NVIDIA AI Technology Center is seeking outstanding Senior Solutions Architects to catalyze the global research community by embedding NVIDIA as a core scientific collaborator. We move beyond standard technical support to act as elite research partners, driving the adoption of NVIDIA's platform through high-impact, co-authored breakthroughs and the shared pursuit of frontier AI discoveries. Primary focus on scientific application engagements with researchers and developers at our key partner researcher from universities and joint labs. You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts dedicated to HPC applications. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!
What you will be doing:
Analyze key scientific applications of top researchers from the universities or enterprises in Korea, understanding data type, input and output, workflow, runtime between CPU and GPU, proportion of MPI communications, etc.
Help them accelerate their applications by resolving the bottleneck that can be improved in latency or runtime perspectives using NVIDIA CUDA libraries and SDKs.
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.
Advise on the transition from experimental code to large-scale, production-ready research environments, demonstrating the performance leap provided by the NVIDIA technology stack.
What we need to see:
PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
Proven experience in managing complex technical projects and navigating corporate strategic goals
5+ year hands-on experience in one or two of HPC fields, for example, electronic structure calculations, molecular dynamics, computational fluid dynamics, astrophysics, numerical weather prediction, or quantum computing
Experience with NVIDIA GPUs and software libraries
Strong problem-solving and debugging skills
Excellent presentation, communication, and collaboration skills
Strong written and oral communication skills in English.
Ways to stand out from the crowd:
Good track record of academic research publications
Experience working across academia, industry and the government
Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.
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 are creative and autonomous, we want to hear from you!
NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
