Job Description
Job Description
Do Something Wonderful. Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow. We are looking for a GPU Compiler Engineer to join our team who is ready to make significant impact on AI, Data center and client graphics via novel architectural features and advanced optimizations. Design and develop state of the art compiler translations and optimizations targeting GPU. Investigate and prototype new optimizations to improve performance and efficiency for GPU systems. Collaborate with GPU HW architects to co-design/define new uArch features and ISA for future Intel. Performance measurement and workload analysis to evaluate and improve the compilation technology on new HW features. Write technical specification, design documents, and patent disclosures.Qualifications
Minimum Qualifications:
Bachelor's degree in Computer Science or related STEM degree and 2+ years' relevant experience.
Master's or Ph.D. degree in Computer Science or related STEM degree and 1 year's relevant experience.
Minimum skills we are looking for:
- Knowledge of LLVM compiler internals and/or GPU compiler technology supported by professional experience in the domain.
- C/C++ programming skills supported by work experience on industry projects using these languages.
- Software Development within a GPU compilation stack.
Preferred Skills and Experience that will make you stand out:
- Design and development of a product compiler, e.g. in intermediate representation, transformations, dataflow/control-flow/dependence analysis, optimizations, and code generation.
- Experience in compiler backend modules, e.g. instruction scheduling, register allocation, and machine specific optimizations and code selection.
- Familiar with GPGPU architecture and programming model
- Experience in performance analysis and tuning of compiler transformations and optimizations.
- Experience with performance analysis and tuning of compiler transformations and optimizations.
- Hands-on development of compiler tools, such as assembler, linker, debugger, etc.
- Knowledge of 3D/Compute APIs e.g. DirectX, DirectML, OpenGL, OpenCL, Vulkan, etc.
- Thorough understanding of complex interactions between the API, OS, device drivers and vendor-specific hardware in a GPU SW stack on Windows OS.
- Experience in using software development infrastructure - GitHub, JIRA, CMake, scripting languages.