Solutions Architecture Intern - Summer 2027

NVIDIA • Us, CA

2d • Onsite

About The Position

NVIDIA Solution Architects show partners and customers how to be successful with new NVIDIA technologies. In this role, you will team up with experienced Solution Architects working across our full stack. Internships can involve infrastructure, robotics, agentic AI, machine learning and more. What you’ll be doing: Collaborating with solution architects, engineering or product teams Understanding technical needs of partners and customers Developing proof of concept projects with NVIDIA technologies

Requirements

• Pursuing a BS, MS, or PhD in Computer Architecture, Computer Networking, Computer/Electrical Engineering (ECE/ECS), Computer Science, Math, Physics, Data Science, or a related technical field.
• Strong skills in one or more programming languages (Python, C, C++, etc.)
• Excellent presentation, communication and teamwork skills
• Ability to work independently and with a cross-functional team
• Comfortable multi-tasking in a fast-paced environment with changing requirements
• Curiosity about AI infrastructure and the modern AI stack (e.g., LLMs, inference serving, agentic or retrieval workloads) is a plus
• Strong analytical and problem-solving skills

Nice To Haves

• Experience with NVIDIA GPUs and software libraries
• Work experience within an engineering or research community
• A computer architecture, networking, data science, or ML foundation with Linux skills
• System administration or hands-on hardware experience at the server/rack level, and/or workload orchestration
• 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
• Data center infrastructure experience, from hardware up through workloads running on NVIDIA AI Factories
• Familiarity with Linux system administration, Python, and networking concepts.
• Working knowledge of Slurm and data sciences is a plus.
• Helpful backgrounds include network engineering and design, server-level infrastructure/systems work, and operations tooling with a focus on automation.
• Experience with data center architectures and the L2-L7 networking protocol stack.
• Experience working with both on-prem and cloud-based infrastructure is a plus, as is system-level experience with both hardware and software.
• Understanding of how GPUs are clustered, leaf-spine topologies, and concepts like RDMA and RoCE will come in handy.
• An understanding of GPU server architecture, containerized (Docker/Kubernetes) and Slurm-based workload orchestration, and modern inference-serving and agentic/LLM frameworks is a plus.
• Some projects lean toward AI software: model optimization, building performance and reliability “health-check” recipes, and working hands-on alongside senior SAs on real customer workloads.
• Familiarity with CUDA, PyTorch or JAX, and modern inference or agentic frameworks is a plus.
• Familiarity with robotics tools like the Robotics Operating System (ROS) and simulation frameworks like Isaac Sim, along with vision language models, is a plus.
• Experience training or working with VLA models, robotics competitions or labs, and hands-on pipeline optimization stands out.

Responsibilities

• Collaborating with solution architects, engineering or product teams
• Understanding technical needs of partners and customers
• Developing proof of concept projects with NVIDIA technologies

Benefits

• Intern benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Intern