Neural Engine Architect, Platform Architecture
Description For Neural Engine Architect, Platform Architecture
Apple's Platform Architecture team is seeking a Neural Engine Architect to help shape the future of intelligent mobile devices. This role represents a unique opportunity to work at the intersection of hardware and software, designing next-generation ML accelerators that power Apple's innovative products. As a Neural Engine Architect, you'll collaborate across multiple teams to develop power-efficient machine learning solutions that enhance user experiences.
The position requires deep expertise in hardware architecture, machine learning, and system optimization. You'll be responsible for analyzing ML workloads, prototyping solutions, and working closely with both software and hardware teams to implement cutting-edge architectures. The role combines technical leadership with hands-on development, requiring both strong engineering skills and excellent communication abilities.
This is an exceptional opportunity for experienced architects who want to make a significant impact on Apple's future products. You'll work with state-of-the-art technology in machine learning and hardware design, while being supported by comprehensive benefits including stock options, healthcare, and educational opportunities. The role offers competitive compensation and the chance to work with some of the industry's best talents in Silicon Valley.
Responsibilities For Neural Engine Architect, Platform Architecture
- Work with architects building the next-generation Neural Engine—ML HW Accelerator
- Collaborate with SW/applications teams on driving future requirements
- Prototype solutions in C++/Python
- Write architecture specifications
- Work with SW/HW design teams for implementation
- Enable power-efficient ML user experiences in Apple's products
Requirements For Neural Engine Architect, Platform Architecture
- Expertise in HW architecture, computer/CPU architecture, or GPU architecture
- Programming skills in C++/C and Python
- Experience analyzing ML workloads on different HW architecture
- BS degree required, MS or PhD preferred
- Expertise in machine learning algorithms, Transformer, CNNs
- Understanding of system implications of ML algorithms
- Knowledge in LLM pipeline, image processing, camera pipeline
- Knowledge in compilers
- Strong communication skills
Benefits For Neural Engine Architect, Platform Architecture
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Educational reimbursement
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan with discount
- Discretionary bonuses
- Relocation benefits
- Product discounts
- Free services
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