Senior Engineering Program Manager, GPU Acceleration

2 weeks ago


Cupertino, California, United States Apple Full time
Job Title: Senior Engineering Program Manager, GPU Acceleration

Job Summary:

We are seeking a highly skilled Senior Engineering Program Manager to lead the development of GPU-accelerated machine learning solutions across Apple's product ecosystem. The successful candidate will have experience in supporting machine learning accelerated by GPU technology and be able to participate in leading multi-functional teams to develop and deploy GPU-accelerated ML solutions.

Key Responsibilities:
  • Lead planning, execution, and communication between several engineering groups at Apple.
  • Help define and run processes that ensure GPU and Display deliverables for products are met.
  • Collaborate with AIML researchers, software engineers, and GPU experts to define, scope, and implement machine learning initiatives.
  • Maintain clear communication and documentation on the program's status, including risks, schedules, and resources.
  • Foster a culture of innovation, leading teams to develop cutting-edge technology and setting the strategic direction for AI/ML projects at Apple.
Requirements:
  • Proven experience in EPM roles, ideally within the AI/ML space or software development sectors, driving cross-functional product development.
  • Familiarity with GPU architectures and their application in machine learning workloads, particularly model training and inference.
  • Familiarity with GPU programming languages for accelerating ML algorithms (Metal, CUDA, PyTorch, etc).
  • Strong technical background, capable of working closely with engineering teams to manage software/hardware integration, performance, and scalability.
Preferred Qualifications:
  • BS/MS (EE/CS/CE), or a related technical field.
  • Exceptional leadership skills, with a track record of managing complex cross-team projects and delivering successful results.
  • Demonstrated ability to work effectively in a fast-paced environment with tight deadlines and evolving requirements.
  • Excellent written and verbal communication skills.
  • Experience working with a ML research team.
  • Experience with cloud-based AI solutions, parallel processing, and scalable architectures.
  • Passion for advancing AI/ML technologies and their application in consumer products.
What We Offer:
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses.
  • Discretionary bonuses or commission payments.


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