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Solution Architect - CSP Cloud

1 Month ago • 5 Years + • Research & Development

Job Summary

Job Description

NVIDIA seeks a Solution Architect specializing in CSP cloud solutions for major Chinese customers (Baidu, Alibaba, Tencent). Responsibilities include assisting the business development team, working with CSP cloud products and industry solutions, and helping customers integrate NVIDIA technology into their AI/Data science/HPC workloads. The role requires expertise in deep learning, application architecture, and accelerated computing, along with strong communication and customer-facing skills. The architect will develop solution references, drive ecosystem adoption, and champion NVIDIA's technology within the technical community. The position demands proficiency in modern deep learning software, parallel programming, GPU technology, and CUDA programming, along with experience with supercomputing and technical computing customers.
Must have:
  • 5+ years Deep Learning experience
  • Application architecture analysis & design
  • Effective communication & presentation skills
  • Customer facing skills
  • Modern Deep Learning software architecture knowledge
  • Parallel programming, GPU technology & CUDA programming experience
  • C++/Python programming experience
  • Supercomputing & technical computing customer experience
Good to have:
  • CUDA optimization experience
  • Large-scale computing & cluster computing skills
  • Machine learning, CNN expertise
  • Internet AI application, Education/Gov. research, HPC experience

Job Details

NVIDIA is looking for an outstanding CSP Cloud Solution Architect focused on our major CSP customers in China (Baidu, Alibaba, Tencent). As part of the NVIDIA Solution Architecture organization, you will work with CSP cloud products and industry solution team and drive end-to-end technology solutions integration with CSP cloud solution,  and make sure key customers’ AI/Data science/HPC related application workload adopt and run efficiently on NVIDIA accelerated computing platforms.

What you’ll be doing:

  • Assist NVIDIA CSP business development team, work with CSP cloud products and industry/regional solutions and their key customers, assisting customers in building innovative solutions based on NVIDIA technology.
  • Be an industry thought leader on integrating NVIDIA technology into CSP cloud products and key industry customers’ core AI/Data science/HPC workload.  Develop industry solution understanding lead architecture/pipeline analysis to assist customers build NVIDIA’s accelerated computing technology integration solution.
  • Build NVIDIA’s solution reference for key Cloud customers workload and assist on driving  cloud/customer SA/Engineer ecosystem to help broader cloud workload adoption and NVIDIA’s accelerated computing platform promotion in cloud industry customers.
  • Be an internal/external  solution and technology champion for strategic CSP customers’ Deep Learning or Data Science workload among the NVIDIA/CSP accelerated computing industry solution technical community.

What we need to see:

  • BS or equivalent experience in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable
  • 5+ years of Deep Learning experience
  • Rich experiencing in application architecture analysis and design, with effective communication and presentation skills.
  • Customer facing skill-set and background as well as the ability to communicate effectively with customers.
  • Experience working with modern Deep Learning software architecture and accelerated computing software/framework, Practical knowledge of Parallel programming,  GPU technology and CUDA programming.
  • C++/python programming experience
  • Experience working with supercomputing and technical computing customers
  • Strong teamwork and interpersonal skills; able to multitask in a fast paced environment
  • Strong analytical and problem solving skills
  • Ability to balance multiple accounts during implementation of new technology and products into very complex projects

Ways to stand out from the crowd:

  • CUDA optimization experience
  • Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks
  • Internet AI application, Education research, Gov. funded research, HPC experience

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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