AI Benchmark Engineer

il y a 4 semaines


Grenoble, Auvergne-Rhône-Alpes, France SiPearl Temps plein
About SiPearl

SiPearl is a pioneering European company that aims to develop the next generation of high-performance, low-power microprocessors for supercomputing and AI inference. Founded in 2019 with the support of the European Union, SiPearl is part of the European Processor Initiative (EPI) consortium, collaborating with leading names from the scientific community, supercomputing centers, and industry.

Our team is dedicated to building a diverse and inclusive workplace that thrives on the strength of varied perspectives and backgrounds. We recruit talent based on merit, experience, and alignment with our company's goals and values.

About the Role

We are seeking highly motivated R&D engineers to join our AI team, working closely with Etienne Renault, our Compiler Team Leader. As an AI Benchmark Engineer, you will be responsible for evaluating, porting, and optimizing AI applications for our architecture.

Key Responsibilities:

  • Evaluate and optimize AI applications for our architecture
  • Estimate the performance of the next generation of high-performance chips
  • Participate in the optimization of AI frameworks and workflows
  • Collaborate with other teams to guide the development of new optimizations
  • Improve the overall performance of AI and HPC workloads
  • Collaborate with customers and external partners to gather information on requirements

Requirements:

  • 5+ years of relevant experience in benchmarking, performance analysis, and optimizing AI applications
  • Strong background in machine learning and deep learning techniques, notably LLM
  • Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
  • Experience in using/implementing/training/fine-tuning/optimizing foundation models or generative models
  • Good ability to extract and analyze results
  • Proven experience with python/C++ programming, bash, and Linux
  • Experience on ARM architecture
  • Experience on vectorisation and/or heterogeneous memories
  • Comfortable parallel/distributed paradigms
  • Familiarity with ML infrastructures, such as MLIR
  • Experience with natural language processing, computer vision, or audio processing generative models
  • Proven R&D experience
  • Fluency in English is a prerequisite for success in this role

We are committed to assisting international candidates with the visa application process to the best of our ability. If you are curious to learn more about us, follow us on LinkedIn to stay updated with our latest news.

At SiPearl, we value diversity and inclusion, and we are dedicated to creating a workplace that thrives on the strength of varied perspectives and backgrounds.


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