Senior Kernel Optimization Engineer

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🕒 Maio 21

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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Cerebras Systems

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2016

🤖 Inteligência Artificial

🔧 Hardware

⚕️ Seguro de Saúde

Artificial Intelligence • Hardware • Healthcare Insurance

A Cerebras Systems é uma empresa pioneira que se concentra no desenvolvimento de hardware avançado para IA, especificamente o Cerebras Wafer Scale Engine, que oferece desempenho incomparável em inferência de IA, superando as configurações tradicionais de GPU. Sua tecnologia de ponta permite que organizações como a Mayo Clinic e a AlphaSense executem modelos de IA de última geração com velocidade e eficiência notáveis. Com opções de implantação flexíveis, incluindo soluções em nuvem e locais, a Cerebras está transformando o cenário das capacidades de IA para equipes inovadoras em vários setores.

Descrição

• Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms. • Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system. • Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system. • Using mathematical models and analysis to measure the software performance and inform design decisions. • Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries. • Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks. • Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.

🎯 Requisitos

• Bachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields. • Understanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture. • Skilled in C++ and Python programming languages. • Good knowledge of library and/or API development best practices. • Strong debugging skills and knowledge of debugging complex software stack. • Experience in kernel development and/or testing. • Familiarity with parallel algorithms and distributed memory systems. • Experience in programming accelerators such as GPUs and FPGAs. • Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch. • Familiarity with HPC kernels and their optimization.

🏖️ Benefícios

• Build a breakthrough AI platform beyond the constraints of the GPU. • Publish and open source their cutting-edge AI research. • Work on one of the fastest AI supercomputers in the world. • Enjoy job stability with startup vitality. • Our simple, non-corporate work culture that respects individual beliefs.