Lead Compiler Engineer (Neural Engine)

Who you are

You have a BS and at least 10 years of experience in system software development, showcasing your ability to analyze, design, and implement software that interfaces with hardware for artificial intelligence applications across various Apple product platforms. Your experience in compiler development is complemented by excellent programming skills in C++, C, or Swift, allowing you to contribute effectively to the team. You possess strong written and verbal communication skills in English, enabling you to mentor and guide other developers while ensuring technical excellence in your work.

Your educational background may include an MS or PhD in computer science, machine learning, or a related field, which enhances your understanding of low-level software architecture, modeling, or validation. Familiarity with AI networks, such as CNN, transformer, and diffusion model architectures, is a plus, as is proficiency in profiling and optimizing complex software. You have a strong background in data science, which supports your ability to engage with QA teams and conduct performance profiling and diagnostics using specialized tools.

Desirable

Experience in SoC low-level software development, distributed computing, or hardware acceleration will set you apart. Your ability to collaborate closely with model teams to support new machine learning models on Apple hardware will be invaluable in this role.

What you'll do

As a Lead Compiler Engineer in the Apple Neural Engine Software team, you will take on technical leadership responsibilities, guiding and mentoring other developers while ensuring the delivery of robust and maintainable software. You will design and develop compiler optimizations aimed at improving the latency and bandwidth of machine learning models, contributing to the overall performance of Apple’s AI applications.

Your role will involve developing software across the compiler, framework, driver, and firmware, requiring a deep understanding of the interactions between software and hardware. You will collaborate closely with model teams to support the integration of new machine learning models, ensuring that they perform optimally on Apple’s hardware.

Conducting performance profiling and diagnostics will be a key part of your responsibilities, as you will engage with QA teams to ensure the quality and reliability of the software. Your expertise in compiler development will be crucial as you analyze and implement software solutions that enhance the capabilities of Apple’s Neural Engine.

What we offer

At Apple, you will be part of a diverse team that values inclusion and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe that diverse teams build better products. You will have the opportunity to work on cutting-edge technology that impacts millions of users worldwide, contributing to the future of artificial intelligence and machine learning.

We offer a competitive salary and benefits package, along with opportunities for professional growth and development. Join us in our mission to create innovative products that enhance the lives of our customers.

You will be working in Zurich, a vibrant city known for its rich culture and high quality of life, providing a great environment for both personal and professional growth.