Compiler Code Generation Engineer

About the Role We are looking for a Compiler Code Generation Engineer to design and build the core code generation capabilities within our high-performance, portable AI compiler. This is a foundational engineering role where you will work directly on the subsystems responsible for translating high-level ML computations into optimized machine code across heterogeneous hardware targets. If you enjoy working on instruction selection, register allocation, and low-level target-specific optimization, and you want that work to make an impact on the next era of AI infrastructure, this position is for you. Role Responsibilities • Participate in the design, development, maintenance, and enhancement of our heterogeneous AI compiler stack. • Architect and deploy new code generation features based on our unique compiler architecture. • Recommend architectural extensions and upgrades in response to evolving hardware capabilities and ML model designs. • Utilize cutting-edge parallelization and partitioning methodologies to automate kernel generation and unlock high-performance execution paths. • Analyze profiling and performance data to uncover optimization gaps and deliver measurable system gains. • Work alongside our product team to map the changing requirements of ML engineers into concrete architectural features. Key Requirements • BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. • 4+ years of professional experience developing compiler software. • Thorough understanding of compiler algorithms and data structures. • Practical experience with and strong interest in low-level code generation, target-specific optimizations, and object file manipulation. • 4+ years of hands-on experience utilizing C/C++. • Strong verbal and written communication skills, with the ability to author clear, concise technical documentation. Preferred Skills and Experience • Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. • Solid understanding of classic compiler mechanics: instruction selection, register allocation, dominance analysis, and def-use chains. • Familiarity with binary interfaces, calling conventions, APIs, linking, and relocations. • Practical working knowledge of the LLVM infrastructure. • Direct experience handling loop optimizations, vectorization, unrolling, fusion, and parallelization. • Familiarity with modern machine learning workloads and their associated hardware constraints.