Early Career Compiler Engineer - LLVM

Overview

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

Location Options: Sunnyvale, Toronto

We are seeking a new college graduate or early career Compiler Engineer to help design and implement new features in our low-level compiler toolchain including the compiler mid-end, backend, assembler, and linker targeting individual cores in this unique architecture. You’ll work primarily within the LLVM infrastructure, developing code generation and optimization strategies for both existing and future architectures.

This role focuses on generating highly optimized single-core code, foundational to scaling performance across our massively parallel system.

• Design and implement low-level compiler components (compiler backend, assembler, linker) targeting single cores.
• Automate generation of new LLVM targets using high-level architecture description.
• Identify and develop novel LLVM mid-end and backend passes that leverage architectural features and optimize code generation for performance, including memory usage, instruction scheduling, and register allocation.
• Analyze performance bottlenecks and iterate on codegen strategies for complex workloads.
• Work closely with hardware architects, kernel developers, and high-level language designers to ensure end-to-end performance.
• Participate in technical reviews, design discussions, and collaborative debugging.

• Bachelor’s, Master’s, PhD, or foreign equivalents in computer science, engineering, or related field
• Strong conceptual or hands-on experience with LLVM, particularly in backend code generation.
• One or more years of related work experience on compilers/toolchain development or systems programming
• Strong proficiency in C++, especially modern C++ practices.
• Understanding of computer architecture, instruction sets, and memory models.
• Familiarity with linkers, assemblers, and binary formats.

• Exposure to AI/ML workloads and compilers (MLIR, XLA, TVM, etc.).
• Understanding of multi-dimensional data representations and vectorized operations.

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Our simple, non-corporate work culture that respects individual beliefs.

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