Description
We are looking for a Solutions Architect with expertise in Large Language Model, generative AI, agentic AI, or recommender system. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing.
Key responsibilities include: Assisting field business development in guiding the customer build/extend their GPU infrastructures for AI. Help customers build their large-scale projects, especially Large Language Model (LLM) projects. Engage with customers to perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers.
Requirements include: MS or PhD in Electrical Engineering, Computer Science/Engineering, Mathematics, Physics, or a related field (or equivalent experience). 3+ years of work-related experience in AI for large language (or multi-modal) models, including model architecture or training strategy design, training optimization, inference acceleration, etc. Proficient in using AI tools or agents to do your work. Clear mind and thoughts in a logical and hierarchical manner. Strong written and oral communications skills in English.
To stand out from the crowd, consider specializing in post-training or reinforcement learning of LLMs, focusing on either algorithm research or efficiency optimization. Demonstrated experience optimizing workloads with GPU technology and experience with NVIDIA AI software and platform are also highly valued.