Apple GPU Compiler Backend Infra Engineer

Apple GPU Compiler Backend team seeks a GPU Compiler Backend Infrastructure Engineer to design, build, and maintain the core frameworks supporting instruction encoding for Apple's cutting-edge GPUs. You will play a critical role in enabling compiler development by creating robust and scalable infrastructure, ensuring accurate ISA representation of Apple GPU architectures. This position involves close collaboration with compiler engineers and GPU architecture teams to deliver tooling essential for optimizing performance across Apple GPUs.

Description

Apple's GPU Compiler Backend team develops the advanced compiler toolchain that unleashes the capabilities of our custom silicon. Our work is fundamental to delivering the stunning graphics, high-performance compute, and efficient machine learning that define the Apple experience. In this role, you will: Design, develop, maintain, and enhance the systems, frameworks, and tools specifically used for instruction encoding/decoding within the GPU compiler backend. Ensure this critical infrastructure accurately supports multiple current and future Apple GPU architectures, adapting to new features and requirements. Collaborate closely with GPU architecture teams to deeply understand Instruction Set Architecture (ISA) specifications, changes, and nuances, translating them into accurate models within the compiler infrastructure. Develop and maintain automated testing for the encoding infrastructure to guarantee correctness across hardware generations. Contribute to improving the compiler's build systems, testing frameworks, and overall development workflows. Your work directly impacts the ability of the compiler team to generate highly optimized code, influencing the performance and power efficiency of graphics, machine learning, and compute tasks on all Apple platforms.

Minimum Qualifications

Familiar with Python and other scripting languages. Experience with modern C++ programming. Familiar with software development practices, including version control and build systems. Excellent communication and collaboration skills, with a proven ability to work effectively across teams (especially with hardware/architecture teams). Self-motivated, proactive, and able to work independently in a dynamic environment. Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.

Preferred Qualifications

Good understanding of Instruction Set Architectures (ISAs), assembly language, and low-level hardware details. Familiar with GPU architectures and programming models. Experience developing or maintaining infrastructure for compilers or other complex software toolchains (e.g., LLVM, GCC, simulators, assemblers). Experience building and maintaining large-scale, reliable software systems. Master's degree in a related field.