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

NVIDIA· Architect, Solutions
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Hybrid (Munich, Germany), Hybrid (Germany (Remote))full-timePosted 1mo ago

About the role

Solutions Architect for academia and research partners focusing on HPC, AI, and accelerated computing. Acts as technical advisor to researchers and application developers, driving adoption of NVIDIA technology and co-developing scalable, research-grade solutions.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Graduate degree in STEM or equivalentHPC and AI experienceCollaboration and communicationPython proficiency
Last updated Sep 4, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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