At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for passionate technologists with software and hardware. In this Solutions Architect role, you will help researchers and developers accelerating their key workloads by using NVIDIA platform. You'll define and deliver strategic partnerships, lead fruitful technical collaborations, provide first-line technical expertise and developer support, and guide NVIDIA's product strategy.
The Industrial Engineering organization is a strong, growing, and visible group both inside and outside of NVIDIA in this exciting area to drive strategy. We are looking for a self-starting leader to continue to grow this area. Do you thrive on technical engagement? Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!
What you'll be doing:
Create fruitful technical engagements with design and manufacturing teams in key semiconductor companies in Korea and lead strategic relationships with top developers and influential researchers.
Analyze key workloads in those teams, find out the bottleneck that can be improved in latency or runtime perspectives, and help them integrate NVIDIA libraries into their workloads to accelerate them.
Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams by publishing press releases and celebrate together by presenting them at GTC.
Continuously keep up with the latest technologies that not only NVIDIA but also the community researchers provide to the market.
What We Need To See:
5+ years of experience with semiconductor designers/manufacturers or EDA ISVs, e.g. Samsung, SK hynix, Cadence, Synopsys, Siemens, ASML, KLA, TSMC, Intel, etc.
A track record of developing meaningful semiconductor simulation applications using NVIDIA GPUs and CUDA.
Experiences of trying to adopt AI into traditional semiconductor simulations.
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
MS/PhD in Computer Science or Engineering or equivalent experience.
Ways To Stand Out From The Crowd:
Excellent English communication skills
Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.
Experience with NVIDIA products and SDKs: CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”
