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The Audio Programmer

C++ Backend Optimization Engineer

The Audio Programmer

C++ Backend Optimization Engineer developing efficient computation kernels for popular music production tools. Collaborating with an international team on audio AI and music technology.

Posted 6/19/2026full-timeRemote • 🌎 Anywhere in the WorldMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
C++

About the role

Key responsibilities & impact
  • Developing highly efficient computation kernels and client-side infrastructure to accelerate the neural network inference / DSP pipeline
  • Working with an international team of R&D Engineers
  • Contributing to one of the most exciting and popular music production tools on the market
  • Having direct influence on systems, product, and architecture

Requirements

What you’ll need
  • Strong skills in Modern C++ (C++17/20/23)
  • Experience with memory management, concurrency, and performance optimisation techniques
  • Understanding of compiler design principles, including Abstract Syntax Trees (AST), intermediate representations (IR) and optimisation 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
  • 3+ years of professional or strong academic/open-source experience related to AI compilers (TVM, MLIR, XLA) or open-source AI inference engines (bonus)
  • Experience with concurrency libraries (oneTBB or OpenMP) (bonus)
  • Experience with GPU programming using Vulkan, Metal, CUDA, SYCL, or OpenCL (bonus)

Benefits

Comp & perks
  • Remote working from anywhere
  • Collaborating with an international team of engineers and music lovers

ATS Keywords

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Hard Skills & Tools
Modern C++C++17C++20C++23memory managementconcurrencyperformance optimisationcompiler design principlescomputational graph optimizationperformance profiling