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

YO AI Labs

DevOps Expert - Remote

San Francisco, CA · Remote

$30 - $80/hr

Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are ... Claude Code * Claude Cowork * AI Agents * Workplace Connectors Preferred Qualifications

S.E. SPECTER

Site Reliability Engineer

San Francisco, CA · Remote

$67.25 - $89.25/hr

PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion ... OTA update pipelines, device health tracking, remote diagnostics, and lifecycle tooling. * Identify ...

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $45/hr

Position: AWS Cloud Engineer - Python (Contract) Location: Remote (U.S.) Duration: 12-Month ... Develop cloud infrastructure using Infrastructure as Code (Terraform). * Collaborate with cross ...

TechData Service Company LLC

Be Seen First

Statistical Programmer (5 Plus Years Experience)

Alameda, CA · Remote

$80 - $90/hr

Remote Job Type: Long term contract Hourly Rate: $80-$90/hr. W2 Expectation: Sr. level 5+ yrs exp ... Run CDISC validation programs e.g., Open CDISC reports to ensure ADaM datasets are CDISC compliant.

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All JobsG Code Programmer JobsRemote G Code Programmer JobsRemote G Code Programmer Jobs in Concord, CA

Remote G Code Programmer information

See Concord, CA salary details

$13

$43

$75

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

As of Sep 14, 2026, the average hourly pay for remote g code programmer in Concord, CA is $43.38, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $56.44 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 Concord, CA?

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

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

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

Remote G Code Programmer jobs near you
Infographic showing various Remote G Code Programmer job openings in Concord, CA as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $90,233 per year, or $43.4 per hour.

Golang Developer with Devops/LLM exp

San Francisco, CA • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

Contractor

Re-posted 7 days ago

Job description

Job Title: Golang Developer with Devops/LLM exp
Location: California (Remote)
 
Job Description:
We are looking for devs with general cloud services / distributed services experience, with LLM experience as a secondary skill. GPU experience is now low on the list of preferred skills: Dedicated Inference Service
Required Skills-
  • Deep experience building services in modern cloud environments on distributed systems (i.e., containerization (Kubernetes, Docker), infrastructure as code, CI/CD pipelines, APIs, authentication and authorization, data storage, deployment, logging, monitoring, alerting, etc.)
  • Experience working with Large Language Models (LLMs), particularly hosting them to run inference
  • Strong verbal and written communication skills. Your job will involve communicating with local and remote colleagues about technical subjects and writing detailed documentation.
  • Experience with building or using benchmarking tools for evaluating LLM inference for various models, engine, and GPU combinations.
  • Familiarity with various LLM performance metrics such as prefill throughput, decode throughput, TPOT, and TTFT
  • Experience with one or more inference engines: e.g., vLLM, SGLang, and Modular Max
  • Familiarity with one or more distributed inference serving frameworks: e.g., llm-d, NVIDIA Dynamo, and Ray Serve etc.
  • Experience with AMD and NVIDIA GPUs, using software like CUDA, ROCm, AITER, NCCL, RCCL, etc.
  • Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing etc.
What You'll Be Working On-
  • Develop and maintain an inference platform for serving large language models optimized for the various GPU platforms they will be run on.
  • Work on complex AI and cloud engineering projects through the entire product development lifecycle (PDLC) - ideation, product definition, experimentation, prototyping, development, testing, release, and operations.
  • Build tooling and observability to monitor system health, and build auto tuning capabilities.
  • Build benchmarking frameworks to test model serving performance to guide system and infrastructure tuning efforts.
  • Build native cross platform inference support across NVIDIA and AMD GPUs for a variety of model architectures.
  • Contribute to open source inference engines to make them perform better on DigitalOcean cloud.