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Remote Research Computing Jobs in Seattle, WA (NOW HIRING)

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

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

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

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

Computer Vision Engineer

Seattle, WA ยท On-site +1

$160K - $275K/yr

Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ... Experience with cloud computing (e.g., AWS) DURANTA VALUES * API = Assume Positive Intent. Our ...

Senior Account Executive (1419)

Renton, WA ยท Remote

$200K - $240K/yr

This is a full-time remote position however we are searching for someone who is in the Seattle, WA ... Cloud computing and virtualization for dynamic infrastructure and operational efficiency ...

Senior Account Executive (1419)

Renton, WA ยท On-site +1

$200K - $240K/yr

This is a full-time remote position however we are searching for someone who is in the Seattle, WA ... Cloud computing and virtualization for dynamic infrastructure and operational efficiency ...

Remote Research Computing information

See Seattle, WA salary details

$13

$25

$42

How much do remote research computing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote research computing in Seattle, WA is $25.29, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.07 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 Seattle, WA?

For Remote Research Computing jobs in Seattle, WA, the most frequently searched job titles are:

CUDA Engineering Expert - Remote

YO AI Labs

Seattle, WA โ€ข Remote

$60 - $100/hr

Full-time

Posted 3 days ago

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.