Senior Solutions Architect, Generative AI Research

Join NVIDIA to help university researchers advance the next generation of foundation models, multimodal AI, reasoning systems, and AI agents.

As a Senior Solutions Architect for our Higher Education and Research Team, you will support academic developers working on LLMs, VLMs, pretraining, post-training, evaluation, inference studies, scalable systems, and agent behaviors.

Responsibilities:

• Partner with universities to shape high-impact work on foundation models, generative AI, multimodal AI, reasoning systems, AI agents, and AI systems.
• Advise labs on GPU-accelerated training, inference studies, agent evaluation, tool-use methods, data pipelines, scaling experiments, and reproducible workflows.
• Help build research prototypes with researchers utilizing the NVIDIA full stack.
• Analyze throughput, memory, parallelism, latency, and scaling across workstations, multi-GPU servers, and campus HPC clusters.
• Translate lab feedback into technical examples, workshops, roadmap input, and adoption guidance for NVIDIA teams.
• Travel up to 20%.

Requirements:

• BS, MS or PhD in Computer Science, AI/ML, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent experience.
• 8+ years of hands-on experience with AI systems, accelerated computing, distributed training, inference studies, or research-scale generative AI workflows.
• Deep foundational AI expertise across LLMs, VLMs, multimodal models, reasoning, long-context models, fine-tuning, post-training, agentic AI, and evaluation.
• Strong systems fluency in PyTorch or JAX, Python, Linux, distributed AI, data loading, checkpointing, memory optimization, batching, scheduling, latency, and throughput.
• Experience guiding faculty, graduate researchers, and research-computing teams on benchmarks, reproducibility, reliability, safety, agent evaluation, and research impact.
• Clear communication, technical judgment, and comfort turning complex model, agent, and infrastructure questions into practical next steps for labs.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility
• Visit www.nvidiabenefits.com/ for more information