Solutions Architecture Intern

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $166k
$100k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $113,075–$219,650.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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At a glance

TL;DR · Solutions Architecture Intern

Solutions Architecture Intern - Summer 2027 As a Solutions Architecture Intern, you will join a team of experienced architects to help partners and customers succeed with new technologies across the full stack. You will collaborate with engineering and product teams to understand technical requirements and develop proof of concept projects involving infrastructure, robotics, agentic AI, machine learning, and more. The role involves building agentic solutions for operations, optimizing inference platforms on custom hardware, troubleshooting network performance using InfiniBand or RoCE fabrics, and developing sensor processing pipelines for digital twins. Required skills include proficiency in programming languages like Python, C, or C++, along with expertise in Linux system administration, networking protocols, and data science. You will work on complex problems involving GPU clusters, CUDA, PyTorch, JAX, and Docker/Kubernetes to solve challenges in AI factory deployment and robotics motion planning.

What you'll do

  • Identify and analyze the technical needs of partners and customers to provide tailored solutions.
  • Develop proof of concept projects using various NVIDIA technologies and software libraries.
  • Troubleshoot network performance issues and perform packet-level debugging for RDMA workloads.
  • Automate infrastructure workflows, including cluster monitoring, telemetry, and health-checking processes.
  • Optimize AI models for training, fine-tuning, and inference across diverse modalities like vision and language.
  • Build and optimize large-scale data pipelines for robotics foundation model training and synthetic data generation.
  • Create reference architectures, benchmarks, and sizing guides to support internal teams and customers.
  • Develop software designs that link high-performance sensors to digital twins in Omniverse.

What we're looking for

  • Pursuing a BS, MS, or PhD in Computer Architecture, Networking, Engineering, Math, Physics, Data Science, or a related technical field.
  • Proficiency in one or more programming languages such as Python, C, or C++.
  • Strong communication, presentation, and teamwork skills.
  • Ability to work independently and within cross-functional teams in fast-paced environments.
  • Strong analytical and problem-solving skills.
  • Experience with NVIDIA GPUs, software libraries, or CUDA (preferred).
  • Background in Linux system administration, networking concepts, or hardware experience at the server/rack level (preferred).
  • Knowledge of AI frameworks, machine learning, robotics tools, or data center infrastructure (preferred).

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