At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning System Software Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, i Phone, i Pad, Mac, and more. This is a dynamic opportunity to work in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing!
We are looking for an engineer with deep expertise in system software technology who is eager to tackle new challenges and responsibilities as the role evolves. As the position progresses, there will be opportunities to demonstrate technical leadership, influence key design decisions, collaborate with and support other engineers, and help guide the direction of Apple's AI-driven capabilities across the ecosystem.

Are you ready to help us deliver the next groundbreaking Apple products?

Description:

In this role, you will be empowered to:

• Architect and develop the system runtime software for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency

• Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure the system software support for next-gen features

• Lead the design and implementation of complex system runtime features, advancing both technical capabilities and strategic alignment across the team and company

• Mentor and guide emerging and mid-level engineers, sharing your expertise to foster their growth in system software technologies and ensuring high standards of code quality, innovation, and efficiency

• Play an instrumental role in defining system software architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints

• Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine team

• Cultivate a culture of learning and collaboration, encouraging innovation, and supporting engineers in their development, with the potential to expand your influence across the organization

Preferred Qualifications:

Experience optimizing software for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniques

Expertise in neural network inference on specialized So Cs or GPUs, and knowledge of deep learning frameworks and tools

Expertise in full stack software design and implementation

Proven track record in mentoring and coaching engineers, with an interest in taking on increasing responsibilities and contributing to the team's development

Strong communication skills and ability to collaborate effectively across teams and functions

Minimum Qualifications:

Proven expertise in software design and architecture, including deep experience with full-stack software design, implementation and optimization

Understand software and hardware interfaces

High-level proficiency in C or C++ and experience working with large, complex software systems and demonstrated ability to ship high-quality production software

Bachelor's degree in Computer Science, Computer Engineering, or a related field, with 3+ years of experience shipping production software

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 .

Pay & Benefits:

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 $147,400 and $272,100, 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.