Senior Compiler Engineer

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

Job summary

A leading tech company is looking for a Senior Compiler Engineer to work on compiler performance evaluations for machine learning frameworks. You'll have the opportunity to work on cutting-edge gaming and AI projects while optimizing GPU resources. Experience in compiler technologies, C/C++, and familiarity with GPGPU APIs will be crucial for this role.

Qualifications

• Experience with Frontend/Backend LLVM or MLIR.
• Strong programming skills in C or C++.
• Familiarity with SYCL, CUDA, or OpenCL is beneficial.

Responsibilities

• Evaluate and improve performance of machine learning frameworks.
• Apply advanced graph optimization techniques.
• Collaborate on next-generation gaming and AI projects.

Skills

Compiler technologies

C

C++

GPGPU API

Open Source

GPU architecture

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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