Nvidia Solutions Architect in Seoul, South Korea

Nvidia’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company, and growing our teams with the smartest people in the world. We are looking for you.

NVIDIA is searching for a special Engineer/Scientist for an exciting role as a Solutions Architect. Work with the most exciting high-performance computing hardware, software and impactful projects. Help enable compelling productivity breakthroughs and develop lasting relationships with NVIDIA’s technology users by making NVIDIA technology an integral part of end-user solutions.

You will work with the latest Cloud based GPU accelerated architectures coupled with Deep Learning, and Data Analytics researchers, developers, and customers to build improved workflows and develop new, differentiated solutions. In addition, you will evangelize and influence the NVIDIA GPU Computing experience

What you'll be doing:

  • Assist field business development in guiding the customer through the enablement process for accelerated GPU computing, owning the technical relationship and assisting customer in building creative solutions based on NVIDIA technology.
  • Be an industry leader with a point of view on integrating NVIDIA technology into Enterprise Cloud architectures to support Data Analytics, HPC, and Deep Learning.
  • Be an internal champion for Cloud infrastructure among the NVIDIA technical community.
  • Find innovative applications of our visual computing technologies across from Cloud end-point to core infrastructure

What we need to see:

  • BS in Engineering, Mathematics, Physics, or Computer Science
  • Required Skills & Experience
  • 5+ years Cloud or Enterprise HPC computing infrastructure.
  • Modern Cloud based Enterprise computing architectures experience.
  • Exposure to C, Python, Java, or C++ programming
  • Parallel programming expertise
  • Exposure to GPU technology and CUDA programming
  • Direct experience architecting, managing, and supporting shared compute infrastructure software
  • Experience working with cloud developers and academic research community supporting computer vision, data analytics, or Deep Learning.
  • Strong verbal and written communication skills
  • Strong teamwork and interpersonal skills
  • Ability to multitask effectively in a rapidly changing environment
  • Dedicated with strong analytical and problem solving skills
  • Desire to be involved in diverse and innovative work.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

#deeplearning

  • Posted 3 Days Ago
  • Full time
  • JR1909308