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Senior Audio Intelligence Triage and Integration Engineer, Watch Software

Apple· Software and Services
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Cupertino, CA$175.5k - $263.8kFull-timePosted 3d ago

About the role

Role focused on triaging complex issues in Apple Watch audio intelligence features, integrating changes across teams, and building AI tools and automation to scale triage and debugging across the full software stack.

Responsibilities

  • Investigate complex issues across the software stack, from the user interface to on-device ML and system software, and identify root causes and regression points
  • Analyze logs, crash reports, and diagnostics, identify trends and recurring issues, and work with owning teams to drive them to resolution
  • Integrate software changes, and provide patches to engineering and QA teams for evaluation
  • Design, build, and deploy AI-assisted triage tools and agentic workflows, using LLMs, skills, and MCP
  • Build and maintain shared knowledge that gives engineers and AI tools the context they need to triage accurately
  • Measure the accuracy and impact of AI tools, and improve them based on the results
  • Triage complex issues in audio intelligence features (sound and speech recognition, on-device and cloud-based language models, and secure system software) and coordinate testing with QA teams
  • Reproduce issues, analyze logs and diagnostics, find root causes and regression points, and route issues with clear priority and actionable next steps

Qualifications

  • Bachelor’s degree in Computer Science or a related field, or equivalent professional experience
  • 5+ years of experience in software development, quality, or reliability engineering
  • Strong debugging skills with macOS, iOS, or other UNIX-based systems, and an understanding of OS fundamentals such as processes, memory, and concurrency
  • Proficiency in Python and shell scripting, and the ability to understand and debug Swift, Objective-C, or C
  • Hands-on experience building tools or workflows with LLMs, including agents, skills, or Model Context Protocol (MCP)
  • Understanding of how ML models are evaluated and deployed, and how they fail
  • Experience with bug tracking, source control (preferably git), and continuous integration systems
  • Excellent communication skills and the ability to work across teams to drive issues to resolution
  • Experience with speech recognition, audio processing, natural language processing, or LLM-based features
  • Experience with on-device ML, including Core ML
  • Experience with Xcode, Instruments, and performance or power profiling
  • Experience with retrieval-augmented generation (RAG) or knowledge systems that give LLM tools context
  • Experience building tools adopted by engineering teams beyond your own
  • Experience with data analytics and understanding large data sets

Skills

Required:PythonShell scriptingSwift/Objective-C/C debuggingLLMs / MCP / agents
Nice to have:On-device ML

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational reimbursement for advancing your career (tuition)
  • Potential discretionary bonuses or commission payments
  • Relocation assistance (as applicable)
  • Apple employee stock programs (discretionary RSUs and Employee Stock Purchase Plan)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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