Senior Compiler Engineer

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

Job summary

A leading global tech company is hiring a Senior Compiler Engineer to work on innovative projects in gaming, XR, and AI. The role involves collaboration on compiler optimization and performance improvement for machine learning frameworks. Candidates should have solid experience with LLVM/MLIR and strong programming skills in C/C++.

Qualifications

• Experience with compiler technologies; Frontend/Backend LLVM or MLIR.
• Strong programming skills in C and/or C++. Familiarity with GPGPU APIs.

Responsibilities

• Evaluate and improve performance of machine learning frameworks using compilation techniques.
• Apply advanced GPU optimization techniques for code utilization.

Skills

Compiler technologies

C

C++

GPGPU API

Open Source

GPU architecture

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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