CUDA Software Engineer - Remote

YO IT Consulting; California (MO); 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

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.

Job Type

Contractor

Location

Remote

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.