GPU Software Development Engineer

Role Overview: You will be responsible for driving E2E graphics software debug of Intel Graphics drivers. This includes understanding feature architecture and driving debug of E2E Graphics use cases across various areas like Gaming, Creator, AI, and Platform, focusing on Functionality, Concurrency, Reliability/Stress, and Interoperability. Your role will involve utilizing your strong software engineering background to drive algorithmic solutions from prototype to implementation, including OS/Driver debug skills. Additionally, you will handle all aspects of SW debug, including OS and device drivers, and be able to adapt quickly in ambiguous environments like customer escalations. Your keen focus on problem-solving will be crucial in handling system level triage/debug and collaborating effectively with developers, SW/HW architects to root cause issues. A positive attitude, discipline, and the ability to work in a competitive environment with good written/verbal communication skills are essential for this role. Key Responsibilities: - Drive E2E graphics software debug of Intel Graphics drivers - Understand feature architecture and debug E2E Graphics use cases across Gaming, Creator, AI, and Platform - Develop algorithmic solutions from prototype to implementation, including OS/Driver debug skills - Handle all aspects of SW debug, including OS and device drivers - Adapt quickly in ambiguous environments like customer escalations - Handle system level triage/debug and collaborate with developers, SW/HW architects to root cause issues - Maintain a positive attitude, discipline, and ability to work in a competitive environment Qualifications: - Master's degree with 2+ years of experience or Bachelor's degree with 4+ years in Computer Science, Computer Engineering Skills and Experience - Experience with Windows Driver Model (WDM/WDF), Kernel Mode Driver Framework, and kernel debugging, Windows kernel internals - Experience with graphics hardware and software - Experience in triaging issues related to Power and Performance, Stress n Stability - Good understanding of 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. - Good understanding of industry standard APIs and frameworks such as DirectX, OpenGL, OpenCL, Vulkan - Sound knowledge of software development - C, C++, Python programming expertise and experience is required - Demonstrated software and silicon debug knowledge Additional Company Details: The Client Computing Group (CCG) at Intel is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. The CCG aims to deliver purposeful computing experiences that unlock people's potential, allowing each person to focus, create, and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. This investment fuels innovation across Intel, providing an important source of IP and scale, and helps the company deliver on its purpose of enriching the lives of every person on earth.,