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

Stellenbeschreibung:

Overview

As a Solutions Architect, you partner with leading labs and researchers to translate scientific goals into scalable NVIDIA-based solutions. You’ll drive joint research projects at supercomputing scale and help researchers amplify impact through publications and talks. You will deliver hands-on training and demonstrations, mentoring power users to become NVIDIA champions. You’ll stay ahead of research trends, turning gaps into prototypical solutions and guiding engineering feedback. This role blends deep AI/HPC domain expertise with NVIDIA’s full platform to accelerate scientific discovery.

Verantwortungsbereiche

Partner with research labs and academia as a trusted technical advisor to understand their goals and drive joint research at HPC scale
Identify high-impact workloads and integrate NVIDIA frameworks and core software into research projects, supporting publications and conference content
Advocate for accelerated computing and Deep Learning through trainings, workshops, lectures, and demonstrations; mentor power users
Track emerging research trends and translate researcher needs into prototypical solutions with direct feedback to Engineering
Maintain deep domain expertise across GPUs, CPUs, networking, and software across the NVIDIA platform

Zentrale Anforderungen

5+ years 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 with the ability to engage with academic and research stakeholders and simplify complex ideas for expert and non-expert audiences
Action oriented, analytical, self-motivated, and a lifelong learner with excellent organizational skills in a multi-tasked environment
Fluent in English (spoken and written) and proficient in Python
Graduate degree in a STEM-related discipline (as a minimum requirement)