NVIDIA
Senior Compiler Engineer - AI
$184K–$288K
US, TX, Austin +4 · Senior · Full-time · Posted May 15, 2026
- Location
- US, TX, Austin
US, TX, Remote
US, CA, Remote
US, WA, Redmond
US, CA, Santa Clara - Experience
- 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
- Education
- BS/MS/PhD in Computer Science or a related field (or equivalent experience).
About the job
Build AI-driven compiler intelligence and LLM-enabled workflows that improve compiler performance, efficiency, and developer productivity.
What you'll do
- Design and implement end-to-end compiler optimization workflows, from feature engineering and model development through production rollout.
- Integrate learning-based decision systems and LLM interfaces into compiler passes, code generation, and optimization pipelines.
- Evaluate and deploy solutions with compiler, architecture, and performance teams on representative workloads and benchmarks.
What they ask for
- BS/MS/PhD in Computer Science or a related field (or equivalent experience), focused on machine learning and compiler/developer tools.
- Strong knowledge of compilers, code generation, and GPU architecture; hands-on LLVM/MLIR-based compiler development.
- Proficiency in Python and C/C++.
- 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.
- Production AI/ML deployment experience, measurable performance outcomes, or publications, open-source contributions, or patents in relevant areas.
Pay
184,000 USD - 287,500 USD (base salary)
Tools
Python, C/C++, LLVM, MLIR
AI focus
Apply machine learning to compiler optimization and decision systems; integrate LLMs into compiler workflows for recommendations, decision support, and automation.
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