Deep Learning Engineer

il y a 6 jours


Paris, Île-de-France Rival Temps plein

Rivos is developing optimized Deep Learning operators for its SIMT machine, providing optimal use of the compute units the HW exposes. As a Deep Learning Libraries engineer, you will contribute to development and optimization of many operators used for both training and inference of Deep Neural Networks. You will be able to influence the architectural decision of the HW engine to deliver more performant and power-efficient solutions. In a vertical development approach, you will be contributing extensively to all the other parts of the solution: client software, compiler, runtime, and simulator to help define the next generations of our solution.

Key Responsibilities
  • Design and implement critical parts of the DL operators libraries, including kernels used by PyTorch.
  • Contribute to the performance analysis flow to guide optimization work.
  • Contribute to the functional and performance ISA simulators.
  • Collaborate cross-functionally with Silicon design, architecture experts, and other teams across the company.
Requirements
  • At least 3 years of experience in numerical library development.
  • Strong C++ programming skills.
  • Strong knowledge of parallel programming languages.
  • Experience with PyTorch is a plus.
  • Strong background in dense linear algebra software.
  • Excellent problem-solving skills, written and verbal communication, organization skills, and highly self-motivated.
  • Ability to work well in a team and be productive under aggressive schedules.

Education and Experience

PhD, Master's Degree, or Bachelor's Degree in a technical subject area.



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