Solution Architect Intern

We are looking for a Solutions Architect Intern with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. In particular we are looking for a candidate with understanding of modern Natural Language Processing (NLP) and 3D simulation. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinks about artificial intelligence, someone who can maintain synergy in a fast-paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.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 in order to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.What you’ll be doing:Keeping track of the latest developments in NVIDIA technology and building demos for regional colleagues outreach activities.Assist the team in engaging AI community and collaborators through AI/ML workshop.Work directly with key customers to understand their technology and provide the best solutionsPerform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.Develop demonstration using NVIDIA SDKs e.g., LLMs, Merlin, NeMo, TensorRT, Omniverse, Triton Inference Server, etcAlgorithmic development and experimentation on machine learning projectBuild industry expertise and become a contributor to integrating NVIDIA technology into Enterprise Computing architectures.Work closely with customer's data science and IT teamsWhat we need to see:BS, MS, or PhD student in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.Understanding of how to apply deep learning or machine learning to different applicationMust enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain.Excellent oral and written communication skills in English.Experience with modern Deep Learning software architecture and frameworks.Experience with 3D creation tools such as Unreal Engine, Blender, etc.Familiar with Linux OS environmentPython Programming