NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.NVIDIA is seeking outstanding deep learning Solution Architect Interns to assist and support customers that are building Retrieval Augmented Generation (RAG) pipelines for Large Language Models (LLM). At NVIDIA, our solution architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the most inquisitive people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on RAG and LLMs. This internship is an excellent opportunity to work in an interdisciplinary team with the emerging technologies at NVIDIA!What you’ll be doing:Partnering with other solution architects, engineering and product teams, understanding their technical needs and helping define high-value solutionsDynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areasStrategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platformWorking closely with customers to help them adopt and build solutions using NVIDIA technologyWhat we need to see:Pursuing BS, MS, or PhD in Computer Science, Electrical/Computer Engineering or related fieldsStrong programming and debugging skills, especially in PythonExpertise with Deep Learning frameworks such as PyTorchExcellent knowledge of theory and practice of Large Language ModelsExcellent presentation, communication and collaboration skillsDesire to be involved in multiple diverse and creative projectsWays to stand out from the crowd:Experience with NVIDIA GPUs and software librariesExperience with Deep Learning at scale and C/C++ programmingExperience adapting LLMs to different domains and deploying RAG in productionFamiliarity with parallel programming and distributed computing platformsThe hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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