GPU Software Development Engineer

Intel Intel · Semiconductors · California, Folsom, United States

GPU Software Development Engineer focused on validation and debug of graphics IP, integrating features, triaging failures, and developing debug tools. The role involves scaling across display, media, 3D, compute, and power conservation components, and enabling features for AI domains to improve performance on graphics products. Requires strong analytical and problem-solving skills, with experience in C, C++, Python, and graphics/GPU hardware/software.

What you'd actually do

  1. Graphics Driver/Application related validation and debug activities
  2. Integrate upcoming graphics features into end-to-end validation flows
  3. Triage and Debug reported failures and drive issue resolution with software and hardware development teams
  4. Scale across end-to-end Display, Media, 3D, Compute and power conservation components
  5. Analyze cross component features to develop robust end user test scenarios

Skills

Required

  • 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 have

  • 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.

What the JD emphasized

  • Graphics Driver/Application related validation and debug activities
  • 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