GPU Software Development Engineer

Intel Corporation•Folsom, CA

8d•$111,030 - $181,940•Onsite

About The Position

Intel is seeking a Graphics Software Engineer to help ensure the robustness and quality of its Graphics IP offerings through validation and debugging of graphics issues. The role focuses on graphics driver and application validation, integrating upcoming graphics features into end-to-end validation flows, and resolving reported failures in collaboration with software and hardware development teams. The engineer works across Display, Media, 3D, Compute, and power-conservation components; analyzes cross-component features to create end-user test scenarios; develops tools to improve validation and debugging efficiency; and enables features for Content Creation, Gaming, and AI applications to improve graphics product functionality and performance. The position is on-site in Folsom, California, and is an experienced hire role.

Requirements

Demonstrate strong quantitative, analytical, and problem-solving skills.
Bachelor's degree in Computer Science, Computer Engineering, or a related field and 3+ years of relevant experience; or a Master's degree in Computer Science, Computer Engineering, or Electrical Engineering and 1+ years of relevant experience; or pursuing a PhD degree with 6+ months of relevant work or academic experience.
Experience with computer graphics hardware and software and GPUs.
Software development experience, with expertise in C, C++, and Python programming.
Validation and debugging/triage experience at the ingredient or platform level in one or more of Graphics, Media, or Display Technology.
Experience with CI/CD and automating complex workflows.

Nice To Haves

Experience with industry-standard APIs and frameworks such as DirectX, OpenGL, OpenCL, and Vulkan.
Experience with the latest Windows OS architecture.
Framework and kernel debugging experience and knowledge of Windows kernel internals.
Experience debugging Windows Driver Model (WDM/WDF) and Kernel Mode Driver.
Understanding of media codecs and use cases.
Knowledge of device and system-level architecture, especially x86-based devices.
Familiarity with debug tools such as Windbg, PIX, GPA, GPUView, emulators, and JTAG debuggers.
Understanding of state-of-the-art machine learning and deep learning algorithms, techniques, and best practices.
Expertise in deep learning frameworks such as TensorFlow and PyTorch.

Responsibilities

Perform graphics driver and application validation and debugging.
Integrate upcoming graphics features into end-to-end validation flows.
Triage and debug reported failures and drive issue resolution with software and hardware development teams.
Work across Display, Media, 3D, Compute, and power-conservation components.
Analyze cross-component features and develop robust end-user test scenarios.
Develop debug tools to improve graphics validation and debugging efficiency.
Enable features for Content Creation applications, Gaming, and AI domains to improve graphics product functionality and performance.