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Remote G Code Programmer Jobs in Fremont, CA (NOW HIRING)

CUDA Developer - Remote

Palo Alto, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Refactor C++ and CUDA code for efficiency and maintainability. * Develop shader logic using GLSL ...

New

CUDA Developer - Remote

San Jose, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Refactor C++ and CUDA code for efficiency and maintainability. * Develop shader logic using GLSL ...

New

CUDA Developer - Remote

San Francisco, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Refactor C++ and CUDA code for efficiency and maintainability. * Develop shader logic using GLSL ...

New

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Participate in code reviews and provide constructive technical feedback. * Troubleshoot, debug, and ...

New

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Refactor C++ and CUDA code for efficiency and maintainability. * Develop shader logic using GLSL ...

New

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Refactor C++ and CUDA code for efficiency and maintainability. * Develop shader logic using GLSL ...

New

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Refactor C++ and CUDA code for efficiency and maintainability. * Develop shader logic using GLSL ...

New

Showing results 21-40

Remote G Code Programmer information

See Fremont, CA salary details

$13

$43

$75

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

As of Aug 23, 2026, the average hourly pay for remote g code programmer in Fremont, CA is $43.28, according to ZipRecruiter salary data. Most workers in this role earn between $28.17 and $56.30 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 Fremont, CA?

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

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

The top searched job categories for Remote G Code Programmer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote G Code Programmer jobs?

Cities near Fremont, CA with the most Remote G Code Programmer job openings:

Infographic showing various Remote G Code Programmer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $90,019 per year, or $43.3 per hour.

CUDA Developer - Remote

YO AI Labs

Palo Alto, CA โ€ข Remote

$60 - $100/hr

Full-time

Posted 2 days ago

New


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.