Senior Compiler Engineer - AI
NVIDIAJob Title
Senior Compiler Engineer - AI
Role Summary
Design and implement AI-driven compiler features and optimizations for production compiler pipelines. Integrate learning-based decision systems and LLM interfaces to improve performance, efficiency, and developer productivity.
Work closely with compiler, architecture, and performance teams to validate and deploy solutions at scale.
Experience Level
Senior; approximately 8+ years of relevant software engineering and AI/ML experience.
Responsibilities
Primary responsibilities include designing, developing, and deploying ML/AI solutions integrated into compiler toolchains.
- Design and implement end-to-end ML-driven compiler optimization workflows, from feature engineering and model development to production rollout.
- 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 and workflow automation.
- Collaborate with compiler, architecture, and performance teams to validate impact on representative workloads and benchmarks.
- Lead experimentation, evaluation, and deployment with emphasis on reliability, scalability, and measurable performance gains.
Requirements
Must-have technical skills and experience; education requirements are listed separately below.
- 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
- Strong knowledge of compilers, code generation, and GPU architecture.
- 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 (optimization passes, code generation, frontend integration).
- Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
Nice-to-have:
- Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, or complex systems.
- Proven track record of deploying AI/ML solutions in production with measurable runtime or compile-time improvements; publications, open-source contributions, or patents.
Education Requirements
Bachelor's, Master's, or PhD in Computer Science or a related field (or equivalent practical experience). The posting references computer science and related technical fields; equivalent industry experience is explicitly accepted.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
