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Remote Research Computing Jobs in Mesa, AZ (NOW HIRING)

YO AI Labs

CUDA Engineering Expert - Remote

Phoenix, AZ · 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 ...

New

YO AI Labs

CUDA Software Engineer - Remote

Phoenix, AZ · 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 ...

Posted today

Husch Blackwell LLP

Patent Agent

Phoenix, AZ · Remote

$100K - $170K/yr

Strong analytical and research skills with attention to detail. * Excellent written and verbal ... Artificial Intelligence or Quantum Computing experience a plus. The above is intended to describe ...

Husch Blackwell Llp

Patent Agent

Phoenix, AZ · Remote

$100K - $170K/yr

Strong analytical and research skills with attention to detail. * Excellent written and verbal ... Artificial Intelligence or Quantum Computing experience a plus. The above is intended to describe ...

The State of Arizona

SERVICE DESK ANALYST

Phoenix, AZ · On-site +1

$25/hr

All work, including remote work, should be performed within Arizona unless an exception is properly ... Research and interpret a wide variety of technical manuals and publications * Manage time while ...

Posted today

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How much do remote research computing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote research computing in Mesa, AZ is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $23.61 per hour, depending on experience, location, and employer.

What is remote research computing?

Remote research computing refers to the use of computing resources, such as high-performance computers or cloud-based systems, that can be accessed from anywhere via the internet. This enables researchers to perform complex data analysis, simulations, or computational experiments without being physically present at the location of the hardware. It is especially useful for collaborative projects, large datasets, and situations where local computing power is insufficient. Researchers use secure connections and specialized software to interact with these remote resources efficiently.

What are some common challenges faced by professionals working in remote research computing, and how can they be addressed?

Professionals in Remote Research Computing often encounter challenges such as ensuring secure and efficient data transfer, collaborating with geographically dispersed teams, and troubleshooting computational issues without in-person support. To address these challenges, it's important to become proficient with remote collaboration tools, maintain clear communication with team members, and stay updated on best practices for data security and cloud resource management. Many organizations also provide virtual onboarding and regular training sessions to help remote research computing staff adapt to evolving technologies and workflows.

What are the key skills and qualifications needed to thrive in remote research computing, and why are they important?

To excel in Remote Research Computing, you need a strong background in computer science, data analysis, and scientific research methods, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, cloud platforms, programming languages (such as Python or R), and experience with collaborative tools are typically required. Excellent problem-solving, communication, and self-management skills help professionals work effectively across virtual teams and complex projects. These skills and qualities are vital to ensure efficient research workflows, accurate data handling, and successful collaboration in a remote, technology-driven environment.

What are popular job titles related to Remote Research Computing jobs in Mesa, AZ?

For Remote Research Computing jobs in Mesa, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Research Computing jobs in Mesa, AZ look for?

The top searched job categories for Remote Research Computing jobs in Mesa, AZ are:

What cities near Mesa, AZ are hiring for Remote Research Computing jobs?

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Remote Research Computing jobs near you

CUDA Engineering Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$60 - $100/hr

Full-time

Posted yesterday

New

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.