast, disciplined iterations.
  • Partner across Engineering to drive adoption and a simple developer experience.
  • Ship agentic workflows to automate test generation, defect triage, and CI/CD gates.
  • Integrate LLM and retrieval to power internal QE copilots and PRs or Slack embeds.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, a technical field, or a minimum of 5 years of relevant work experience in the US.
  • Programming fundamentals demonstrated across multiple projects or large/shared codebases, with the ability to ramp quickly as the stack evolves, including designing asynchronous, event‑driven systems—applying concurrency, non‑blocking I/O, and sound failure handling at scale.
  • Experience with RESTful/GraphQL APIs and automated testing frameworks.
  • Experience either improving liability of shared CI/test infrastructure or operating a CI runner fleet.
  • Shipped one LLM‑powered feature.
Preferred Qualifications
  • 8+ years as a Software Engineer and 5+ years in automation or platform tooling.
  • Strong Python for ML/LLM workflows; advanced TypeScript and Node for platform services.
  • Platform integration of AI agents, quality policies, and data‑driven dashboards.li>
  • Strong fundamentals in mocking, dependency injection, and distributed systems.
  • Experience building shared execution images/runners and multi‑tenancy controls on a company internal cloud (e.g., Kubernetes or an internal scheduler).
  • Experience with cross‑platform automation frameworks across web, native, and APIs; and reducing flakiness and improving time‑to‑signal via heuristics/stats.
  • Experience building and integrating REST services, including subgraph/endpoint development, schema/API composition, and deployment collaboration with platform teams.
  • Experience creating deterministic test data: seeding known records, masked subsets, synthetic data; managing golden dataset versioning and lineage.
  • Ability to explain complex systems simply to engineers and non‑engineers.
Benefits

Base pay range: $147,400 – $272,100, depending on skills, qualifications, experience, and location.

Eligible for Apple’s discretionary employee stock programs, including restricted stock unit awards and an employee stock purchase plan. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, and reimbursement for certain educational expenses.

Equal Opportunity and Accessibility

Apple is an equal‑opportunity employer 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.

Apple values accessibility as a fundamental human right. For more about accessibility in Apple’s workplace and reasonable accommodations for job applicants, please refer to relevant resources.

Application Process

Apple accepts applications to this posting on an ongoing basis.

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