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Webgpu Developer Jobs in Washington (NOW HIRING)

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Develop shader logic using GLSL and WebGPU . * Document optimization processes, findings, and ...

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

Sr. Software Engineer, TS/SCI w/poly

Laurel, MD · On-site

$122K - $160K/yr

... WebGPU) visualizations based on use case and performance needs. Write clean, scalable code using JavaScript and/or TypeScript within frameworks such as React, Solid, or jQuery. • Structure and ...

Develop DOM-based (e.g., D3, SVG) and rendering-based (e.g., Canvas, WebGL, WebGPU) visualizations ... Partner closely with data scientists, engineers, and product managers to translate complex data ...

Develop DOM-based (e.g., D3, SVG) and rendering-based (e.g., Canvas, WebGL, WebGPU) visualizations ... Partner closely with data scientists, engineers, and product managers to translate complex data ...

Develop DOM-based (e.g., D3, SVG) and rendering-based (e.g., Canvas, WebGL, WebGPU) visualizations ... Partner closely with data scientists, engineers, and product managers to translate complex data ...

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Infographic showing various Webgpu Developer job openings in Washington as of August 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

CUDA Developer - Remote

YO AI Labs

Washington, DC • 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.