Engineering Program Manager, Video Engineering

Apple Inc

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Work type: On-site
Location: Sunnyvale, CA
Posted: 89 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $213k

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · Engineering Program Manager, Video Engineering

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The Engineering Program Manager (ANE/ML/AI), Video Engineering joins the Video Engineering EPM team to support the development of Apple Neural Engine, Machine Learning, and AI technologies. This role involves supporting multi-functional teams to plan and track firmware and low-level software projects. Key responsibilities include tracking ML model inference and optimization efforts for performance, power, and memory, while building development schedules and identifying critical paths. The candidate will document technical risk areas, maintain cross-functional coordination, and synthesize data into summaries for team decision-making. Required skills include a technical background in Electrical Engineering or Computer Science, experience in program management or software development, and exposure to embedded firmware and AI/ML concepts. The work focuses on optimizing hardware and software integration for advanced video technology.

Skills

Machine Learning Firmware ML Model Inference Optimization Project Management Product Development

What you'll do

Plan and track firmware and low-level software projects across multi-functional teams.
Track ML model inference and optimization efforts regarding performance, power, and memory.
Build and maintain development schedules for technology development projects.
Identify critical paths within project timelines under the guidance of senior team members.
Identify and document technical risk areas to be escalated as necessary.
Coordinate communication across various engineering teams.
Synthesize complex data into clear written and verbal summaries to support decision-making.

What we're looking for

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.
Basic hands-on exposure to AI/ML concepts beyond using LLMs.
MS in Electrical Engineering, Computer Science, or equivalent technical field (preferred).
Ability to remain calm and flexible in the face of ambiguity (preferred).
Good communication and interpersonal skills with a collaborative, cross-functional mindset (preferred).
Self-motivated with a willingness to learn and take on new challenges (preferred).

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