Hyperscaler Solutions Expert

2 weeks ago


Reading, Reading, United Kingdom NVIDIA Full time

NVIDIA's Worldwide Field Operations team is seeking a Solutions Architect with expertise in Machine Learning, Deep Learning, and Data Science applications to collaborate with our Hyperscalers partners. In our Solutions Architecture team, we work with the most advanced platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. Our goal is to develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners, and our end-customers. Your duties will vary from working on proof-of-concept demonstrations to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI.

Key Responsibilities:

  • Develop and demonstrate solutions based on Hyperscalers and NVIDIA's pioneering GenAI software and hardware technologies to developers.
  • Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products.
  • Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform.
  • Partner with Engineering, Product, and Sales teams to understand developer's challenges and plan for the best suitable solutions.
  • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

Requirements:

  • MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
  • 3+ years of academic and/or industry experience in fields related to machine learning, deep learning, and/or data science.
  • Excellent ability to listen, both verbal and written communication skills, and being comfortable with presenting technical solutions in English.
  • Expertise in deploying large-scale training and inferencing pipeline on Hyperscaler's infrastructure.
  • You are a self-starter with interest in growth, passion for continuous learning, and sharing findings across the team.

Preferred Qualifications:

  • Experience running and optimizing large-scale distributed DL training.
  • Expertise in optimizing inference pipeline, using a range of inferencing techniques (e.g., understanding of model compression techniques, model compilation, or model serving).
  • Background with working with larger transformer-based architectures.
  • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.
  • Understanding of HPC systems: data center design, high-speed interconnect InfiniBand, cluster storage, and scheduling-related design and/or management experience.


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