Deep Learning Algorithm Engineering Intern - 2026

NVIDIA
Zurich
Full timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Documentation","Interpersonal skills","Independence"]

Join NVIDIA’s Deep Learning algorithms team to research and implement state-of-the-art algorithms and deep learning frameworks. You’ll analyze and document frontier-model capabilities, design and optimize model performance for training and inference on GPUs, benchmark software stacks, and evaluate functionality coverage. Work closely with internal partners and the open-source community to define APIs and build highly optimized algorithms and DL frameworks.

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NVIDIA
NVIDIA
1 day ago

Deep Learning Algorithm Engineering Intern - 2026

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Last checked: 15 hours agoStatus: Live

Job Summary

Join NVIDIA’s Deep Learning algorithms team to research and implement state-of-the-art algorithms and deep learning frameworks. You’ll analyze and document frontier-model capabilities, design and optimize model performance for training and inference on GPUs, benchmark software stacks, and evaluate functionality coverage. Work closely with internal partners and the open-source community to define APIs and build highly optimized algorithms and DL frameworks.
Location: Zurich
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Research, analyze, and document state-of-the-art algorithms
  • •Design and implement a deep learning framework for model optimization
  • •Develop algorithms for deep learning, data analytics, machine learning, or scientific computing
  • •Analyze and benchmark performance of GPU implementations across training and inference scenarios
  • •Collaborate with internal partners and open-source community members to analyze needs, define and implement optimized algorithms and DL frameworks

Key Requirements

  • •Pursuing an MSc or PhD in Computer Science, Artificial Intelligence, Applied Math, or a related field
  • •Excellent programming in Python, with skills in debugging, performance analysis, and test design
  • •Strong algorithms and mathematical fundamentals, plus a good understanding of deep learning fundamentals
  • •Ability to work independently and manage your own development effort
  • •Good communication and documentation habits
Experience:Deep learningMachine learningOpen source
Education:Master's in Computer Science, Artificial Intelligence, Applied Math
Skills:CommunicationDocumentationInterpersonal skillsIndependence
Tech Stack:PythonPyTorchDeep learningMachine learningLarge language modelsAPIsGPUCPUModel compressionPruningNASDistillationQuantizationTrainingInference

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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