Solution Architect Intern, Summer 2025

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! 

NVIDIA Solution Architects are the first line of technical expertise connecting NVIDIA to partners and customers, demonstrating how NVIDIA technologies can help customers realize goals and overcome obstacles. Solutions Architect Interns team up with experienced Solution Architects working with our newest software and hardware platforms. Internships can involve robotics, machine learning, computer vision, AI model training, AI inference applications, and more. You might have the opportunity to build AI blueprints using the latest foundation models and NVIDIA development tools, bring Omniverse scenarios to life, or focus on optimizing the performance and reliability of data center networks.

What you’ll be doing:

• Collaborating with other solution architects, engineering or product teams, and understanding technical needs

• Developing proof of concept projects with NVIDIA technologies that have recently become generally available

• Teaming up with experienced Solutions Architects to help customers and industry-specific solution partners adopt and build solutions using NVIDIA technology

What we need to see:

• Pursuing BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Math, Physics, Data Science, or related technical fields

• Strong programming skills in one or more high level languages (Python, C, C++, etc.)

• Excellent presentation, communication and teamwork skills

• Proficiency in working independently as well as with a multi-functional team

• Comfortable multi-tasking in a fast-paced environment with changing requirements

• Strong analytical and problem-solving skills

• Successful candidates will be able to demonstrate a strong desire to share knowledge

Ways to stand out from the crowd:

• Experience with NVIDIA GPUs and software libraries, working with engineering or research community

• A computer architecture, software engineering, or data science foundation

• Academic or industry familiarity with GPUs, AI, CUDA, or related technologies

• Ability and eagerness to dig into unfamiliar territories to tackle problems relying on experience from previous work

• Experience with modern deep learning software architectures including TensorFlow, PyTorch, JAX, or other frameworks

This posting represents multiple Solutions Architect Internships in Santa Clara, CA. Some examples are listed below. Apply to this job posting if any suit your background and career aspirations.

Generative AI Internship

Work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models! This internship is an excellent opportunity to work in an interdisciplinary team with the new technologies and software libraries at NVIDIA such as NeMo Framework, NeMo Microservices and NVIDIA NIM. Bring your knowledge of theory and practice of Generative AI, Large Language Models, Deep Learning at scale, and a familiarity with parallel programming and distributed computing platforms to make the most of this internship.

Data Center and Hybrid Cloud Infrastructure Internship

Bring new Artificial Intelligence (AI) technologies to use in the field as a Solutions Architect Intern working on the Data Center and Hybrid Cloud Infrastructure teams. Your work will encompass the entire data center architecture, as you will touch hardware, operating systems and application software. You will help design data centers for hyper scale consumption of AI solutions. You will use cloud native tooling such as Kubernetes, Terraform and Helm to deploy and optimize accelerated computing workloads on various hybrid cloud platforms such as AWS, Azure, GCP, OCI and others.

Cloud and Data Center Advanced Networking Internship

If you are enthusiastic about accelerating computing (CPU, GPU) and networking (Switch, DPU) technologies and how it can be applied to the real world, this may be the internship for you. Apply if you've had hands-on experience