Senior Solutions Architect, Higher Education and Research - Open Models and LLM
Core
Partner with academia and research partners to drive adoption of NVIDIA technology, develop joint research projects at supercomputing scale, and integrate NVIDIA frameworks into research workflows.
Role type
Senior Solutions Architect (AI/LLM)
Builds
Joint research projects, prototypical solutions, and feedback loops for NVIDIA Engineering
Domain
Higher Education, Research, AI, Large Language Models, HPC
Deliverable
production ML models
Required skills
LLM lifecycle management, accelerated computing architecture, Python, CUDA, stakeholder management, technical training
Preferred skills
PhD in STEM, thought leadership in LLMs, research program engagement, NVIDIA AI software stack expertise
Technologies
CUDA, CUDA-X, NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, Triton Inference Server, Nemotron
Responsibilities
Develop understanding of scientific goals and drive joint research projects; Integrate NVIDIA frameworks into research projects; Deliver hands-on trainings, workshops, and demonstrations; Track emerging research trends and provide feedback to Engineering; Maintain expertise across GPUs, CPUs, networking, and software
