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Remote Optimization Engineer Jobs in Seattle, WA

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 ...

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 ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

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 ...

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 ...

CUDA Developer - Remote

Seattle, WA · Remote

$60 - $100/hr

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 ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

New

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Remote Optimization Engineer information

See Seattle, WA salary details

$46

$67

$93

How much do remote optimization engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote optimization engineer in Seattle, WA is $67.88, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $83.70 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Optimization Engineer jobs in Seattle, WA?

The most popular types of Optimization Engineer jobs in Seattle, WA are:

Infographic showing various Remote Optimization Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $141,191 per year, or $67.9 per hour.

CUDA Software Engineer - Remote

YO AI Labs

Seattle, WA • Remote

$60 - $100/hr

Full-time

Posted 9 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.