Senior GPU ML Engineer - Inference Kernel Optimizer

Slashhash; Amsterdam; Hybrid; EUR 120,000 - 150,000; Full time

Job summary

Nebius in Amsterdam is seeking a Senior ML Engineer for its Token Factory team to build and optimize an inference platform for foundation models. You will develop low-level kernels, enhance GPU inference performance, and integrate new hardware architectures, collaborating with ML and backend teams.

Strong C++ or GPU programming and systems-level experience are required to drive end-to-end execution in a fast-paced environment. This role is based in Amsterdam, focusing on cutting-edge AI infra.

Qualifications

• C++ and GPU programming proficiency required.
• Strong memory management and systems-level software experience.
• Knowledge of operating system internals and kernel modules.

Responsibilities

• Develop and optimize low-level kernels and runtime components for AI inference.
• Improve performance of inference engines on GPU platforms.
• Profile and debug system-level and hardware-level performance issues.
• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin).
• Collaborate with ML and backend teams to optimize end-to-end execution.

Skills

C++

GPU programming

Memory management

Systems-level software development

Operating system internals

Kernel modules

Device drivers

Profiling tools

Debugging tools

CPU architecture

GPU architecture

Memory hierarchy

Job description

Nebius in Amsterdam is seeking a Senior ML Engineer for its Token Factory team to build and optimize an inference platform for foundation models. You will develop low-level kernels, enhance GPU inference performance, and integrate new hardware architectures, collaborating with ML and backend teams.

Strong C++ or GPU programming and systems-level experience are required to drive end-to-end execution in a fast-paced environment. This role is based in Amsterdam, focusing on cutting-edge AI infra.