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Firmware Engineer - Apple Neural Engine

Sunnyvale, CA, US • Posted 4 days ago • Updated 1 day ago

Full Time

On-site

Fitment

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Job Details

Skills

Real-time
Operating Systems
Scheduling
Artificial Intelligence
iPhone
iPad
FOCUS
Scalability
Firmware
Collaboration
Innovation
Firmware Development
C
C++
RTOS
Computer Architecture
Computer Hardware
Interfaces
Computer Science
Electrical Engineering
Neural Network
Machine Learning (ML)
Optimization
Power Management
Embedded Systems
System On A Chip
Communication

Summary

Apple Neural Engine (ANE) team is looking for an experienced embedded firmware engineer to develop and maintain low-level firmware for ANE, a specialized hardware accelerator for machine learning workloads. This role involves working on real-time operating systems, hardware abstraction layers, and complex scheduling systems for AI/ML inference acceleration. As part of the firmware team, you will be involved in a creative and collaborative environment, and have the chance to tackle complex challenges to deliver features across iconic Apple products like the Vision Pro, iPhone, iPad, Mac and more.

The responsibilities in this role include:\n- Design and implement firmware for neural network accelerator hardware (ANE) in Apple SoCs, with focus on scalability and efficiency\n- Collaborate with cross-functional teams, including platform architecture and driver, to bring new hardware silicon to market\n- Design and implement firmware to deliver next-gen features for Apple products, including requirements and specifications definitions with other teams\n- Cultivate a culture of learning and collaboration, encouraging innovation across the organization

Bachelor's in Computer Science, Electrical Engineering, or related field, and 3+ years of related industry experience (e.g. embedded firmware development experience)\nStrong C/C++ programming skills in resource-constrained environments\nExperience with RTOS and bare-metal programming\nUnderstanding of computer architecture and hardware interfaces

Master's or PhD in Computer Science, Electrical Engineering, or related field\nExperience with neural network accelerators or GPUs and knowledge of machine learning inference optimization\nBackground in power management for embedded systems\nExperience with SoC bringup\nAttention to detail and code quality\nSelf-motivated with excellent communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 2b96b1f53723004342c2cad586531097
Posted 4 days ago

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