Solutions Architecture Intern - Summer 2027

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 20 - 71 hourlyFunction: Architecture & Urban PlanningSkills: ["Presentation","Communication","Teamwork","Independent work","Cross-functional collaboration","Multi-tasking","Analytical thinking","Problem-solving","Curiosity"]

Work with experienced Solution Architects and engineering/product teams to understand customer and partner technical needs. Develop proof-of-concept projects using NVIDIA technologies across areas like AI infrastructure, robotics, agentic AI, machine learning, and inference workloads. Help with end-to-end architecture understanding for AI factories and cloud environments, and contribute to automation, monitoring, and performance/reliability improvements using modern tooling and frameworks.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Solutions Architecture Intern - Summer 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Work with experienced Solution Architects and engineering/product teams to understand customer and partner technical needs. Develop proof-of-concept projects using NVIDIA technologies across areas like AI infrastructure, robotics, agentic AI, machine learning, and inference workloads. Help with end-to-end architecture understanding for AI factories and cloud environments, and contribute to automation, monitoring, and performance/reliability improvements using modern tooling and frameworks.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning
Seniority: Intern level

Key Responsibilities

  • •Collaborate with solution architects, engineering, or product teams.
  • •Understand technical needs of partners and customers.
  • •Develop proof of concept projects using NVIDIA technologies.
  • •Contribute to AI factory deployment and/or cloud/operations architecture work (e.g., monitoring/telemetry, automation, bring-up/health-check).
  • •Support troubleshooting and performance/reliability improvements across networking, infrastructure, and inference-serving workloads.

Pay and Benefits

Salary: USD 20 - 71 hourly

Key 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.
  • •Curiosity about AI infrastructure and the modern AI stack (e.g., LLMs, inference serving, agentic or retrieval workloads).
Experience:AI infrastructureRoboticsMachine learningData centerCloud computingEngineering/research community
Education:
Skills:PresentationCommunicationTeamworkIndependent workCross-functional collaborationMulti-taskingAnalytical thinkingProblem-solvingCuriosity
Tech Stack:PythonCC++LinuxSlurmDockerKubernetesCUDAPyTorchJAXInfiniBandRoCERDMAL2-L7 networkingPacket-level debuggingRDMA workloadsDocker/KubernetesROSIsaac SimOmniverse

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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