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Remote G Code Programmer Jobs in Phoenix, AZ (NOW HIRING)

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

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

AI Software Engineer - Remote

Phoenix, AZ ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating

Sr Fullstack Engineer

Phoenix, AZ ยท Remote

$125K - $165K/yr

THIS OPENING IS AVAILABLE FOR CANDIDATES IN THE UNITED STATES ONLY. Sonatafy Technology, headquartered in Scottsdale, Arizona, is an award-winning nearshore software development company with a strong

DevOps Expert - Remote

Phoenix, AZ ยท Remote

$30 - $80/hr

Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software

Showing results 21-40

Remote G Code Programmer information

See Phoenix, AZ salary details

$11

$39

$68

How much do remote g code programmer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote g code programmer in Phoenix, AZ is $39.26, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $51.06 per hour, depending on experience, location, and employer.

What is the difference between Remote G Code Programmer vs CNC Machinist?

AspectRemote G Code ProgrammerCNC Machinist
CredentialsKnowledge of G-code, CAD/CAM software, sometimes certifications in CNC programmingTechnical training, certifications in machining or manufacturing
Work EnvironmentPrimarily remote, computer-based tasksOn-site manufacturing or machine shop
Industry UsageDesigning and programming CNC machines remotelyOperating CNC machines directly in production
Search & Comparison IntentUnderstanding programming roles, remote work optionsHands-on machining skills, on-site work

The main difference is that Remote G Code Programmers focus on writing and optimizing G-code instructions remotely, often using CAD/CAM software, while CNC Machinists operate and set up CNC machines directly in manufacturing environments. Both roles require knowledge of G-code, but their work settings and responsibilities differ significantly.

What are popular job titles related to Remote G Code Programmer jobs in Phoenix, AZ?

For Remote G Code Programmer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote G Code Programmer jobs in Phoenix, AZ look for?

The top searched job categories for Remote G Code Programmer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote G Code Programmer jobs?

Cities near Phoenix, AZ with the most Remote G Code Programmer job openings:

Infographic showing various Remote G Code Programmer job openings in Phoenix, AZ as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $81,651 per year, or $39.3 per hour.

CUDA Engineering Expert - Remote

Phoenix, AZ โ€ข Remote

$60 - $100/hr

Full-time

Posted 24 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.