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. \\n\\nWe 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.
You will design and build intelligent tooling, automation, and AI-powered workflows that improve engineering productivity and software quality across Apple's media frameworks, applications, and services - from low-level playback and streaming infrastructure to user-facing apps and cloud services. You will prototype and productize systems that leverage agentic coding workflows, AI-driven code analysis, and automation pipelines to streamline development processes, accelerate issue resolution, and enhance code quality at scale. This requires solid systems thinking and the ability to turn emerging AI capabilities into dependable tools adopted by multiple teams. This role blends hands-on software development with technical leadership. You will partner closely with engineering, quality, and infrastructure teams to modernize workflows while upholding Apple's high standards for craftsmanship.
3+ years of professional software engineering experience shipping production systems.\nPractical experience applying agentic AI systems to software development or operational workflows.\nProficiency in C/C++ and at least one of: Python, JavaScript/TypeScript, Swift.\nStrong understanding of operating systems fundamentals, software engineering principles, development lifecycles, and debugging.\nExperience building automation systems, internal developer tools, or workflow platforms.\nBS, MS, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Physics, Mathematics, or a related technical field.
Experience building multi-agent AI systems or agentic workflows (e.g., using Anthropic Claude Code, OpenAI Codex, LangChain, LangGraph, CrewAI, or custom orchestration).\nFamiliarity with LLM-powered systems, prompt engineering, and AI agent frameworks.\nExperience architecting solutions that span multiple systems and team boundaries.\nTrack record of publishing research or contributing to open-source projects in ML/AI or software analysis.\nExperience with distributed systems, cloud infrastructure (AWS, Google Cloud Platform , Azure), and containerized deployments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 53e5a5ac60e623dfc02cdd9bb3f826d
- Posted 1 day ago
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