Solutions Architect - Higher Education & Research

Position Overview

NVIDIA is seeking outstanding Solutions Architects to support the Higher Education and Research Team and the NVIDIA AI Technical Community (NVAITC) within the Pittsburgh ecosystem. As a Solutions Architect at NVIDIA, you will collaborate across teams, assisting customers with cutting-edge Accelerated Computing and Deep Learning software and hardware platforms. We are looking for talented individuals to join us at the forefront of technological advancement. This role offers the opportunity to become a trusted technical advisor, working on exciting projects focused on High-Performance Computing (HPC) and Artificial Intelligence (AI), including Simulation and Robotics AI, with scientific researchers and developers at Universities and Research Institutions. This is an excellent opportunity to work in an interdisciplinary team and shape the rapidly growing fields of Generative AI and Physical AI.

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 solutions architects, engineering, product, and business teams to understand their strategies, workflows, and technical needs.
• Dynamically engaging with developers, scientific researchers, and data scientists to define solutions for Robotics, Physical AI, and Generative AI.
• Analyzing performance and optimizing the development of AI and foundation models.
• Some travel is required for this role; you will be empowered to find the best way to support and ensure customer success.

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.

Employment Type

• Full time

Salary

• The base salary range is $148,000 USD - $235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• You will also be eligible for equity and benefits.

Location Type

• Information not specified in the provided text.

Application Instructions

• NVIDIA accepts applications on an ongoing basis.

Company Information

NVIDIA is committed to fostering a diverse work environment and is 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.