Firmware Engineer - Apple Neural Engine at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Embedded Firmware Development, Real-Time Operating Systems, Hardware Abstraction Layers, Scheduling Systems, C++, C, RTOS, Bare-Metal Programming, Computer Architecture, Hardware Interfaces, Neural Network Accelerators, Machine Learning Inference Optimization, Power Management, SoC Bringup

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION The responsibilities in this role include: - 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 MINIMUM QUALIFICATIONS 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 QUALIFICATIONS 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

Responsibilities

The engineer will design and implement low-level firmware for the Apple Neural Engine (ANE), a specialized hardware accelerator for machine learning workloads. Responsibilities include working on real-time operating systems and complex scheduling systems while collaborating with cross-functional teams to bring new silicon to market.