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Remote Robotic Welding Programmer Jobs in California

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

OSARO

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

Corvus Robotics

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

Cargomatic

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... and RPA stack, with real exception-handling and audit requirements. You will work at the ...

Oklo

Hot Cell Design Engineer

Santa Clara, CA · On-site +1

Position Description: As a Hot Cell Design Engineer at Oklo, you will help shape a highly ... Integrate robotic and remote handling technologies (e.g., manipulators, cameras, cranes, etc.) into ...

Oklo

Hot Cell Design Engineer

Santa Clara, CA · On-site +1

Position Description: As a Hot Cell Design Engineer at Oklo, you will help shape a highly ... Integrate robotic and remote handling technologies (e.g., manipulators, cameras, cranes, etc.) into ...

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Remote Robotic Welding Programmer information

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.

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 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 the most commonly searched types of Robotic Welding Programmer jobs in California?

The most popular types of Robotic Welding Programmer jobs in California are:

What are popular job titles related to Remote Robotic Welding Programmer jobs in California?

For Remote Robotic Welding Programmer jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Remote Robotic Welding Programmer jobs?

Cities in California with the most Remote Robotic Welding Programmer job openings:

Remote Robotic Welding Programmer jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Design, build, and maintain GPU-based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference, and deployment workflows.

  • Collaborate with robotics teams to implement model serving infrastructure for edge and robot deployment.

  • Monitor model performance and system reliability across development and production environments.

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.