NVIDIA 2027 Internships: Software Engineering

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 20 - 71 hourlyFunction: Software EngineeringSkills: ["Strategic","Ambitious","Hard-working","Creative","Customer-focused"]

Work on impactful 12-week, full-time software engineering projects across NVIDIA’s teams, supporting areas like development tools, cloud/storage infrastructure, tools infrastructure for chip content, and machine learning operations. You’ll collaborate with experts to debug complex systems, automate and troubleshoot storage and data platforms, and build back-end analytics and deep learning validation infrastructure. Ideal candidates are actively enrolled in a relevant BS, MS, or PhD program.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Software Engineering

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Last checked: 1 hour agoStatus: Live

Job Summary

Work on impactful 12-week, full-time software engineering projects across NVIDIA’s teams, supporting areas like development tools, cloud/storage infrastructure, tools infrastructure for chip content, and machine learning operations. You’ll collaborate with experts to debug complex systems, automate and troubleshoot storage and data platforms, and build back-end analytics and deep learning validation infrastructure. Ideal candidates are actively enrolled in a relevant BS, MS, or PhD program.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Complete a 12-week full-time internship and work on projects with measurable impact on the business.
  • •Debug complex system-level issues and support development tools using industry-standard tooling.
  • •Support and/or troubleshoot cloud storage infrastructure, automating storage infrastructure end-to-end.
  • •Build and enable production workflows across tools infrastructure, including application tracing, diagnostics, performance tuning, and debugging.
  • •Develop machine learning operations and related infrastructure such as deep learning validation frameworks, training acceleration, and back-end analytics.

Pay and Benefits

Salary: USD 20 - 71 hourly

Key Requirements

  • •Be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree for the full duration of the internship.
  • •Have an anticipated graduation date (month and year) clearly indicated on your resume or CV to be considered.
  • •Depending on the internship role, have prior experience or knowledge in programming skills such as Java, JavaScript (Node, React, Vue), SQL, C, C++, CUDA, Go, Python, or OOP.
  • •Depending on the role, have experience with tools/infra such as Git, Perforce, Kubernetes and microservices, and schedulers (LSF, SLURM).
  • •Depending on the role, have experience with containers and automation such as Docker and Ansible, and may include debugging or system-level topics (e.g., operating systems, distributed systems).
Experience:AIMachine learningCloudAccelerated computing
Education:
Skills:StrategicAmbitiousHard-workingCreativeCustomer-focused
Tech Stack:JenkinsRelational DatabasesLinear AlgebraNumerical MethodsOperating SystemsMemory/resource managementSchedulingProcess ControlHardware VirtualizationCloud storage infrastructureDistributed SystemsData Structures & AlgorithmsVirtualizationAutomation/ScriptingContainer & Cluster ManagementDebuggingUnix/Shell ScriptingLinuxJavaJavaScript

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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