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Software Engineer Compiler

icon building Company : Baidu Usa
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Software Engineer Compiler

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in the AI industry and the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on the AI industry?


We’re looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system.


Description 


We are looking for general or deep learning compiler engineers to join our compiler team at Baidu’s Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Partially remote working is acceptable for this position. We are building a new team of exceptional people to work together with our core compiler team in China to enable our existing Kunlun products to our clients and the development for ongoing products. Also, we are starting a new company to expand our chip business and deliver new innovative solutions in AI computing. Join us to make your next success!


As a member of our compiler team, we advance compiler technology to accelerate applications in deep learning applications and high-performance applications.


You will:


Develop the deep learning compiler, infrastructure compiler and the software stack for our proprietary high-performance accelerator architecture to enable best performance and power consumption. Work on bringing the compiler code to production quality and support the delivery to external clients on a wide range of applications.


Qualifications



  • Passion for developing and optimizing compilers for modern architectures

  • Experience in (either or both) :

    • LLVM architecture, polyhedral optimizations, auto vectorization, back-end code generation

    • Deep learning compilers, such as TVM, XLA, Glow or the similar



  • Experience with neural networks inference on dedicated SOC or GPU is preferred

  • High level C++ programming expertise

  • Excellent problem solving and debugging skills

  • Availability to work in the evening

  • Master's degree or higher in Computer Science or equivalent field. Ph.D is preferred.

  • Excellent communication skills in both English and Chinese.


Culture Fit:



  • Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.

  • Self-directed: We work best with people that are driven, motivated, and aspire to greatness.

  • Hungry to learn: We are eager to see you learn new skills and grow.

  • Team orientation: We work in small, fast-moving teams. We watch out for each other and go after big goals together as a team.


#LI-DNI

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