As a Machine Learning System Software Engineer on the Apple Neural Engine team, you will focus on developing high-performance, low-power AI solutions for iconic Apple products. This role involves collaborating with cross-functional teams to optimize system runtime software for deep learning inference. You will also mentor emerging engineers and contribute to the strategic direction of Apple's AI capabilities. This position offers the opportunity to work in a dynamic environment while shaping the future of computing.

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 3+ years of experience shipping production software.
• High-level proficiency in C or C++.
• Experience optimizing software for distributed, parallel, or heterogeneous execution environments.
• Expertise in neural network inference on specialized SoCs or GPUs.
• Strong communication skills and ability to collaborate effectively across teams.

• Architect and develop the system runtime software for Apple's Neural Engine Accelerator.
• Collaborate with cross-functional teams to ensure system software support for next-gen features.
• Lead the design and implementation of complex system runtime features.
• Mentor and guide emerging and mid-level engineers in system software technologies.
• Define system software architecture approaches and optimizations.
• Identify and drive initiatives to improve the scalability and performance of AI workloads.
• Cultivate a culture of learning and collaboration within the team.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.