The Apple Neural Engine Software team focuses on developing the compiler and runtime for machine learning accelerators on Apple Silicon. This team is committed to enabling real-time, low-power, and high-performance execution of Deep Learning workloads through hardware acceleration. The environment fosters creativity and collaboration among dynamic individuals. Candidates will work on cutting-edge technology in a fast-paced setting.

• Bachelor's degree and a minimum of 3 years of experience with system software development
• Experience with compiler development
• Excellent programming skills in C, C++, or Python
• Master's or PhD in computer science, machine learning, or a related field
• Experience in low-level software architecture, modeling, or validation
• Familiarity with AI networks such as CNN, transformer, and diffusion model architectures
• Proficiency with profiling and optimizing complex software
• Experience with SoC low-level software development, distributed computing, or hardware acceleration
• Strong background in data science and statistical methods
• Experience with MLIR
• Experience with Swift
• Strong written and verbal communication skills

• Develop the compiler and runtime for machine learning accelerators
• Enable real-time execution of Deep Learning workloads
• Collaborate with team members to foster creativity and partnership
• Analyze large datasets and present complex insights clearly
• Profile and optimize complex software for performance

• 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.