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

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

📋 Description

• Collaborate with academic institutions and research partners located in the Greater London area.

• Act as the main technical point of contact and a reliable technical advisor for clients.

• Gain insights into research objectives and lead collaborative research initiatives at supercomputing scale.

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

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

• Promote accelerated computing and deep learning methodologies.

• Conduct hands-on training sessions, workshops, lectures, and demonstrations utilizing NVIDIA platforms.

• Mentor advanced users to cultivate NVIDIA champions.

• Monitor emerging research trends and develop prototype solutions tailored to researcher requirements.

• Provide direct feedback to NVIDIA Engineering.

• Maintain extensive domain knowledge across NVIDIA's platform, including GPUs, CPUs, networking, and software.

• Travel approximately 30% of the time and utilize conferencing tools to assist clients.

⛳️ Requirements

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

• Over 5 years of practical experience managing the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows.

• Excellent collaboration and communication abilities.

• Capability to foster relationships with academic and research stakeholders.

• Proficient in conveying complex concepts clearly to both expert and non-expert audiences.

• Driven, analytical, self-motivated, passionate about learning, with outstanding organizational skills.

• Fluent in English, both spoken and written.

• Comfortable working with Python.

• Preferred: PhD from a distinguished university in a STEM-related discipline, with over 3 years of research experience on large language models or foundation models and their applications.

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

• Preferred: Familiarity with scientific policy engagement, grant processes, or national/European research program frameworks.

• 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 (30% of working time).

• Supportive and diverse work environment.

• Access to conferencing tools and the autonomy to determine how to accomplish tasks.