Senior Solutions Architect, Higher Education – Research

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Collaborate with top research laboratories, researchers, and university faculty as a reliable technical consultant.

• Comprehend scientific objectives and propel collaborative research initiatives at supercomputing scale.

• Recognize and expedite high-impact workloads by incorporating NVIDIA frameworks, libraries, and core software into research endeavors.

• Assist researchers in enhancing their influence through publications, conference presentations, and technical content creation.

• Promote accelerated computing, robotics, Multimodal AI, and Physical AI.

• Conduct practical training sessions, workshops, lectures, and demos across NVIDIA platforms.

• Guide advanced users to become champions of NVIDIA technology.

• Monitor emerging research trends.

• Bridge gaps between researcher requirements and NVIDIA solutions by developing prototype solutions.

• Offer direct insights to NVIDIA Engineering.

• Maintain extensive domain knowledge while remaining adaptable across GPUs, CPUs, networking, and software.

• Travel for customer meetings while leveraging conferencing tools to ensure customer success.

⛳️ Requirements

• A graduate degree from a prestigious university in a STEM-related field.

• Over 5 years of experience in the multimodal and world model lifecycle on multi-node GPU systems, including large-scale video and image data curation, pre-training and post-training, evaluation, and efficient inference.

• Exceptional collaboration and communication abilities.

• Aptitude for building relationships with academic and research stakeholders.

• Capability to convey complex concepts clearly to both expert and non-expert audiences.

• Action-driven, analytical, self-motivated, and eager to learn.

• Strong organizational skills suited for a highly multi-tasked environment.

• Proficient in English, both spoken and written.

• Comfortable programming in Python.

• PhD from a leading university in a STEM-related discipline, with at least 3 years of research experience in the field.

• Proven record of thought leadership, including impactful publications and presentations at academic conferences and workshops.

• Understanding of scientific policy engagement, grant processes, or national/European research program structures.

• Experience working 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

• Inclusive and supportive work environment.

• Opportunity for travel, with significant use of conferencing tools.

• Empowerment to determine the best approach to accomplish tasks.