About the job
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.
Responsibilities
Design and implement firmware for neural network accelerator hardware (ANE) in Apple SoCs, with focus on scalability and efficiency
Collaborate with cross-functional teams, including platform architecture and driver, to bring new hardware silicon to market
Design and implement firmware to deliver next-gen features for Apple products, including requirements and specifications definitions with other teams
Cultivate a culture of learning and collaboration, encouraging innovation across the organization
Qualifications
Minimum
Bachelor's in Computer Science, Electrical Engineering, or related field, and 3+ years of related industry experience (e.g. embedded firmware development experience)
Strong C/C++ programming skills in resource-constrained environments
Experience with RTOS and bare-metal programming
Understanding of computer architecture and hardware interfaces
Preferred
Master's or PhD in Computer Science, Electrical Engineering, or related field
Experience with neural network accelerators or GPUs and knowledge of machine learning inference optimization
Background in power management for embedded systems
Experience with SoC bringup
Attention to detail and code quality
Self-motivated with excellent communication skills