Senior Solutions Architect, Higher Education – Research
Posted 1ds ago
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Job Description
NVIDIA Solutions Architect advancing multimodal and physical AI research with UK universities and research labs. Integrating accelerated computing, robotics, and AI platforms at supercomputing scale.
Responsibilities:
- Partner with leading research labs, researchers, and university faculty as a trusted technical advisor
- Understand scientific goals and drive joint research projects at supercomputing scale
- Identify and accelerate high-impact workloads by integrating NVIDIA frameworks, libraries, and core software into research projects
- Help researchers amplify their impact through publications, conference presentations, and technical content
- Advocate for accelerated computing, robotics, Multimodal AI, and Physical AI
- Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms
- Mentor power users to become NVIDIA champions
- Track emerging research trends
- Turn gaps between researcher needs and NVIDIA offerings into prototypical solutions
- Provide direct feedback to NVIDIA Engineering
- Maintain deep domain expertise while staying versatile across GPUs, CPUs, networking, and software
- Travel for customer meetings while using conferencing tools to support customer success
Requirements:
- A graduate degree from a leading university in a STEM related discipline
- 5+ years in the multimodal and world model lifecycle on multi-node GPU systems, including video and image data curation at scale, pre-training and post-training, evaluation, and efficient inference
- Strong collaboration and communication skills
- Ability to build relationships with academic and research stakeholders
- Ability to communicate complex ideas clearly to expert and non-expert audiences
- Action oriented, analytical, self-motivated, and passionate learner
- Excellent organization skills for a heavily multi-tasked environment
- Fluent in English, oral and written
- Comfortable working in Python
- PhD from a leading university in a STEM related discipline, with 3+ years of research in the domain
- Track record of thought leadership, including high-impact publications and talks at academic conferences and workshops
- Understanding of scientific policy engagement, grant processes, or national/European research program structures
- Experience with NVIDIA's stack for visual and multimodal AI, including CUDA, CUDA-X, Cosmos world foundation models, NeMo Framework, Megatron, multimodal Nemotron methodology, Isaac robotics platform, NuRec, TensorRT, NIM, and MONAI
Benefits:
- Diverse, supportive environment
- Travel involved, with extensive use of conferencing tools
- Empowerment to determine how to get the job done


















