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    Home/Jobs/Senior Compiler Engineer - AI

    Senior Compiler Engineer - AI

    Nvidia

    Redmond / Santa Clara
    8+ years
    Today
    ₹154–241 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Reinforcement Learning
    Genetic Algorithms
    Evolutionary Algorithms
    Predictive Modeling
    Complex Systems
    Machine Learning
    Compiler Design
    Domain-specific Languages
    Python
    C++
    LLVM
    MLIR
    GPU Architecture
    Code Generation

    Description

    NVIDIA is seeking a Senior Compiler Engineer with expertise in AI and compiler technologies to develop AI-driven compiler intelligence and improve performance and efficiency in production compiler pipelines.

    Company: NVIDIA

    Role: Senior Compiler Engineer - AI

    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
    • Experience in tools or systems development
    • Hands-on experience with LLVM/MLIR-based compiler development
    • Experience building or integrating LLM-based systems in production environments

    Key Skills:

    • Machine learning
    • Reinforcement learning
    • Genetic/evolutionary algorithms
    • Predictive modeling
    • Complex systems
    • High-dimensional data analysis
    • Compiler design
    • Domain-specific languages
    • Python
    • C/C++
    • LLVM
    • MLIR
    • Code generation
    • GPU architecture
    • LLM integration

    Qualification:

    • BS/MS/PhD in Computer Science or related field or equivalent experience

    Role Focus:

    • Drive innovative solutions in compilers and developer tools using applied machine learning and AI
    • Collaborate with engineers to shape next-generation compiler capabilities
    • Design and implement end-to-end compiler optimization workflows
    • Develop and integrate learning-based decision systems into compiler passes and optimization pipelines
    • Build interfaces between LLM systems and compiler infrastructure for optimization and automation
    • Partner with compiler, architecture, and performance teams to validate impact on workloads and benchmarks
    • Lead experimentation, evaluation, and deployment with standards for reliability, scalability, and performance

    Additional responsibilities:

    • Deliver measurable improvements in performance and efficiency
    • Advance LLM-enabled workflows for compiler decisioning and developer productivity

    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
    • 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
    • Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering

    Other:

    • Competitive salaries with base salary range from 184,000 USD to 287,500 USD depending on location and experience
    • Eligible for equity and benefits
    • NVIDIA is an equal opportunity employer committed to diversity
    • NVIDIA uses AI tools in its recruiting processes
    • Applications accepted until May 19, 2026

    Prepare for this role

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