Nvidia Solutions Architect Higher Education Research 

United States, Texas 

200292051

What You Will Be Doing:

• Supporting the NVAITC in Pittsburgh and universities in the Central US by helping them adopt and build creative solutions using NVIDIA technology, through collaboration with academia, industry, and government

• Partnering with other solution architects, engineering, product and business teams. Understanding their strategies, workflows and technical needs

• Dynamically engaging with developers, scientific researchers, data scientists and helping define solutions for Robotics, Physical AI and Generative AI

• Analyzing performance and optimizing development of AI and foundation models

• Some travel is required for this role, you are empowered to find the best way to support and make our customers successful

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

• 5+ years of hands-on experience in Generative AI, Deep Learning, Robotics and/or Simulation

• Experience with Deep Learning frameworks such as PyTorch and TensorFlow and Reinforcement Learning

• Strong fundamentals in programming, problem-solving and debugging skills, especially in Python and C++

• Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

• Experience working with the academic research community supporting HPC or AI

• Development experience with NVIDIA software libraries and GPUs

• Familiarity with NVIDIA Omniverse, Cosmos, Isaac Sim, or Isaac Lab

• Prior experience with DL training at scale, deploying or optimizing in production