About the job
We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis, along with strong foundations in compiler design and domain-specific languages. This role is focused on building AI-driven compiler intelligence for production compiler pipelines, delivering measurable improvements in performance and efficiency, and advancing LLM-enabled workflows for compiler decisioning and developer productivity.
Responsibilities
Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.
Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines.
Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites.
Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.
Qualifications
Minimum
BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools.
8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
Strong knowledge of compilers, code generation, and GPU architecture.
Demonstrated proficiency in Python and C/C++.
Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies.
Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration.
Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
Preferred
Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.
Proven track record of deploying AI/ML solutions in production and embedded environments.
Strong experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality.
Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads.
Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering.