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CUDA Software Engineer - Remote

Analyze and optimize GPU kernels using CUDA and profiling tools

Analyze, profile, and optimize GPU kernels using CUDA and profiling tools to identify performance bottlenecks and develop targeted optimization strategies. Refactor C++ and CUDA code for efficiency and maintainability while developing shader logic using GLSL and WebGPU. Document optimization processes, findings, and performance improvements for cross-functional collaboration.

Why This Role?

Contribute to GPU architecture and performance discussions on a cutting-edge GPU optimization project

Key Responsibilities

  • Analyze and profile GPU kernels using CUDA and NVIDIA Nsight tools
  • Identify performance bottlenecks and develop optimization strategies
  • Refactor C++ and CUDA code for improved efficiency and maintainability
  • Develop shader logic using GLSL and WebGPU
  • Document optimization processes and performance improvements
  • Collaborate with remote cross-functional teams on GPU performance discussions

Requirements

  • 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
  • Strong understanding of GPU performance and architecture
  • Excellent analytical and problem-solving skills

Required Skills

cudac++gpuglslwebgpuGPU optimizationNsight
View Original Description from Jobg8 (United States)

Original description from Jobg8 (United States)

New York City, New York (United States) Job Description Job DescriptionCUDA 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.

Salary Context

Similar Engineering roles on LokerDollar pay around $170k/yr (range $855–1000k/yr, n=868 active listings).

Hiring at YO AI Labs

YO AI Labs has 5 other active roles on LokerDollar and has been hiring here since Aug 26, 2026 — across Engineering, Operations.

View all YO AI Labs openings →

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Company
YO AI Labs
Job Type
full time
Location
Remote · United States
Category
Seniority
senior
PostedNewNew & verified
Sep 12, 2026

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Frequently asked questions

Is CUDA Software Engineer - Remote at YO AI Labs a remote job?
Yes, this is a regional remote role (Remote). Check the listing for location requirements.
What type of employment is CUDA Software Engineer - Remote at YO AI Labs?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at YO AI Labs.

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