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.
You will be supporting our manufacturing industry customers in their journey to optimize code for the GPU. In the process you will become familiar with our Nvidia Enterprise data center products for AI and HPC including the DGX and DGC Cloud for AI and GenAI, our ProViz line of professional visualization solutions, and our Tegra embedded solutions for intelligent video analytics and IoT. At the end of your internship, after being exposed to a broad scope of our technologies, you will have insight into a role as a regular solution architect at NVIDIA.
What you’ll be doing:
Use Gen AI to develop domain specific Deep Learning, Machine Learning solutions
Coordinate the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using GPU deep learning and other NVIDIA technologies
Work closely with the NVIDIA Solution Architect and customer account team to secure design wins through customer proof-of-concept evaluations
Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction
Work to complete a special project involving key NVIDIA technologies
What we need to see:
Currently pursing a MS or PhD in Electrical Engineering, Computer Science, Math, Physics or a related technical field
Academic specialization into the application of AI into aerospace, agriculture, or OEM manufacturing.
Computer science and data science coursework
Programming skills in 1 or more high level languages (Python, C, C++, etc.)
Linux command line and system administration skills are helpful
Excellent communication skills and ability to work both independently and with a team.
Ways to stand out from the crowd:
A computer architecture and software foundation with some GPU-based visual or compute experience
Comfortable working in a fast-paced environment with changing requirements.
Experience with GPU deep learning and data sciences
Ability to quickly learn new technologies.
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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