Software Engineer - Intelligent Engineering Workflows

Apple
San Diego, United States of America2026-05-08

About the job

Come work at Apple and join one of the best, most influential media technology teams in the world. We build world-class products for over a billion users, powering industry-leading technologies such as HLS playback, while helping major global content partners launch their most ambitious and most visible products.

We are looking for a Software Engineer with deep software engineering expertise and hands-on experience applying AI agents to real-world development challenges. In this role, you will shape how our teams build, analyze, and maintain software across the media technology stack that powers audio and video streaming experiences on all Apple devices.

Responsibilities

AI Agent Development & Orchestration - Design, build, and coordinate multi-agent AI systems that automate engineering workflows, including code analysis, issue triage, and developer productivity.

AI-Powered Code Analysis & Tooling - Develop and apply AI-driven methods for code understanding, defect prediction, and automated code review, leveraging large language models and static analysis techniques.

Automation & Integration - Build automation pipelines that integrate with existing CI/CD, bug tracking, and developer productivity systems. Contribute to internal tooling and frameworks.

Benchmarking & Evaluation - Define benchmarks and metrics for evaluating system performance and analysis quality. Establish baselines and track improvements over time.

Visualization & Insights - Build visualizations of timelines, event sequences, and engineering data that help teams quickly understand and act on complex information.

Qualifications

Minimum

3+ years of professional software engineering experience shipping production systems.

Practical experience applying agentic AI systems to software development or operational workflows.

Proficiency in C/C++ and at least one of: Python, JavaScript/TypeScript, Swift.

Strong understanding of operating systems fundamentals, software engineering principles, development lifecycles, and debugging.

Experience building automation systems, internal developer tools, or workflow platforms.

BS, MS, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Physics, Mathematics, or a related technical field.

Preferred

Experience building multi-agent AI systems or agentic workflows (e.g., using Anthropic Claude Code, OpenAI Codex, LangChain, LangGraph, CrewAI, or custom orchestration).

Familiarity with LLM-powered systems, prompt engineering, and AI agent frameworks.

Experience architecting solutions that span multiple systems and team boundaries.

Track record of publishing research or contributing to open-source projects in ML/AI or software analysis.

Experience with distributed systems, cloud infrastructure (AWS, GCP , Azure), and containerized deployments.