GPU Software Development Engineer
Intel
About the Role
Intel is seeking a Graphics Software Engineer focused on ensuring the robustness and quality of Graphics IP offerings through meticulous validation and debug of graphics issues. The ideal candidate possesses strong quantitative, analytical, and problem-solving skills.
Key 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
Requirements & Tech Stack
- Ability to demonstrate strong quantitative, analytical, and problem-solving skills
- Experience with computer graphics hardware and software and GPUs
- Software development experience: C, C++, Python programming expertise and experience
- 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
Qualifications
Minimum Qualifications
- 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.
Preferred Qualifications
- Experience with 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
- Understanding in state-of-the-art machine learning and deep learning algorithms, techniques and best practices.
- Expertise in Deep Learning Frameworks: TensorFlow, PyTorch.
Work Model
- This role will require an on-site presence.