Engineering Program Manager, GPU

1 Day ago • All levels • $136,300 PA - $248,700 PA

Job Summary

Job Description

As a Senior Engineering Program Manager, you will lead multi-functional teams to develop and deploy GPU-accelerated Machine Learning solutions across Apple's product ecosystem. This involves driving the product development lifecycle from concept to launch, ensuring high-quality, innovative products. You will collaborate with AI/ML researchers, software engineers, and GPU experts to define, scope, and implement machine learning initiatives. Maintaining clear communication on the program's status, including risks, schedules, and resources is crucial. Furthermore, you will foster a culture of innovation and lead teams in developing cutting-edge technology, setting the strategic direction for AI/ML projects at Apple. Excellent project management skills, including project structuring and managing multiple work streams independently, are essential for success.
Must have:
  • Leading multi-functional teams.
  • Driving the product development lifecycle.
  • Collaborating with AI/ML researchers and engineers.
  • Excellent project management skills.

Job Details

Apple’s GGD (GPU, Graphics and Displays) group provides the graphics software foundation across all of Apple's innovative products, from iPhone, iPad, and Apple Watch, to Apple TV, iTunes,Vision and Mac. Join our cross-functional team, where the innovative intersection of AI/ML and GPU technology drives breakthrough products and features. We are looking for a highly skilled Senior Engineering Program Manager (EPM) with experience in supporting machine learning (ML) accelerated by GPU technology and be able to participate in: - Leading multi-functional teams to develop and deploy GPU-accelerated ML solutions across Apple’s product ecosystem. - Driving the product development lifecycle (software and hardware) from concept through launch, ensuring the delivery of high-quality, innovative products. - Collaborating with AIML researchers, software engineers, and GPU experts to define, scope, and implement machine learning initiatives. - Maintaining clear communication and documentation on the program’s status, including risks, schedules, and resources. - Fostering a culture of innovation, leading teams to develop cutting-edge technology and setting the strategic direction for AI/ML projects at Apple. - Excellent project management skills including project structuring and managing multiple work streams interdependently.

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