Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI
Core
Partner with academia and research partners to drive adoption of NVIDIA technology in Multimodal AI and Physical AI, developing joint research projects at supercomputing scale.
Role type
Senior Solutions Architect (Multimodal and Physical AI)
Builds
Joint research projects, prototypical solutions, and technical content for academic and research partners
Domain
Higher Education and Research, Multimodal AI, Physical AI, Accelerated Computing
Deliverable
client delivery
Required skills
Multimodal AI lifecycle expertise, Physical AI expertise, Accelerated computing architecture, GPU system integration, Research project management, Technical training and mentorship, Python programming
Preferred skills
PhD in STEM, Thought leadership (publications/talks), Research program engagement, NVIDIA stack expertise (CUDA, Cosmos, NeMo, Isaac, TensorRT)
Technologies
CUDA, CUDA-X, Cosmos, NeMo Framework, Megatron, Isaac robotics platform, NuRec, TensorRT, NIM, MONAI
Responsibilities
Develop understanding of scientific goals and drive joint research projects at supercomputing scale; Integrate NVIDIA frameworks into research projects to amplify impact; Deliver hands-on trainings, workshops, and demonstrations; Track emerging research trends and create prototypical solutions; Maintain expertise across NVIDIA's full platform (GPUs, CPUs, networking, software)
