As a Machine Learning Compiler 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 architecting and optimizing the compiler for Apple's proprietary Neural Engine Accelerator, with an emphasis on deep learning inference. You will collaborate with cross-functional teams and mentor emerging engineers while driving initiatives that enhance AI workload performance. This position offers a dynamic environment to shape the future of computing through innovative technologies.

• Bachelor's degree in Computer Science, Computer Engineering, or a related field with 5 years of relevant experience.
• Experience with program analysis and Intermediate Representation (IR), particularly with MLIR and LLVM.
• Proven expertise in compiler design and architecture, including experience with front-end and middle-end optimizations.
• High-level proficiency in C++ and experience working with large, complex software systems.
• Demonstrated ability to ship high-quality production software.
• Strong communication skills and ability to collaborate effectively across teams and functions.
• Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments.
• Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools.
• Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques.

• Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference.
• Collaborate with cross-functional teams to bring new hardware silicon to market and ensure compiler support for next-gen features.
• Lead the design and implementation of complex compiler features, advancing technical capabilities and strategic alignment.
• Mentor and guide emerging and mid-level engineers, sharing expertise to foster their growth in compiler technologies.
• Define new compiler architecture approaches and optimizations, balancing trade-offs between performance and energy efficiency.
• Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware.
• Cultivate a culture of learning and collaboration, encouraging innovation and supporting engineers in their development.

• 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.