Senior Compiler Engineer

JR United Kingdom; Reading; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading global tech company seeks a Senior Compiler Engineer to collaborate on next-gen gaming and AI projects. The role involves enhancing the performance of machine learning frameworks using compiler technologies. Ideal candidates should have strong C/C++ skills and experience with GPGPU APIs. Join a world leader in compiler technology and push the boundaries of content creation.

Qualifications

• Experience with Frontend/Backend LLVM or MLIR.
• Familiar with SYCL, CUDA or OpenCL.
• Knowledge of GPU architecture preferred.

Responsibilities

• Evaluate and improve performance of machine learning frameworks.
• Apply advanced graph optimization techniques for GPU resources.

Skills

C

C++

Compiler technologies

GPGPU API

GPU optimization techniques

Job description

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Senior Compiler Engineer - LLVM or MLIR Compilers

We are currently working with a leading global tech company hiring across multiple levels including Senior/Staff & Mid-Level compiler engineering openings. You'll have the chance to work in close collaboration with next-generation gaming, XR and AI projects pushing the boundaries of content creation.

We are searching for someone with knowledge of compilers to evaluate and improve performance of different machine learning frameworks. Applying advanced graph optimization techniques to maximize utilization of GPU HW resources. If you hold experience working with Compilation technologies and you would be interested in working with a world leader in this space - apply below.

Required Skills & Experience needed:

• Prior working experience with compiler technologies may that be with Frontend/Backend LLVM or MLIR.
• Strong programming language skills with C and/or C++.
• Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL.
• Open Source code commits and reviews are beneficial.
• Experience of low level software or hardware development that require looking at computer architecture specifications like compilers, debuggers, models.
• Knowledge of GPU architecture and optimization techniques for GPGPU code would be a plus but not essential.

Keywords: Compiler / Compilation / LLVM / GCC / OpenSource / Linux / C / C++ / Low level / Hardware / debuggers / Fortran / OpenCL / CUDA / MLIR / Machine Learning / GPU / GPGPU

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