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Remote Scientific Computing Jobs (NOW HIRING)

YO AI Labs

GPU Programming Expert - Remote

Houston, TX · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

Boston, MA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

Miami, FL · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

Phoenix, AZ · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

Seattle, WA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

Austin, TX · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

Apex Informatics

Lead Cloud Architect

$56.50 - $77.50/hr

Title: Lead Cloud Architect Remote role * 10+ years of experience in scientific computing processing 20+ TB of data in a cloud environment * Programming languages: * Python * R * Matlab * Fortran

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Remote Scientific Computing information

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How much do remote scientific computing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote scientific computing in the United States is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.14 per hour, depending on experience, location, and employer.

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

Is remote scientific computing in demand?

Remote scientific computing is in high demand due to the increasing reliance on data analysis, modeling, and simulation across industries such as healthcare, energy, and technology. Professionals with skills in programming, data management, and familiarity with tools like Python, R, or MATLAB are sought after, especially in organizations supporting distributed teams and cloud-based environments.
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Remote Scientific Computing jobs near you
Infographic showing various Remote Scientific Computing job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.

GPU Programming Expert - Remote

Houston, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $85/hr

Full-time

Posted 20 days ago

Job description

GPU Programming Expert - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities

  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications

  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan