GPU Software Development Engineer

Intel Corporation•Folsom, CA

2d•$111,030 - $181,940•Onsite

About The Position

Intel is seeking a Graphics Software Engineer to focus on rigorously ensuring the robustness and quality of their Graphics IP offerings through meticulous validation and debug of graphics issues. The ideal candidate should possess strong quantitative, analytical, and problem-solving skills. This role involves integrating upcoming graphics features, triaging and debugging reported failures, and driving issue resolution with software and hardware development teams. The engineer will scale across end-to-end Display, Media, 3D, Compute, and power conservation components, analyze cross-component features to develop robust end-user test scenarios, and develop debug tools to improve graphics validation and debug efficiency. The role also enables new features for Content Creation applications, Gaming, and AI domains to enhance functionality and performance on graphics products.

Requirements

Bachelor's degree in Computer Science, Computer Engineering or related field with 3+ years of relevant experience OR Master's degree in Computer Science, Computer Engineering, or Electrical Engineering with 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 - C, C++, Python programming expertise and experience required
Validation, Debugging/Triage experience at the ingredient or platform level in one or more of the following domains: Graphics, Media, Display Technology
Experience with CI/CD and automating complex workflows.

Nice To Haves

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

Responsibilities

Graphics Driver/Application related validation and debug activities
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
Scale across end-to-end Display, Media, 3D, Compute and power conservation components
Analyze cross component features to develop robust end user test scenarios
Develop debug tools to improve graphics validation and debug efficiency
Enable new features for Content Creation applications, Gaming and AI domains to improve functionality and performance on graphics products