Solution Architect, Worldwide Field Operations - New College Grad 2025

Details

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

As a new college graduate with a technical degree, our rotation program will team you up with experienced Solution Architects for on-the-job training as you work as part of an NVIDIA account team supporting customers building solutions with our newest software and hardware platforms. A Solutions Architect is the first line of technical expertise between NVIDIA and our partners and customers. You will dynamically engage with developers, scientific researchers, data scientists, IT managers and senior leaders.

Spend 18 months rotating quarterly through customer-facing teams supporting different industries such as hyperscale cloud service providers, retail, healthcare, automotive, robotics and data center. In the process, you will have the opportunity to become a specialist in our enterprise products as well as our developer software platforms such as NVIDIA AI Enterprise, CUDA-X and Omniverse. You may also be able to rotate with our industry business development, product management, or engineering teams. And at the end of 18 months, after becoming a domain specialist on at least 1 cloud managed service and NVIDIA technology, you will join a team as a Solution Architect in an area of your choosing.

Responsibilities

• Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using NVIDIA technologies.
• Partner with Sales Account Managers or Developer Relations Managers to secure design wins, assist in technical conversations and support the product through customer proof-of-concept evaluations.
• Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues.
• Work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during quarterly rotation assignments.
• You will raise and provide timely advance warning of critical customer issues that require additional attention.
• Present platform solutions to customers, partners, community, etc.
• Some rotation assignments might require up to 15% travel.

Requirements

• Currently pursuing a Bachelors or Masters degree in Computer Science, Math, Physics or related technical field or equivalent experience.
• Data Sciences, Deep Learning, or Machine Learning coursework.
• Experience with at least one scripting language (i.e. Python).
• Programming skills in 1 or more high-level languages (C, C++, Java, etc).
• Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills.
• Strong verbal and written communication skills, including presentation skills to engage any audience.
• Strong collaboration and interpersonal skills.
• Passion for continuous learning and knowledge transfer.
• Enjoy working in a constantly evolving environment without losing focus.

Ways to stand out from the crowd:

• Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing or other GPU related technologies.
• Experience using TensorFlow, PyTorch or other DL framework.
• Experience working with Docker containers and Kubernetes.
• CUDA programming experience as well as experience working with both on-prem and cloud-based infrastructure.
• System-level experience with both hardware and software as well as large scale systems management experience.
• Exposure to cloud service platforms such as AWS, Azure, or GCP through coursework or through certification programs.