Compiler Engineer

AI Compiler Engineer – Code Generation / Well-funded start-up / Greenfield

A strong opportunity to join a well-funded startup working on a high-performance, hardware-agnostic AI compiler stack. You'll sit at the heart of the code generation pipeline, turning machine learning workloads into highly optimised machine code across heterogeneous hardware targets.

• You will help design, develop, and evolve a modern AI compiler stack delivering efficient execution across multiple hardware architectures
• You'll get the chance to build and extend code generation capabilities that lower high-level ML workloads into optimised, target-specific machine code
• You will work across backend compiler components — instruction selection, register allocation, scheduling — with direct impact on runtime performance
• You'll get the chance to develop new optimisation strategies that exploit emerging hardware capabilities and evolving model architectures
• You will profile compiler output and system performance to surface optimisation opportunities and improve execution efficiency
• You'll get the chance to contribute to kernel generation, parallelisation, and workload partitioning to maximise hardware utilisation
• You will work closely with compiler, systems, and product teams to translate ML requirements into scalable compiler features

• A strong grounding in compiler theory, algorithms, and data structures
• 4+ years of professional experience in compiler engineering or closely related systems infrastructure
• Hands‑on experience with low-level code generation, target‑specific optimisation, or machine code development
• Strong C/C++ skills in complex, performance‑critical codebases
• Experience debugging and optimising compiler‑generated code Clear written and verbal communication skills with the ability to produce technical documentation

• Experience with LLVM, MLIR, or equivalent compiler infrastructure
• Deep knowledge of backend compiler concepts — instruction selection, register allocation, dominance analysis, def-use chains
• Familiarity with ABIs, calling conventions, linking, relocations, and object file formats
• Experience with vectorisation, loop transformations, fusion, unrolling, and parallelisation
• Exposure to ML workloads, AI infrastructure, or hardware acceleration

BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical industry experience.