C++ Backend Optimization Engineer

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Designing highly efficient computation kernels and client-side infrastructure to enhance the neural network inference / DSP pipeline.

• Collaborating with a global team of R&D Engineers.

• Contributing to one of the most exciting and sought-after music production tools available on the market.

• Having a direct impact on systems, products, and architecture.

⛳️ Requirements

• Proficient in Modern C++ (C++17/20/23).

• Experience in memory management, concurrency, and performance optimization techniques.

• Familiarity with compiler design principles, including Abstract Syntax Trees (AST), intermediate representations (IR), and optimization passes.

• Knowledgeable in computational graph optimization and execution strategies within AI inference engines.

• Understanding of basic performance profiling and tuning methodologies (analyzing cache misses, memory bandwidth, thread contention).

• Capable of designing clean, extensible architectures for new framework features.

• Over 3 years of professional experience or strong academic/open-source involvement related to AI compilers (TVM, MLIR, XLA) or open-source AI inference engines (preferred).

• Experience with concurrency libraries (oneTBB or OpenMP) is a plus.

• Familiarity with GPU programming using Vulkan, Metal, CUDA, SYCL, or OpenCL is a bonus.

🏝️ Benefits

• Remote working from any location.

• Opportunity to collaborate with an international team of engineers and music enthusiasts.