NVIDIA 2027 Internships: Deep Learning

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

Work on high-impact deep learning projects during a 12-week full-time internship, collaborating with NVIDIA’s Deep Learning teams. Build and optimize deep learning applications and algorithms for GPU performance, or develop underlying deep learning frameworks and libraries to accelerate models on NVIDIA platforms. Depending on the role, you may contribute to packages like JAX, PyTorch, and TensorFlow, tune performance, and support build/test/distribution infrastructure.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Deep Learning

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Last checked: 1 hour agoStatus: Live

Job Summary

Work on high-impact deep learning projects during a 12-week full-time internship, collaborating with NVIDIA’s Deep Learning teams. Build and optimize deep learning applications and algorithms for GPU performance, or develop underlying deep learning frameworks and libraries to accelerate models on NVIDIA platforms. Depending on the role, you may contribute to packages like JAX, PyTorch, and TensorFlow, tune performance, and support build/test/distribution infrastructure.
Location: Santa Clara
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Develop deep learning applications and algorithms that improve performance of GPU implementations.
  • •Build underlying deep learning frameworks and libraries to accelerate deep learning on GPUs.
  • •Contribute to software packages such as JAX, PyTorch, and TensorFlow, integrating library or CUDA features.
  • •Optimize core deep learning algorithms and libraries (e.g., cuDNN, cuBLAS) for performance.
  • •Maintain build, test, and distribution infrastructure for deep learning frameworks on NVIDIA supported platforms.

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. for the full duration of the internship and include an anticipated graduation date (month and year) on your resume/CV.
  • •Pursue a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
  • •Depending on the role, have knowledge of deep neural networks, linear algebra, numerical methods, and/or computer vision.
  • •Depending on the role, have programming skills such as C, C++, CUDA, and/or Python, along with relevant systems/GPU technologies.
  • •Depending on the role, experience may include working with software design, CPU/GPU architectures, and performance-oriented parallel programming.
Experience:Deep learningGPU computingHigh-performance computing (HPC)
Education:
Skills:StrategicAmbitiousHard-workingCreative
Tech Stack:CC++CUDAPythonX86ARMGPULinuxDirect3DVulkanOpenGLOpenCLSparkPerlBash/Shell ScriptingDockerKubernetesAWSAzureGCP

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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