Haptics Engineering Program Manager

The Haptics team builds the ground-breaking Taptic Engine, a critical component of the iPhone, Watch, and Pencil Pro customer experience.

In this critical, highly visible role, you will manage projects involving the design, integration, and launch of haptic solutions. You will leverage your engineering background to manage program execution from concept phase to mass production. You will lead cross-functional teams and define program plans and schedules. You will bring teams together, align them on goals, and resolve conflicts to provide Apple customers with the best user-experience in the industry. Engineering excellence is expected and encouraged. Come join us in crafting solutions the world doesn’t know of yet!

You will serve as a cross-functional team leader. You will be expected to:
Define and communicate program plans, schedule, and status
Ensure engineering excellence and help drive logical, balanced, and aggressive decisions
Prepare and present executive communications
Manage preparation and execution of engineering development builds
Identify and resolve conflicts, interdependencies, and program issues
Work with the cross functional teams to mitigate program risks
React to unexpected changes in the program due to outside influences
Work cross-functionally to identify critical performance parameters
Deliver a report at the end of internship that summarizes contributions and identifies patterns, best practices, and ideas for change.

Minimum Qualifications

BS degree in a relevant technical field
MS degree in a relevant field (in progress OK)

Preferred Qualifications

Strong technical fundamentals (e.g. hardware development)
Excellent communication, organization, and leadership skills
Ability to filter and distill relevant information for the right audience
Self motivated, proactive, and curious
Ability to excel within rapid development cycles
Calm in the face of uncertainty
Ability to apply critical thinking to identify risks and creative solutions
Teamwork: The candidate must be able to fit in well with a team and understand capabilities and priorities while fostering a collaborative environment
Knowledge of electro-mechanical systems
Experience with high volume mass production
Knowledge of statistical analysis methods and design of experiments
Prior internship or similar professional experience in a relevant industry
Experience applying AI tools for improved efficiency or team collaboration