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Intern Cuda Developer Jobs (NOW HIRING)

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Codeworks, an LRS company, is seeking a Software Engineering Intern for an intern opportunity ... such as CUDA and/or OpenCL Familiarity with scripting languages such as Bash or Python Strong ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ... Graphics experience (GPU / CUDA) Requirements listed would be obtained through a combination of ...

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Intern Cuda Developer information

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How much do intern cuda developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for intern cuda developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Intern Cuda Developer vs Intern Software Engineer?

AspectIntern Cuda DeveloperIntern Software Engineer
Required SkillsCUDA programming, C/C++, parallel computingGeneral programming, algorithms, software development
Work EnvironmentTech companies, research labs focusing on GPU computingVarious industries including tech, finance, healthcare
CertificationsNone mandatory, but CUDA certifications helpfulNone mandatory, general software certifications beneficial

Intern Cuda Developers focus on GPU programming and parallel computing using CUDA, often in specialized tech or research settings. Intern Software Engineers have broader programming responsibilities across various platforms and industries. While both roles require programming skills, CUDA knowledge is specific to Intern Cuda Developers, making their work more specialized in high-performance computing.

What cities are hiring for Intern Cuda Developer jobs? Cities with the most Intern Cuda Developer job openings:
What are the most commonly searched types of Cuda Developer jobs? The most popular types of Cuda Developer jobs are:
What states have the most Intern Cuda Developer jobs? States with the most job openings for Intern Cuda Developer jobs include:
Infographic showing various Intern Cuda Developer job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 16% Part Time, 1% Temporary, and 12% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
Intern, AI Engineering

Intern, AI Engineering

Workato

San Francisco, CA

Other

Posted 8 days ago


Job description

Workato AI LabAbout Workato AI Lab

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

Responsibilities

We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
We are now filling intern positions for Winter 2026 and Spring 2027. 

Research Areas

  • LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

  • Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

  • High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

In this role, you will also be responsible to:
  • Conduct original research on LLM agent architectures and optimization techniques

  • Develop and evaluate novel algorithms with both academic rigor and production feasibility

  • Present your work at internal research seminars and external conferences

  • Mentor and collaborate with LLM  engineers on implementation and deployment

RequirementsQualifications / Experience / Technical Skills
  • Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields

  • Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)

  • Strong programming skills in Python and PyTorch

  • Ability to work in-person at our San Francisco office

  • Ability to work independently and collaborate across research and engineering teams

Preferred:
  • Experience with self-evolving agent systems

  • Proficiency in CUDA programming and custom kernel development for LLM operations

  • Background in reinforcement learning-based LLM fine-tuning 

  • Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

  • Experience bridging academic research with production systems

  • Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)