Solutions Architect, Financial Services - Data Center And Infrastructure

Invidia

Multiple Locations
Hybrid
Ai and accelerated computing technologies
Large-scale data center infrastructure
Nvidia gpu and software stacks
NVIDIA is seeking a Solutions Architect for the Financial Services sector, focusing on AI solutions and scalable data center infrastructure. The role involves working closely with financial institutions to implement advanced technologies and optimize data center architectures, requiring strong technical expertise and collaboration skills

Job Summary

  • NVIDIA is seeking a Solutions Architect to lead the design and deployment of cutting-edge AI compute platforms in the financial sector.
  • The role involves close collaboration with customers, partners, and internal teams to deliver high-performance, scalable, and efficient data center architectures.
  • NVIDIA offers highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility.

Matching Summary

Match Score: 85

NVIDIA is seeking a Solutions Architect for the Financial Services sector, focusing on AI solutions and scalable data center infrastructure. The role involves working closely with financial institutions to implement advanced technologies and optimize data center architectures, requiring strong technical expertise and collaboration skills.

Skills & Requirements

Must-have

  • AI and accelerated computing technologies
  • Large-scale data center infrastructure
  • NVIDIA GPU and software stacks
  • Technical pre-sales process expertise
  • Financial services domain knowledge
  • Operating Systems and Linux kernel drivers

Nice-to-have

  • Cloud platforms (AWS, Azure, Google Cloud)
  • Kubernetes and MLOps technologies
  • Liquid cooling technologies
  • InfiniBand and NVIDIA Networking technologies
  • Python or C++ programming
  • Hybrid cloud solutions

Key Requirements

  • BS, MS, or PhD in Machine Learning or Computer Science
  • Minimum 8 years experience in AI and accelerated technologies
  • Proven experience in financial services firms
  • Experience with large-scale systems management and infrastructure automation
  • Proven pre-sales technical engagement experience

Work Rights

Not specified

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