ZipRecruiter

Log In

2

Remote Robotic Welding Programmer Jobs (NOW HIRING)

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

... robotic systems that load and unload trailers faster, safer, and more reliably than traditional ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Path Robotics

Software Engineer, Fleet Platform

Columbus, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Platform-focused Software Engineer to join our team. You will bridge the gap ... You have hands-on experience or a strong interest in tools for remote robotics tooling (e.g ...

Harbor Freight Tools

Sr. RPA Engineer - Remote

Calabasas, CA · On-site +1

$95K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sr. RPA Engineer is responsible for designing, developing, testing, implementing, and ... Corporate - Remote - General office environment requiring ability to: *Stand, walk, sit for ...

Booz Allen Hamilton, Inc.

Robotics Engineer

Mclean, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0238340 Location: McLean,VA,US Share job via: Share Robotics Engineer The Opportunity: Conduct the research, development, integration, deployment, and evaluation of ...

previous pagenext page

Showing results 21-40

All JobsRobotic Welding Programmer JobsRemote Robotic Welding Programmer Jobs

Remote Robotic Welding Programmer information

See salary details

$12

$21

$31

How much do remote robotic welding programmer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote robotic welding programmer in the United States is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is the difference between Remote Robotic Welding Programmer vs Robotic Welding Technician?

AspectRemote Robotic Welding ProgrammerRobotic Welding Technician
CredentialsWelding certifications, programming skills, technical trainingWelding certifications, technical training, hands-on experience
Work EnvironmentOffice or remote settings, programming and software developmentManufacturing floors, equipment setup, maintenance
Job FocusDeveloping and optimizing robotic welding programs remotelyOperating, maintaining, troubleshooting robotic welding equipment

Remote Robotic Welding Programmers focus on creating and refining welding programs remotely, often requiring programming skills and certifications. Robotic Welding Technicians work directly on the manufacturing floor, handling equipment setup and maintenance. Both roles are essential in the welding industry but differ mainly in their work environment and daily tasks.

What are some common challenges faced by remote robotic welding programmers, and how can they be addressed?

Remote Robotic Welding Programmers often encounter challenges such as ensuring precise machine calibration without being physically present, troubleshooting equipment issues from a distance, and maintaining effective communication with on-site technicians. To address these challenges, it’s essential to utilize advanced remote monitoring software, maintain detailed documentation, and establish clear protocols for collaboration with shop-floor teams. Regular virtual meetings and remote diagnostics tools can help bridge the gap and ensure smooth workflow, even when working off-site.

What are the key skills and qualifications needed to thrive as a remote robotic welding programmer, and why are they important?

To thrive as a Remote Robotic Welding Programmer, you need expertise in welding processes, robotics programming, and a technical background in engineering or manufacturing. Familiarity with robotic programming languages (such as FANUC, ABB, or KUKA), CAD/CAM software, and industry certifications like AWS Certified Robotic Arc Welding are typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for troubleshooting and collaborating remotely. These skills ensure precise, efficient welding operations and support seamless integration of robotics in manufacturing environments.

What does a remote robotic welding programmer do?

A Remote Robotic Welding Programmer is responsible for creating, testing, and optimizing programs that control robotic welding equipment, often from an offsite location. They use specialized software to design weld paths, set parameters, and troubleshoot automation issues to ensure high-quality welds and efficient production. Working remotely, they may connect to robots through secure networks, collaborate with onsite technicians, and update programs to accommodate different products or materials. Their role is essential in industries such as automotive, aerospace, and manufacturing, where precision and automation are critical.
More about Remote Robotic Welding Programmer jobs

What cities are hiring for Remote Robotic Welding Programmer jobs?

Cities with the most Remote Robotic Welding Programmer job openings:

What are the most commonly searched types of Robotic Welding Programmer jobs?

The most popular types of Robotic Welding Programmer jobs are:

What states have the most Remote Robotic Welding Programmer jobs?

States with the most job openings for Remote Robotic Welding Programmer jobs include:

What job categories do people searching Remote Robotic Welding Programmer jobs look for?

The top searched job categories for Remote Robotic Welding Programmer jobs are:

Remote Robotic Welding Programmer jobs near you
Infographic showing various Remote Robotic Welding Programmer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 2% Contract, and 3% Nights. Highlights an 100% Physical job distribution, with an average salary of $43,864 per year, or $21.1 per hour.

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Path Robotics

Columbus, OH • On-site, Remote

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 hours ago

Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones.
We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality.
We are hiring two Senior Machine Learning Engineers with complementary specializations:
  • Senior Machine Learning Engineer, World Models
  • Senior Machine Learning Engineer, Reinforcement Learning
Senior ML Engineer, World Models
What You'll Do
  • Build action-conditioned world models that predict how the welding process evolves under changes to robot motion and process parameters.
  • Model relationships among inputs, system state, physical dynamics, and resulting weld quality.
  • Develop multimodal models using data such as video, 3D scans, thermal measurements, electrical signals, robot state, and process parameters.
  • Explore latent dynamics, video prediction, generative modeling, and spatiotemporal representations.
  • Improve long-horizon rollout accuracy, physical plausibility, temporal consistency, and computational efficiency.
  • Quantify model uncertainty and identify conditions under which predictions are unreliable.
  • Validate learned predictions against real-world welding data.
  • Integrate the model into RL, planning, process-optimization, evaluation, and synthetic-data workflows.
  • Prevent downstream optimization systems from exploiting inaccuracies in the learned model.
  • Translate promising research into scalable training and inference systems.
Senior ML Engineer, Reinforcement Learning
What You'll Do
  • Develop reinforcement learning approaches for optimizing welding decisions and process outcomes.
  • Define state, observation, action, and reward representations based on measurable manufacturing objectives.
  • Train and evaluate policies using learned world models, traditional simulation, offline datasets, and controlled real-world experiments.
  • Develop offline, model-based, or constrained RL methods suitable for limited and expensive physical interaction.
  • Optimize across competing objectives such as weld quality, cycle time, reliability, energy use, and equipment constraints.
  • Design methods that account for uncertainty, distribution shift, delayed outcomes, and sparse or imperfect reward signals.
  • Diagnose reward exploitation, unsafe behavior, policy instability, and model exploitation.
  • Establish reliable offline and real-world policy evaluation methods.
  • Partner with controls, welding, robotics, world-model, data, and ML infrastructure engineers.
  • Translate research prototypes into dependable training, evaluation, and deployment systems.
Who You Are
  • Master's or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
  • Experience developing and deploying reinforcement learning algorithms on real-world systems.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with simulation environments (e.g., MuJoCo, Isaac Gym).
  • Solid understanding of probability, statistics, and optimization.
  • Experience with training and deploying ML models in production systems.
Why You'll Love It Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

Apply