Remote CUDA Kernel Optimization Engineer

YO IT Consulting; California; Remote; USD 120,000 - 180,000; Full time

Job summary

YO IT Consulting is seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No Prior AI Experience Is Required.

Location: Remote. Job Type: Contractor.

Qualifications

• Must have strong CUDA programming and GPU kernel optimization.
• Advanced C++ development skills required.
• Experience with GLSL and WebGPU is needed.

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.

Skills

CUDA programming

C++ development

GPU kernel optimization

GLSL

WebGPU

Profiling tools

Remote collaboration

Analytical skills

Tools

NVIDIA Nsight

GPU profiling tools

Job description

Job Overview

We are seeking experienced

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.