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Solutions Architect Intern, Gen AI Manufacturing - Fall 2024

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24d ago

🚀 Off-cycle Internship

Santa Clara

💻 Remote

AI generated summary

  • You need a technical MS or PhD, AI application expertise in aerospace/agriculture/OEM, programming skills, Linux knowledge, communication ability, and a passion for learning new tech to excel as a Solutions Architect Intern at NVIDIA.
  • You will use Gen AI to develop domain-specific solutions, coordinate experiments with GPU deep learning, assist in customer proof-of-concept evaluations, resolve issues promptly, and complete a special project with key NVIDIA technologies.

Off-cycle Internship

Software Engineering, EngineeringSanta Clara


  • 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 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.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • 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


Work type

Full time

Work mode



Santa Clara