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