Senior Solutions Architect, Higher Education and Research – Open Models, LLM

🕒 August 28

🌐 United Kingdom, France, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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

👻 Ghost score 21%

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 and deep learning • Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms • Mentor power users to become NVIDIA champions • Track emerging research trends • Develop prototypical solutions from gaps between researcher needs and NVIDIA offerings • Provide direct feedback to NVIDIA Engineering • Maintain deep domain expertise across NVIDIA GPUs, CPUs, networking, and software • Serve as a primary technical contact for customers and engage with researchers and application developers to drive NVIDIA technology adoption • Travel approximately 30% of working time for customer meetings

🎯 Requirements

• A graduate degree from a leading university in a STEM related discipline • 5+ years of hands-on experience running the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows • 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 • Preferred: PhD from a leading university in a STEM related discipline, with 3+ years of research on large language models or foundation models and their applications • Preferred: Track record of thought leadership, including high-impact publications and talks at academic conferences and workshops • Preferred: Understanding of scientific policy engagement, grant processes, or national/European research program structures • Preferred: Experience with NVIDIA's AI software stack, including CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, Triton Inference Server, and Nemotron open-model methodology

🏖️ Benefits

• Travel involved at 30% of working time • Conferencing tools used extensively • Empowerment to determine how to get the job done and support customer success