Develop and build a strong NVIDIA eco system with the developers of NVIDIA strategic accounts and lead technical collaborations with them so that they can consume NVIDIA computing platforms better.
Understand NVIDIA computing platforms vertically and horizontally and leverage them to contribute to NVIDIA platform consumption – vertically from datacenter facility, GPU, DGX server to CUDA, framework, NVIDIA SDKs, and horizontally from cloud, edge, digital twins, manufacturing, internet services and so on.
Drive adoption of NVIDIA Native SDK’s and Software into developer products and services while being alert to the competitive landscape and communicate internally.
Make broad customer coverage from field staffs to C-level executives and the capabilities of delivering NVIDIA values to each type of customers.
Be NVIDIA technology mentor, evangelize the NVIDIA HW and S/W solutions by being the focal point for the software developers of our strategic accounts and occasionally lend some hands-on technical support.
Various activities that can contribute to our short-term as well as mid-to-long-term business from a technical perspective.
What we need to see:
BA degree in engineering, science or equivalent experience
8+ years of experience
Strong engineering background and experience in generative AI and understanding in SOTA AI technologies.
Understanding in NVIDIA computing platforms and proactive attitudes to connect them with customers’ need.
Ability to work independently and possess excellent communication skills to drive customer and internal engagements.
Desire to be involved in multiple diverse and creative projects
Excellent communication skill both in Korean and English languages.
Ways to stand out from the crowd:
Master's or doctoral degree in science or engineering or AI-related area.
Deep understanding in NVIDIA computing platforms and technologies.
Experience in working with developers in AI eco system or activities related to customer engineering domain
Expertise in C, C++, Python programming languages and generative AI, deep learning and CUDA