NVIDIA
AI
SeniorCompilerEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Compiler Engineer at NVIDIA. Skills: Compiler Technologies, AI/ML, LLVM/MLIR, LLM Integration. Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI. Shape next-generation compiler capabilities”
What You'll Achieve.
delivering measurable improvements in performance and efficiency; advancing LLM-enabled workflows for compiler decisioning and developer productivity; measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads
Industry & Context.
What They're Looking For.
Must Have
BS/MS/PhD in Computer Science or a related field (or equivalent experience), 8+ years of software engineering and AI/ML experience, knowledge of compilers, code generation, and GPU architecture, Demonstrated proficiency in Python and C/C++, 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
Nice to Have
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, 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
What You'll Do.
Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI
Shape next-generation compiler capabilities
Design and implement end-to-end compiler optimization workflows
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
Partner with compiler
and performance teams to validate impact
How You'll Work.
Team & Collaboration
Collaborate with world-class engineers; Partner with compiler, architecture, and performance teams
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. 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. **What you 'll be doing:** * 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 optimizati
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