Senior Solutions Architect, Higher Education – Research

🕒 Yesterday

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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