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    MX Technologies logo

    Senior AI Compiler Engineer

    MX Technologies · Not specified · onsite · Posted 52d ago

    Not disclosed4–7 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    AI Compiler Engineer-Engineer/Senior Engineer

    Locations: Bangalore (Hybrid) /Remote

    The 10 Hottest Semiconductor Startups Of 2025 (So Far)

    Responsibilities

    • Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization.
    • Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges.
    • Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations.
    • Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR).
    • Implement parsing, semantic analysis, and IR generation for deep learning frameworks.
    • Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers.
    • Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations.

    Qualifications

    • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (Ph.D. preferred).
    • 4-7 years in compiler development, with a strong focus on AI or ML graph compilers.
    • Proficiency in AI graph compiler frameworks (e.g., MLIR, Torch-FX)
    • Solid background in hardware architectures (e.g., GPUs, TPUs, ASICs) and optimization techniques such as fusion, quantization, and tiling.
    • Familiarity with neural networks operators and code generation.
    • Strong understanding of intermediate representations, code parsing, and semantic analysis in compiler design.
    • Proficiency in C++, Python, or other programming languages commonly used in compiler development.
    • Open-source contributions to AI software frameworks and libraries is a plus
    • Demonstrated experience leading and mentoring engineering teams with successful project delivery

    • skills
    • MLIR
    • Pytorch
    • compilers
    • graph compilers
    • Torch-Fx
    • hardware Architecture
    • GPU
    • TPU
    • NPU
    • Neural networks
    • tensorflow
    • AI
    • ML
    • DL

    Contact:

    Uday

    Mulya Technologies

    [HIDDEN TEXT]

    Mining The Knowledge Community

    Sourced from foundit

    Skills

    neural networksHardware ArchitectureGPUCompilersMLIRPytorchTensorflowNPUTPUDeep LearningArtificial IntelligenceMachine LearningTorch-FXgraph compilers

    About MX Technologies

    MX Technologies logo

    MX Technologies

    501-1000

    employees

    2010

    16 years old

    Lehi, Utah

    United States

    ₹20.7L PA avg

    Avg at MX Technologies

    About

    MX Technologies provides financial data solutions to institutions and businesses, enhancing decision-making and customer engagement through reliable data connectivity.

    Industries

    BankingFinanceFinancial ServicesFinTech

    Employee ratings

    2 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    4.5

    Work-life

    3.5

    Employees rate it well for

    Compensation & Benefits43Career Growth43

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