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Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI

NVIDIA· Architect, Solutions
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Munich, Germanyfull-timePosted 1mo ago

About the role

Solutions Architect to work with academia and research partners, focusing on Multimodal and Physical AI with expertise in accelerated computing and architecture. Primary technical contact for customers, driving adoption of NVIDIA technology in research environments.

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, robotics, Multimodal AI and Physical AI, 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 across the multimodal and world model lifecycle on multi-node GPU systems: video and image data curation at scale, pre-training and post-training, evaluation, and efficient inference.
  • 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 (STEM) or equivalent experienceExperience with multimodal and world model lifecycle on multi-node GPU systemsCollaboration and communicationEnglish fluency (oral and written)Python programming
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

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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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