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Remote Software Contractor Jobs in Illinois (NOW HIRING)

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 ...

DevOps Expert - Remote

Chicago, IL · Remote

$30 - $80/hr

Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, ...

Contractor (Part Time) Location: Remote (US Only) Job Overview We are seeking experienced CPAs and ... Which professional tax software do you use? * How soon can you start?

Field Support Technician

Chicago, IL · On-site +1

$20.25 - $27.75/hr

Provide training on software, hardware, and systems to Clayco Team Members * Preventative ... First line of troubleshooting for remote networks * Adaptive and willing to learn business ...

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Remote Software Contractor information

How much do remote software contractors make?

Remote software contractors typically earn between $30 and $150 per hour, depending on experience, skills, and project complexity. Annual income can range from $60,000 to over $150,000 for experienced professionals working on specialized projects or with high-demand skills like cloud computing or cybersecurity.

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For Remote Software Contractor jobs in Illinois, the most frequently searched job titles are:

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Cities in Illinois with the most Remote Software Contractor job openings:

CUDA Engineering Expert - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $100/hr

Full-time

Posted 15 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.