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.
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Senior Solutions Architect, Higher Education and Research, AI and HPC Arbeitgeber: NVIDIA Corporation
NVIDIA ist ein herausragender Arbeitgeber, der nicht nur innovative Technologien im Bereich Grafik und KI vorantreibt, sondern auch eine unterstützende und vielfältige Arbeitsumgebung bietet. Als Teil des EMEA-Leadership-Teams haben Sie die Möglichkeit, in einem dynamischen Umfeld zu arbeiten, das auf persönliches Wachstum und Teamarbeit setzt. Mit wettbewerbsfähigen Gehältern und einem umfassenden Leistungspaket sorgt NVIDIA dafür, dass Sie und Ihre Familie bestens versorgt sind, während Sie an der Spitze der technologischen Entwicklung stehen.
