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Remote Kernel Developer Jobs in Phoenix, AZ (NOW HIRING)

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Kernel Developer information

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$43

$63

$93

How much do remote kernel developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote kernel developer in Phoenix, AZ is $63.12, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $66.35 per hour, depending on experience, location, and employer.

What job categories do people searching Remote Kernel Developer jobs in Phoenix, AZ look for?

The top searched job categories for Remote Kernel Developer jobs in Phoenix, AZ are:

CUDA Developer - Remote

Phoenix, AZ • Remote

$60 - $100/hr

Full-time

Posted 20 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.