below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$129,500–$194,875
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
Software Engineer (Quality), Retail and Marcom Engineering joins the Marcom Quality Engineering team to develop a comprehensive Quality Platform. This role involves building shared services, APIs, and evaluation pipelines to improve CI/CD signal quality for engineering and production teams. You will prototype and deliver end-to-end solutions, including orchestration, retrieval, and evaluation harnesses. Key responsibilities include building platform services to normalize data from PRs and logs, operating shared runners with fair queues, and shipping agentic workflows to automate test generation and defect triage. The role requires proficiency in Python, TypeScript, Node, and RESTful/GraphQL APIs, alongside experience with LLMs, RAG, and distributed systems. You will solve technical problems related to reducing infrastructure flakiness and accelerating time-to-signal for high-visibility global marketing launches.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Build platform services to normalize data from PRs, specs, and logs into a central dashboard.
Operate shared runners with fair queues and hardened images to reduce infrastructure flakiness.
Implement automated guardrails using thresholds and Pass/Warn/Block verdicts with change history.
Ship agentic workflows to automate test generation, defect triage, and CI/CD gates.
Integrate LLMs and retrieval systems to power internal QE copilots and Slack embeds.
Prototype and deliver end-to-end features from design to launch through fast, disciplined iterations.
Create deterministic test data including seeded records, masked subsets, and synthetic data.
What we're looking for
Requires a Bachelor's degree in Computer Science, a technical field, or a minimum of 5 years of relevant work experience in the US.
Demonstrate programming fundamentals across multiple projects, including designing asynchronous, event-driven systems with concurrency and non-blocking I/O.
Experience with RESTful/GraphQL APIs and automated testing frameworks.
Experience improving liability of shared CI/test infrastructure or operating a CI runner fleet.
Shipped one LLM-powered feature.
8+ years as a Software Engineer and 5+ years in automation or platform tooling (preferred).
Retrieval + RAG expertise, strong Python for ML/LLM workflows, and advanced TypeScript and Node for platform services (preferred).
Experience with distributed systems, mocking, dependency injection, and building shared execution images or runners (preferred).
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