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Your responsibilities may include, but are not limited to:
Design and development of Clang FE, DPC++, SYCL technologies, and tools
Development of test cases to cover new functionality and to increase code coverage
Work with other compiler engineers and architects
Work on other compiler technologies
Design, develop, debug and test compiler software and programming languages e.g. advanced compiler optimizations and features specifically for Intel architectures, parallelization and vectorization through compilers, and new programming languages support
May work directly with companies and communities developing compilers, and participate in language and standard groups
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Experience listed below would be obtained through a combination of your school work, classes, research, or relevant previous job and internship experiences.Minimum Qualifications:
Must be pursuing a Bachelor's degree in Computer Science, Computer/Electrical/Software Engineering, or a related discipline.
6+ months of experience with C++
6+ months of experience with Linux or Unix-like development.
This positionis noteligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with three years related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a nonSTEM contributing position, or (2) a STEM position that only requires a bachelor's degree and less than three years' experience
Preferred Qualifications:
Academic or professional experience in compiler construction/optimization (Clang/LLVM, gcc, etc).
Knowledge of processor architectures and hardware accelerators such as GPU/FPGA.
Experience with MLIR, SYCL, CUDA, OMP, performance tuning, parallel programming, and/or debuggers.
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