Data Engineering Manager, Video Engineering

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$206,200–$356,400 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $281k
$111k most similar roles pay here $383k

This role pays more than 94% of similar roles. Most pay $137,100–$216,000 — the shaded band above. At the midpoint, this role pays about $281k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2240 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1831 roles with salary data.

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At a glance

TL;DR · Data Engineering Manager, Video Engineering

The Data Engineering Manager — Video Engineering joins the Video Engineering group to lead a team supporting data collection software, firmware, and hardware test environments for next-generation products. This role sits at the intersection of engineering, operations, and vendor management, where you will oversee day-to-day infrastructure operations, manage technical staff, and coordinate with external suppliers to maintain essential equipment. You will be responsible for building and scaling data acquisition pipelines, including sensor and instrumentation data collection, storage, and validation systems. The role requires expertise in hardware bring-up workflows, test methodologies, and automation. Key skills include prompt engineering, AI-assisted development, and translating technical requirements into actionable plans. This position solves critical problems in ML model and algorithm testing by ensuring high-quality test data and robust infrastructure to support the evaluation of complex machine learning models.

What you'll do

  • Manage the day-to-day operations of data collection software, firmware, and hardware test infrastructure.
  • Lead and mentor a team of engineers and technical staff to ensure high-performing results.
  • Coordinate with vendors and suppliers to source, onboard, and maintain necessary equipment and services.
  • Oversee data acquisition pipelines including sensor instrumentation, data quality validation, and storage infrastructure.
  • Translate complex technical requirements into actionable plans, timelines, and deliverables for diverse stakeholders.
  • Review technical plans and ensure high-quality test data for ML model and algorithm validation.
  • Build and scale operational processes to support growing team needs and test environments.
  • Communicate data-driven insights to guide operational decisions and report to business partners.

What we're looking for

  • Bachelor of Science degree and at least 10 years of relevant industry experience.
  • At least 5 years in an engineering or technical role and 5 years in a people management or team lead capacity.
  • Experience with data collection software, firmware, hardware test environments, automation, and hardware bring-up workflows.
  • Knowledge of ML model/algorithm testing, data acquisition pipelines, and data management practices.
  • Ability to communicate data-driven insights and translate technical requirements for both technical and non-technical audiences.
  • Proficiency in prompt engineering and AI-assisted development workflows for debugging, architectural trade-offs, or automation.
  • Experience managing teams in hardware development, test/validation, or lab operations (preferred).
  • Track record of scaling operational processes and managing cross-functional projects with external vendors (preferred).

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