Engineering Program Manager (ANE/ML/AI), Video Engineering

Apple Sunnyvale, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

8 h ago

Junior (0-2 yrs) Full-time United States

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About the role

Support multi-functional teams in planning and tracking firmware and low-level software projects for AI and machine learning technologies. Assist in monitoring ML model inference performance while identifying and documenting technical risks.

What they look for

Program management Project management Apple Neural Engine Machine learning Artificial intelligence Firmware development Software development Technical risk management Data synthesis Cross-functional communication Embedded systems Performance optimization Memory optimization Critical path analysis

Requirements

Requires a Bachelor's degree in Electrical Engineering, Computer Science, or a related technical field. Candidates should have internship or academic project experience in program management and basic exposure to AI/ML concepts.

Full description

We are looking for an Engineering Program Manager to join the Video Engineering EPM team to work on cutting edge Apple Neural Engine (ANE), Machine Learning, and AI technology to deliver world-class Apple experiences. The ideal candidate will have internship or academic project experience in product development or program/project management, strong communication skills, and a desire to grow with an amazing team while learning to develop new technologies.

Description

Support multi-functional teams to help plan and track firmware and low-level software projects that support technology development. Assist with tracking ML model inference and optimization efforts for performance, power, and memory. Help build and maintain development schedules, and support identification of critical paths under guidance from senior team members. Help identify and document technical risk areas, escalating to senior EPMs or technologists as needed. Maintain coordination and communication with engineering teams. Help synthesize data into clear written and verbal summaries that support team decision-making.

Minimum Qualifications

BS in Electrical Engineering, Computer Science, or equivalent technical field Internship, co-op, or academic project experience in program/project management or software development Some exposure to embedded firmware/software development or related hardware/software product development (through coursework, internships, or personal projects) Basic hands-on exposure to AI/ML concepts beyond using LLMs (e.g., coursework, personal projects, or internship work)

Preferred Qualifications

MS in Electrical Engineering, Computer Science, or equivalent technical field Adapts well to change and remains calm and flexible in the face of ambiguity Good communication and interpersonal skills with a collaborative, cross-functional mindset Self-motivated with a willingness to learn and take on new challenges Demonstrated curiosity and critical thinking through academic or internship projects