Drimva

Apple

Sr. Manager, Automation & Tools - Camera & Photos

$268K–$402K

Cupertino, California · Manager · Full-time · Posted May 21, 2026

Experience
10+ years in software engineering, automation, or developer productivity tooling; 5+ years leading high-performing engineering teams.
Education
Bachelor’s degree in Computer Science or related field, or equivalent experience. Advanced degree is a plus.

About the job

Leads the Camera & Photos automation and tools organization, building systems and AI-enabled workflows that improve engineering productivity, software quality, and delivery at scale.

What you'll do

  • Set automation and tooling strategy; build tools that reduce manual work and improve test coverage and reliability.
  • Drive agentic AI adoption for test creation, debugging, validation, and workflow orchestration; scale CI/CD for imaging pipelines.
  • Partner across engineering, QA, and infrastructure; establish improvement metrics and hire, mentor, and grow the team.

What they ask for

  • 10+ years of experience in software engineering, automation, or developer productivity tooling.
  • 5+ years of experience leading high-performing engineering teams.
  • Strong background in test automation, CI/CD systems, or large-scale developer infrastructure; track record improving engineering velocity and product quality at scale.
  • Deep understanding of software development lifecycles in complex, cross-functional environments; excellent communication and ability to influence senior technical and product leaders.

Nice to have

  • Experience with imaging systems, camera pipelines, media processing, AI/ML in engineering workflows, simulation, synthetic data, hardware-in-the-loop testing, or developer platforms.
  • Hands-on experience with modern AI systems, including LLM-based agents and workflow orchestration.

Pay

$267,800 and $401,700 (USD, base salary)

Tools

CI/CD, LLMs, agents

AI focus

Drive adoption of agentic AI systems for test creation, debugging, validation, and workflow orchestration; integrate AI into engineering workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)