1

Webgpu Jobs in Georgia (NOW HIRING)

Develop shader logic using GLSL and WebGPU . * Document optimization processes, findings, and performance improvements. * Contribute to GPU architecture and performance discussions. * Collaborate ...

GPU Programmer - Remote

Atlanta, GA ยท Remote

$60 - $85/hr

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 ...

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 ...

Develop shader logic using GLSL and WebGPU . * Document optimization processes, findings, and performance improvements. * Contribute to GPU architecture and performance discussions. * Collaborate ...

CUDA Developer - Remote

Atlanta, GA ยท Remote

$60 - $100/hr

Develop shader logic using GLSL and WebGPU . * Document optimization processes, findings, and performance improvements. * Contribute to GPU architecture and performance discussions. * Collaborate ...

Firefly Foundry, Creative Architect

Atlanta, GA ยท On-site

$194K/yr

Familiarity with WASM, WebGPU, or canvas rendering a bonus. Analytical and strategic problem solver with strong executive presence and the communication skills to make complex technical ideas land in ...

Webgpu information

What is WebGPU?

WebGPU is a modern web graphics API that allows web developers to access the power of a computer's GPU (Graphics Processing Unit) directly through the browser. It is designed to provide high-performance graphics and computation capabilities, enabling advanced rendering and machine learning tasks on the web. WebGPU is intended as a successor to WebGL, offering more direct control over GPU resources and better performance. It is currently being implemented in major browsers and is expected to become a standard for web-based graphics and computation.

What are the key skills and qualifications needed to thrive as a WebGPU developer?

To thrive as a WebGPU Developer, you need a solid background in computer graphics, JavaScript/TypeScript, and GPU programming concepts, often backed by a degree in computer science or a related field. Familiarity with WebGPU APIs, shader languages like WGSL or GLSL, and development tools such as browser devtools or graphics debuggers is essential. Strong problem-solving, attention to detail, and effective communication skills help developers optimize performance and collaborate with team members. These competencies are crucial for building efficient, visually rich web applications that leverage modern graphics hardware.

What are some common challenges faced by developers working with WebGPU, and how can these be addressed?

Developers working with WebGPU often encounter challenges such as limited browser support, evolving specifications, and a steep learning curve due to its low-level API nature. Overcoming these challenges involves staying updated with the latest WebGPU developments, actively participating in community forums, and leveraging official documentation and sample projects. Collaborating closely with other frontend and graphics engineers is also crucial, as sharing knowledge and troubleshooting together can accelerate problem-solving and skill growth.

What is the difference between Webgpu vs WebGL Developer?

AspectWebgpuWebGL Developer
Required credentialsKnowledge of graphics APIs, programming skills in JavaScript/TypeScriptSimilar credentials, often with additional graphics or computer science background
Work environmentWeb development, graphics programming, browser-based applicationsWeb development, interactive graphics, browser-based projects
Industry usageEmerging technology for high-performance graphics in browsersEstablished technology for 3D graphics in web applications
Common search intentUnderstanding new graphics API differences, learning WebgpuWebGL programming, troubleshooting, tutorials

Webgpu is a newer graphics API designed for high-performance rendering in browsers, offering more direct hardware access than WebGL. WebGL developers often transition to Webgpu as it provides better efficiency and capabilities, but WebGL remains widely used for existing projects. Both roles require similar skills in web graphics programming, but Webgpu specialists focus on cutting-edge browser graphics technology.

Infographic showing various Webgpu job openings in Georgia as of September 2026, with employment types broken down into 4% Internship, and 96% Full Time. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

CUDA Software Engineer - Remote

Atlanta, GA โ€ข Remote

$60 - $100/hr

Full-time

Posted 25 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.