Data Engineering Manager — Video Engineering

The people here at Apple dont just create products; they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found Video Engineering group is looking for an Engineering Manager to lead a team that supports data collection software firmware and hardware test environments powering next-generation Apple products. This role sits at the intersection of engineering operations and vendor management and is ideal for someone who can lead a technical team drive cross-functional execution and manage the people and processes behind our test infrastructure and data pipelines.

Our team bridges engineering test operations and external partners to keep our data collection systems and test environments running smoothly and scaling with the needs of the business. As an Engineering Manager on this team you will oversee the day-to-day operations of our data collection software firmware and hardware test infrastructure manage a team of engineers and technical staff and coordinate with vendors and suppliers to source onboard and maintain the equipment and services our team relies on. Youll work closely with engineering safety/compliance and business partners to plan and execute projects review technical plans and ensure our team has what it needs to deliver high-quality test data and results that support ML model and algorithm testing and role requires a minimum of 5 days per week working on-site in the office.

BS and a minimum of 10 years relevant industry experience.n5 years in an engineering/technical role and 5 years in people management or team lead with internal data collection software firmware and hardware test environments including working knowledge of test methodologies automation and hardware bring-up workflows sufficient to understand test setups review technical plans and ask informed of ML model/algorithm testing and validation including how test data quality and collection methodology impact model evaluation along with experience in data acquisition pipelines (sensor/instrumentation data collection data quality/validation and storage/pipeline infrastructure) and data management to interpret and communicate data-driven insights to guide operational decisions and report to engineering and business stakeholders and to translate technical requirements into plans timelines and deliverables for technical and non-technical in prompt engineering and AI-assisted development workflows with experience tackling complex debugging architectural trade-offs or automation tasks.

Experience managing engineering or technical teams within a hardware development test/validation or lab operations record of building or scaling operational processes (e.g. test infrastructure lab space staffing models) to support a growing managing cross-functional technical projects across engineering operations and external vendors including vendor/supplier relationship program management skills with the ability to track multiple parallel workstreams and prioritize competing written and verbal communication skills with the ability to bridge conversations between engineers leadership and business people-leadership skills: mentoring coaching and developing engineers or technicians at varying experience levels and fostering an inclusive high-performing team culture.