NVIDIA 2027 Internships: Deep Learning Computer Architecture

NVIDIA
Santa Clara
InternshipUSD 20 - 71 hourlyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Strategic","Ambitious","Hard-working","Creative","Passionate"]

Join the Deep Learning Computer Architecture team for a 12-week full-time internship where you’ll work on projects with measurable impact on NVIDIA’s AI and accelerated computing efforts. You’ll support performance modeling, profiling, optimization, and analysis, and may use programming and GPU-acceleration technologies such as CUDA and deep learning frameworks. This role is for students pursuing a B.S., M.S., or Ph.D. in relevant fields.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Deep Learning Computer Architecture

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Last checked: 1 hour agoStatus: Live

Job Summary

Join the Deep Learning Computer Architecture team for a 12-week full-time internship where you’ll work on projects with measurable impact on NVIDIA’s AI and accelerated computing efforts. You’ll support performance modeling, profiling, optimization, and analysis, and may use programming and GPU-acceleration technologies such as CUDA and deep learning frameworks. This role is for students pursuing a B.S., M.S., or Ph.D. in relevant fields.
Location: Santa Clara
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Work on 12-week full-time internship projects with measurable impact on NVIDIA’s business.
  • •Contribute to projects within the Deep Learning Computer Architecture team.
  • •Apply performance modeling, profiling, optimizing, and/or analysis techniques to project work.
  • •Use relevant programming skills and technologies depending on internship role, including GPU computing and deep learning frameworks.
  • •Collaborate with team members and recruiters through ongoing resume review for internship opportunities.

Pay and Benefits

Salary: USD 20 - 71 hourly

Key Requirements

  • •Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field for the full internship duration.
  • •Provide an anticipated graduation date (month and year) on your resume or CV.
  • •Experience or interest in focus areas such as GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems.
  • •Experience in modelling/performance analysis, parallel processing, neural network architectures, GPU acceleration, and/or deep learning neural networks.
  • •Prior experience or knowledge may include programming skills such as C, C++, Perl, CUDA, and GPU/deep learning frameworks (e.g., PyTorch, TensorFlow, Caffe).
Experience:AIDeep learningGPU computingHPC
Education:Bachelor's in Electrical Engineering, Computer Engineering, or a related field
Skills:StrategicAmbitiousHard-workingCreativePassionate
Tech Stack:CC++PerlCUDAOpenCLOpenACCPyTorchTensorFlowCaffeMPIOpenMP

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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