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The Audio Programmer

C++ Backend Optimization Engineer

London
Posted 22 days ago
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Job Description

This is a remote position.

C++ Backend Optimization Engineer

Audio AI / Music Technology

Remote working from anywhere

Join an international team of R&D Engineers working on one of the most exciting and popular music production tools on the market.

This is an ideal role for an experienced Backend Engineer who is looking for more freedom and responsibility, and likes to work with a team who Get Things Done. It's a great time to join the company as they continue to grow and release more innovative software for producers and songwriters.

As a Backend Optimization Engineer, you'll be responsible for developing highly efficient computation kernels and client-side infrastructure to accelerate the neural network inference / DSP pipeline, already renowned for its extreme efficiency.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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If you're looking for a role where you can have a direct influence on systems, product, and architecture, this is it.

Remote working from anywhere, collaborating with an international team of engineers and music lovers.

Requirements

Essential:

  • Strong skills in Modern C++ (C++17/20/23)
  • Experience with memory management, concurrency, and performance optimization techniques
  • Understanding of compiler design principles, including Abstract Syntax Trees (AST), intermediate representations (IR) and optimization passes
  • Familiar with computational graph optimization and execution strategies within AI inference engines
  • Understanding of basic performance profiling and tuning methodologies (analysing cache misses, memory bandwidth, thread contention)
  • Able to design clean, extensible architectures for new framework features

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Bonus Points For

  • 3+ years of professional or strong academic/open-source experience related to AI compilers (TVM, MLIR, XLA) or open-source AI inference engines
  • Experience with concurrency libraries (oneTBB or OpenMP)
  • Experience with GPU programming using Vulkan, Metal, CUDA, SYCL, or OpenCL
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Skills

Modern C++
Memory Management
Concurrency
Performance Optimisation
Compiler Design
Abstract Syntax Trees
Intermediate Representations
Optimisation Passes
Computational Graph Optimization
AI Inference Engines
Performance Profiling
Tuning Methodologies
Clean Architecture
Concurrency Libraries
GPU Programming

Location

London, England, United Kingdom

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