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Senior Compiler Engineer - AI

NVIDIA· Engineer, Sys SW
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Hybrid (Austin, TX), Hybrid (Remote (TX)), Hybrid (Remote (CA)), Hybrid (Santa Clara, CA), Hybrid (Redmond, WA)$184k - $287.5kFull-timePosted 5mo ago

About the role

AI Compiler Engineer focusing on AI-driven compiler intelligence for production compiler pipelines, delivering 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

  • 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.

Skills

Required:Machine learning for compilersCompiler design and optimizationPythonC/C++LLVM/MLIRLLM integration

Benefits

  • equity
  • benefits (as per company policy)
Last updated Jun 26, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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