Remote CUDA Kernel Optimization Engineer

Xperteez Technology Pvt Ltd; United States; Remote; USD 138,000 - 248,000; Full time

Job summary

Xperteez Technology Pvt Ltd is seeking a CUDA Engineering Expert for a remote contractor role. You will analyze GPU kernels, profile performance with CUDA tools, and optimize throughput on modern hardware for an AI-focused project.

The work involves collaborating with an AI lab, refining C++/CUDA code, and delivering high-quality, real-world input into training pipelines. Responsibilities include refactoring code for portability across architectures, implementing GLSL and WebGPU shader logic,

Qualifications

• CUDA and C++ expertise with GPU kernel optimization.
• Experience with GLSL and WebGPU is a plus.
• Familiarity with GPU profilers and performance tuning.
• Strong communication and ability to document results.

Responsibilities

• Analyze, profile, and optimize GPU kernels using CUDA to maximize throughput.
• Refactor C++ and CUDA codebases for maintainability across GPUs.
• Implement shader logic using GLSL and WebGPU and integrate with pipelines.
• Document findings and performance improvements with clear reports.
• Collaborate with remote team and stay updated on GPU programming advances.

Skills

CUDA

C++

GLSL

WebGPU

Job description

Xperteez Technology Pvt Ltd is seeking a CUDA Engineering Expert for a remote contractor role. You will analyze GPU kernels, profile performance with CUDA tools, and optimize throughput on modern hardware for an AI-focused project.

The work involves collaborating with an AI lab, refining C++/CUDA code, and delivering high-quality, real-world input into training pipelines. Responsibilities include refactoring code for portability across architectures, implementing GLSL and WebGPU shader logic,