GPU Software Development Engineer

Bachelor’s degree in Computer Science, Computer Engineering with 4+ years of relevant experience
OR Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering with 2+ years of relevant experience, or should be pursuing a PhD of Science degree with 1+ years of work or academic experience
Experience with computer graphics hardware and software and GPUs
Software development is critical. C, C++. Python programming expertise and experience
Validation, Debugging/Triage experience at the ingredient or platform level, one of more of the following domains – Graphics, Media, Display Technology

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

Experience in the following: Industry standard API’s 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