Develop and maintain low-level firmware for Apple Neural Engine (ANE), a specialized hardware accelerator for machine learning workloads. This role involves real-time operating systems, hardware abstraction layers, and complex scheduling systems for AI/ML inference acceleration. Requires 10+ years of embedded firmware development experience with strong C/C++ skills in resource-constrained environments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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.
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
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- Bachelor's in Computer Science, Electrical Engineering, or related field, and 10+ 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
- 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
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At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
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