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Remote G Code Programmer Jobs in California (NOW HIRING)

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

ORA_REMOTE Description SAIC is seeking a highly experienced ICT (Information, Communications ... NFPA 70 (National Electrical Code) * UFC 3-580-01 * Army Reserve Network Enterprise Center ...

New

Proficient in developing Python for production systems, including unit testing, code review ... e.g., Looker, Streamlit). Hybrid/Remote: This role can be based remotely but if you live within a ...

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Background in participating in rigorous code reviews and contributing to the development of ...

Showing results 41-60

Remote G Code Programmer information

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 the most commonly searched types of G Code Programmer jobs in California?

The most popular types of G Code Programmer jobs in California are:

What are popular job titles related to Remote G Code Programmer jobs in California?

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

What job categories do people searching Remote G Code Programmer jobs in California look for?

The top searched job categories for Remote G Code Programmer jobs in California are:

What cities in California are hiring for Remote G Code Programmer jobs?

Cities in California with the most Remote G Code Programmer job openings:

CUDA Software Engineer - Remote

YO AI Labs

Palo Alto, CA • Remote

$60 - $100/hr

Full-time

Posted yesterday

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.