We are looking for engineers who will work actively in open source communities to establish and augment compiler and system software toolsets. In this role, you will add and enhance support for our hardware in open source projects. You will collaborate with hardware and software engineers to enable efficient usage of our silicon for a broad set of applications including machine learning. You will work with the team on the entire compilation stack including optimizing code generation, improving performance, and programmer usability.

Responsibilities:

• Work in the GCC, LLVM, glibc, and related open source communities to add features and improve performance for custom processors
• Identify areas for improvement in compiler toolsets via benchmarking and code analysis
• Collaborate with hardware teams to plan, identify, and contribute support in open source projects for hardware features in custom silicon
• Identify areas for improvement in tool usability via interaction with users
• Explore new optimization frameworks for leveraging advanced CPU features
• Design, develop, and contribute features to open source ML frameworks

Minimum qualifications:

• Knowledge and/or experience in compiler frameworks such as GCC or LLVM
• Experience in working with open source communities
• Programming in C/C++
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field

Preferred qualifications:

• Master’s degree or PhD in Engineering, Information Systems, Computer Science, or related field
• Established record of contributions to open source compiler project
• Strong background in computer architecture

• Are you interested in this position?

   

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