LLVM Compiler Optimization Engineer for Intel AI Accelerator, Leixlip
Client: Intel
Location: Leixlip, Ireland
Job Category: Other
EU work permit required: Yes
Job Reference: 52eae44c6555
Job Views: 7
Posted: 12.08.2025
Expiry Date: 26.09.2025
Job Description
* Conducts design and development to build and optimize AI software.
* Designs, develops, and optimizes AI frameworks such as OpenVINO and contributes to external frameworks like TensorFlow and PyTorch.
* Implements distributed algorithms including model/data parallel frameworks, parameter servers, and dataflow-based asynchronous data communication in machine learning and deep learning frameworks.
* Transforms computational graph representations of neural network models and develops machine learning/deep learning primitives in mathematical libraries.
* Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across teams.
* Optimizes code for various hardware backends and collaborates with researchers in machine learning and deep learning.
* Designs and develops LLVM IR transformation passes to optimize deep learning primitives for AI frameworks on Intel accelerators.
Qualifications
* Masters in Computer Science or equivalent.
* 3-5 years of experience with compiler frameworks, IR optimizations in C/C++.
* Experience developing LLVM transformation passes.
* Good understanding of graph-based algorithms.
* Knowledge of machine learning frameworks is beneficial.
* Strong software engineering background with experience in CI, code reviews, testing.
Additional Information
Experience can be from industry, internships, or academic research.
About the Business Group
The Client Computing Group (CCG) develops Intel's PC products and platforms, including notebooks, desktops, and 2-in-1s. They focus on delivering innovative, purposeful computing experiences that enable users to focus, create, and connect effectively.
Posting Statement
Intel is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, and other protected characteristics.
Benefits
Competitive compensation, stock, bonuses, health, retirement, and vacation benefits. The role supports a hybrid work model, with flexibility to work on-site and off-site, subject to business needs.
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