Senior Compiler Engineer

JR United Kingdom; Colchester; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global tech company is seeking a Senior Compiler Engineer to enhance performance across advanced gaming, XR, and AI projects. The role focuses on compiler technologies with opportunities to contribute to innovative machine learning frameworks while working in a collaborative environment.

Qualifications

• Prior experience with LLVM or MLIR, working with compiler technologies.
• Strong programming skills in C and/or C++.
• Familiar with SYCL, CUDA, or OpenCL APIs.

Responsibilities

• Evaluate and improve performance of machine learning frameworks using optimization techniques.
• Collaborate with advanced gaming and AI projects.
• Maximize GPU hardware resource utilization.

Skills

Compiler technologies

C

C++

GPGPU API

Open Source contributions

Computer architecture

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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