Senior Kernel Optimization Engineer

Emploi pas sur LinkedIn

🕒 il y a 17 jours

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

🦅 Parrain de Visa H1B

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Cerebras Systems

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2016

🤖 Intelligence artificielle

🔧 Matériel

⚕️ Assurance santé

Artificial Intelligence • Hardware • Healthcare Insurance

Cerebras Systems est une entreprise pionnière spécialisée dans le développement de matériel informatique avancé pour l'IA, notamment le Cerebras Wafer Scale Engine, qui offre des performances inégalées en inférence d'IA, surpassant les configurations GPU traditionnelles. Leur technologie de pointe permet à des organisations comme la Mayo Clinic et AlphaSense d'exécuter des modèles d'IA à la pointe de la technologie avec une rapidité et une efficacité remarquables. Avec des options de déploiement flexibles, y compris des solutions en cloud et sur site, Cerebras transforme le paysage des capacités de l'IA pour les équipes innovantes à travers divers secteurs.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.