Senior Solutions Architect, Higher Education – Research

🕒 vor 16 Tagen

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

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👻 Geisterscore 11%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of NVIDIA

NVIDIA

10.000+ Mitarbeiter

Gegründet 1993

🏥 Gesundheitswesen

🏭 Fertigung

🤖 Künstliche Intelligenz

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• Diverse, supportive environment • Travel involved, with extensive use of conferencing tools • Empowerment to determine how to get the job done

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