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Remote G Code Programmer Jobs in Cambridge, MA (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

Programmer Analyst

Boston, MA ยท Remote

$30 - $35/hr

... code quality and resolve issues. ยท Learns assignments and designs/develops programming ... remote position. Application Deadline This position is anticipated to close on Aug 18, 2026. About ...

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 ...

Posted today

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 ...

Posted today

Principal Statistical Programmer

Boston, MA ยท Remote

$149K - $223K/yr

Performs quality control checks of SAS code and output produced by other Statistical Programmers to ... Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be ...

Principal DevOps Architect

Boston, MA ยท Remote

$72 - $94.75/hr

... g., Jenkins), with a focus on reliability, repeatability, and developer experience. * Expertise with Infrastructure as Code (Terraform and/or CloudFormation) and configuration practices that enable ...

Guidewire Developer-ClaimCenter

Boston, MA ยท On-site +1

$59.25 - $78.25/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... In this role, you will design and code scalable solutions, influence architecture, and provide ...

Software Programmers

Salem, MA ยท Remote

$113K/yr

GovCIO Overview GovCIO is currently hiring for a Software Programmer 2. This position will be located in Fairfax, VA and is a fully remote position. Responsibilities - Builds and codes applications ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

Showing results 21-40

Remote G Code Programmer information

See Cambridge, MA salary details

$13

$43

$75

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

As of Aug 21, 2026, the average hourly pay for remote g code programmer in Cambridge, MA is $43.21, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $56.20 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 Cambridge, MA?

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

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

The top searched job categories for Remote G Code Programmer jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Remote G Code Programmer jobs?

Cities near Cambridge, MA with the most Remote G Code Programmer job openings:

Infographic showing various Remote G Code Programmer job openings in Cambridge, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $89,880 per year, or $43.2 per hour.

CUDA Engineering Expert - Remote

YO AI Labs

Boston, MA โ€ข 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.