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Internship High Performance Computing Jobs in Chicago, IL

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

CUDA Developer - Remote

Chicago, IL · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

This is an opportunity to work on complex problems around networking, high performance computing ... Previous internship experience in hardware or low-level software engineering * Experience with C, C ...

This is an opportunity to work on complex problems around networking, high performance computing ... Previous internship experience in hardware or low-level software engineering * Experience with C, C ...

This is an opportunity to work on complex problems around networking, high performance computing ... Previous internship experience in hardware or low-level software engineering * Experience with C, C ...

This is an opportunity to work on complex problems around networking, high performance computing ... Previous internship experience in hardware or low-level software engineering * Experience with C, C ...

We design and execute highly coordinated deployments, integrating hundreds of thousands of fiber optic connections to build clusters that advance the limits of AI and high-performance computing.

Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'll collaborate with leading scientists, engineers ...

Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'll collaborate with leading scientists, engineers ...

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship * Meaningful projects: Each ...

Showing results 21-40

Internship High Performance Computing information

See Chicago, IL salary details

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How much do internship high performance computing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship high performance computing in Chicago, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What are the most commonly searched types of High Performance Computing jobs in Chicago, IL?

The most popular types of High Performance Computing jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Internship High Performance Computing jobs?

Cities near Chicago, IL with the most Internship High Performance Computing job openings:

CUDA Software Engineer - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $100/hr

Full-time

Posted 16 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.