GPU Kernel Engineer: ML & Graphics Runtimes

MaC VC; San Diego (CA); Vor Ort; USD 124.000 - 186.000; Vollzeit

Zusammenfassung

Qualcomm Technologies, Inc. is seeking a GPU Software Kernel Development Engineer to help accelerate Machine Learning and image processing on Adreno GPUs.

You will develop and optimize kernels and runtimes, contribute to device drivers, and collaborate with hardware teams to document interfaces. You will work on runtimes and frameworks supporting ML, integrate with OpenCL, OpenGL ES, Vulkan, and DirectX, and write samples, tests, and documentation for internal and external partners across

Qualifikationen

• Bachelor's degree with 2+ years in Software/Hardware/Systems Eng, Game Rendering or related field.
• Master's degree with 1+ year in Software/Hardware/Systems Eng, Game Rendering or related field.
• PhD in related field.

Aufgaben

• Writes code for features, drivers, and APIs in languages like C/C++, Python.
• Identifies design deficiencies and collaborates on solutions.
• Collaborates to implement new features aligning with goals.
• Writes design documentation and feature descriptions.

Kenntnisse

C/C++ programming

GPGPU API (CUDA/OpenCL)

Data structures & algorithms

Analytical & independent work

Ausbildung

Bachelor's degree in related field

Master's degree in related field

PhD in related field

Tools

Python

Git/SCM tools

Jobbeschreibung

Qualcomm Technologies, Inc. is seeking a GPU Software Kernel Development Engineer to help accelerate Machine Learning and image processing on Adreno GPUs.

You will develop and optimize kernels and runtimes, contribute to device drivers, and collaborate with hardware teams to document interfaces. You will work on runtimes and frameworks supporting ML, integrate with OpenCL, OpenGL ES, Vulkan, and DirectX, and write samples, tests, and documentation for internal and external partners across