The people here at Apple don’t just create products - they create the kind of wonder that revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. The Silicon Development Team within the Graphics, Games, and Machine Learning (GGML) software group is seeking for an engineer who will work with hardware and software engineering groups to shape the architecture of Apple’s future products. You will be building and applying technology that allows models of advanced graphics, media and machine learning use cases to be captured, analyzed, modeled and simulated. If you’re passionate about technology and want to be part of a group that works on shaping very early-stage products, we may be the team for you!

DESCRIPTION

As a member of the Silicon Development Team, you will be responsible for: • Developing use case models, hardware models, and associated tools used to test the viability of future products. • Careful analysis and validation of important use cases with respect to power and performance goals. • Collaborating with cross-functional teams including product, hardware architecture, software driver, firmware, frameworks and application teams, to define a vision for future products and present simulation results. • Helping to define technical requirements of Apple’s future products. • Learning about the state of the art in mobile System-on-Chip (SoC) and chip- level architecture.

MINIMUM QUALIFICATIONS

• Masters in Computer Science, Computer Engineering or a related technical field.
• Possess strong interest in the modeling, simulation and analysis of computer
• systems.
• Extensive knowledge in computer architecture, software engineering,
• performance modeling, and SoC microarchitecture.
• Expert level grasp of at least 1 modern programming language: Python, Go, Java,
• etc.
• Strong analytical skills to work on ill-defined and challenging issues.
• Ability to work optimally in a highly collaborative environment.

PREFERRED QUALIFICATIONS

• Excellent communication skills required to interact cross functionally with
• members from software and hardware teams.
• Creativity and curiosity about how things work beyond the classroom. Examples
• of projects brought to completion. Ability to study a problem in depth and
• independently design experiments, analyze data, and present results.
• You are results-oriented, upbeat and focused with a strong passion to learn and
• succeed.
• A PhD, equivalent research degree or practical experience in Computer Science,
• Computer Engineering or related areas.
• Familiarity with AI networks for example CNN, transformer and diffusion model
• architectures and their performance characteristics.
• Demonstrated experience with modeling and system performance analysis.
• Demonstrated leadership on cross-functional projects across HW, SW or
• Silicon.
• High tolerance for ambiguity. You find a way through. You anticipate. You
• connect and synthesize.
• Demonstrated experience in cultivating stakeholder relationships and
• influencing decisions with data.

Please refer the Job description for details