Senior Solutions Architect, Higher Education and Research, AI and HPC

Overview

• NVIDIA has been redefining computer graphics and accelerated computing for three decades.
• Today, we are tapping into the unlimited potential of AI to define the next era of computing.
• Doing what has never been done before takes vision, innovation, and exceptional talent.
• As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world.
• We are looking for a Solutions Architect to work with academia and research partners.
• Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology.
• We seek an individual who combines an intricate understanding of high-performance computing and scientific computing, and of how AI methods are reshaping both, with expertise in accelerated computing and architecture.
• What you will be doing: Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.
• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content.
• Advocate for accelerated computing and AI methods for scientific discovery, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions.
• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering.
• Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software.
• What we need to see: A graduate degree from a leading university in a STEM related discipline or equivalent experience.
• 5+ years in the intersection of HPC and AI, running scientific workloads at scale on multi-node GPU systems and applying machine learning to the same problems.
• Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders, and to communicate complex ideas clearly to both expert and non-expert audiences.
• Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment.
• Fluent in English, both oral and written, and comfortable working in Python.
• Ways to stand out from the crowd: A PhD from a leading university in a STEM related discipline, with 3+ years of research in computational science in combination with AI.
• A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures.
• Experience with NVIDIA's accelerated computing stack for science, powered by CUDA and CUDA-X libraries, e.g.
• PhysicsNeMo, Warp, cuEquivariance, ALCHEMI, Omniverse.
• As a Solutions Architect, there is travel involved, as often the best way to figure things out is a face to-face meeting, but the job is not life on the road.
• We make heavy use of conferencing tools, and you are empowered to figure out how to get the job done and do what it takes to make our customers successful.