GPU Software Development Engineer
IntelUS, California, Folsom$129k – $182kPosted 19 April 2026
Job Description
Job Details:
Job Description:
Join Intel and Build a Better Tomorrow Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So join us and help us create the next generation of technologies that will shape the future for decades to come.
Position Overview We are looking for a Graphics Software Engineer where the key goal will be to focus on rigorously ensuring the robustness and quality of our Graphics IP offerings through meticulous validation and debug of graphics issues. The ideal candidate should have strong quantitative, analytical, and problem-solving skills.
Key Responsibilities As a GPU Software Development Engineer, your responsibilities will include but are not limited to:
• 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
What We're Looking For someone with:
• Ability to demonstrate strong quantitative, analytical, and problem-solving skills
Qualifications:
You must possess the minimum education requirements noted below and minimum required qualifications to be initially considered for this position. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
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.
The required experience must include all the relevant experience in the following list:
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.
Preferred Qualifications Experience in the following:
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.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Folsom
Additional Locations:
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group ... (truncated, view full listing at source)
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