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Intel GPU Software Development Engineer United States, California 395651478
06.03.2025
Job Description
As a Software Development Engineer your responsibilities will include but are not limited to:
- Driving Graphics SW feature health from pre-silicon to post silicon and driving the feature health both functionality and power/performance to critical debug from E2E view.
- The role involves understanding feature architecture, driving E2E Graphics usages focused across Concurrency, reliability/Stress and Interoperability with focus on power/performance through scalable/automated infrastructure.
- Ability to scale across E2E Display, Media, 3D, Compute and power conversation, cross Component Stress and overall UX focus will require a deep understanding of OS architecture, GEN graphics architecture, graphics drive software architecture and power and performance goals.
- Develop and Enable cutting edge E2E Machine Learning/Deep Learning and Media Workloads on next generation Graphics Platforms.
- Ability to Triage and Debug of E2E test failures and drive issue resolution with software and hardware development team
- Responsible for providing internal and external feedback to implement upcoming graphics features in yet-to-be-released OSes to ensure our hardware and software will function and perform as expected on next generation platforms as well as designing/developing/implementing graphics system-level software for future platforms.
- Develop automation tests for use cases.
The ideal candidate will exhibit the following behavioral traits:
- Ability to demonstrate strong quantitative, analytical, and problem solving skills.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum qualifications:
The candidate must possess the following;
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering with 2+ years of experience
- OR Masters degree in Computer Science, Computer Engineering, or Electrical Engineering with 1+ years of work or education experience
Your experience should be in the following:
- Sound knowledge of software development is critical. Python programming expertise and experience is required.
- Experience with the Windows Driver Model(WDM/WDF), Kernel Mode Driver Framework and kernel debugging, Windows kernel internals
- Knowledge of device and system-level architecture, especially x86 based devices.
Preferred qualifications:
- Thorough understanding of graphics hardware and software, including but not limited to industry standard API's and frameworks such as DirectX, OpenGL, OpenCL, Vulkan.
- Debugging/Triage experience at the ingredient or platform level, one of more of the following domains - Graphics, Connectivity, Media, Power Management, BM, EM, DPTF, Storage, USB Type-C.
- Experience in triaging issues related to Power and Performance, Stress n Stability.
- Good understanding in state of the art machine learning and deep learning algorithms, techniques and best practices, Expertise in Deep Learning Frameworks : Tensorflow, Pytorch.
- Familiarity with various debug tools including emulators/JTAG-debuggers, Windbg, etc.
- Microsoft Telemetry expertise will be an advantage
- Experience in C, C++.
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