GPU Performance Engineer for Vision and CUDA

CynLr; Lausanne; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Zusammenfassung

CynLr is seeking a GPU developer to translate vision algorithms and learning software into highly optimized GPU code. You will design and implement kernels, optimize pipelines, and build debugging and visualization tools to showcase neural models on GPU.

You will work within a cross-functional team to push performance, with freedom to define architecture in a startup setting while collaborating closely with the neuroscience and software teams.

Qualifikationen

• Experienced with CUDA and GPU programming
• Strong fundamentals in C/C++
• Proficient with Visual Studio toolchain
• Familiar with GPU profiling and performance optimization

Aufgaben

• Break down neural models into GPU kernels for maximum performance
• Develop and optimize vision processing pipelines on GPU
• Build debugging, profiling, and image visualization tools for GPU
• Work in a startup environment and help shape the product architecture

Kenntnisse

CUDA API

C/C++ fundamentals

Visual Studio

Nsight Compute

GPU profiling

Performance optimization

GPU architectures

GPU memory

Tools

NVIDIA Visual Profiler

NVIDIA Nsight Compute

Graphics Developer tools

Jobbeschreibung

CynLr is seeking a GPU developer to translate vision algorithms and learning software into highly optimized GPU code. You will design and implement kernels, optimize pipelines, and build debugging and visualization tools to showcase neural models on GPU.

You will work within a cross-functional team to push performance, with freedom to define architecture in a startup setting while collaborating closely with the neuroscience and software teams.