ZipRecruiter

Log In

2

Remote Industrial Automation Engineer Jobs in California

Cleanwater1, Inc

Lead Control System Engineer

Ripon, CA · Remote

$98K - $120K/hr

... automation objects. * Design and implement turnkey industrial control systems utilizing PLCs, HMIs, SCADA platforms, Remote I/O, and Distributed I/O architectures. * Integrate new equipment ...

We Vote

QA Automation Engineer - Volunteer

Oakland, CA · On-site +1

You have experience working in a remote team environment * A willingness to work with and support other volunteers. * You can commit to 6+ hours per week during our core team hours M-F 8 a.m. - 6 p.m ...

Enrollment123

QA Automation Engineer

Laguna Hills, CA · On-site +1

$150K - $175K/yr

Location: e123 is a Work From Anywhere company based in southern California with an entirely remote ... The QA Automation Engineer is a role on our engineering team focused on test strategy and ...

previous pagenext page

Showing results 21-40

All JobsIndustrial Automation Engineer JobsRemote Industrial Automation Engineer JobsRemote Industrial Automation Engineer Jobs in California

Remote Industrial Automation Engineer information

What is a remote industrial automation engineer?

Remote Industrial Automation Engineers are professionals who design, develop, program, and maintain automated systems and machinery, often working from a location outside the physical plant or facility. They use digital tools and remote access technologies to monitor and troubleshoot industrial equipment, ensure optimal performance, and implement process improvements. Their work enables manufacturers and other industries to increase efficiency, reduce downtime, and minimize the need for on-site interventions. These engineers typically collaborate with on-site staff and may travel occasionally to the facility as needed. Remote roles are increasingly common due to advancements in connectivity and industrial IoT technologies.

What are the key skills and qualifications needed to thrive as a remote industrial automation engineer?

To thrive as a Remote Industrial Automation Engineer, you need expertise in control systems, PLC programming, and electrical engineering, usually supported by a relevant engineering degree. Familiarity with SCADA systems, industrial network protocols, and certifications such as ISA Certified Automation Professional are highly valuable. Strong problem-solving, self-motivation, and effective remote communication skills help set candidates apart in this role. These abilities are crucial for designing, troubleshooting, and maintaining automation systems efficiently while collaborating with distributed teams and ensuring minimal downtime.

What are some common challenges faced by remote industrial automation engineers and how can they be addressed?

Remote Industrial Automation Engineers often face challenges such as troubleshooting complex automation systems without being physically present on-site and ensuring effective communication with on-site teams. To overcome these, engineers utilize remote monitoring tools, detailed documentation, and clear communication channels like video calls and collaborative platforms. Familiarity with remote access protocols and robust cybersecurity practices is crucial to maintain system integrity. Building strong relationships with on-site personnel also helps facilitate smooth issue resolution and project progress.

What is the difference between Remote Industrial Automation Engineer vs Remote Control Systems Technician?

AspectRemote Industrial Automation EngineerRemote Control Systems Technician
CredentialsBachelor's in Engineering, certifications like Siemens S7, Allen-BradleyTechnical diploma or associate degree, certifications in PLC programming
Work EnvironmentDesign, develop, and optimize automation systems remotely or on-siteInstall, troubleshoot, and maintain control systems remotely or on-site
Industry UsageManufacturing, process industries, energy sectorsManufacturing plants, industrial facilities, automation service providers

The Remote Industrial Automation Engineer focuses on designing and developing automation systems, while the Remote Control Systems Technician handles installation, troubleshooting, and maintenance. Both roles require technical certifications and often work in similar industrial environments, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Industrial Automation Engineer jobs in California?

The most popular types of Industrial Automation Engineer jobs in California are:

What are popular job titles related to Remote Industrial Automation Engineer jobs in California?

For Remote Industrial Automation Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Industrial Automation Engineer jobs in California look for?

The top searched job categories for Remote Industrial Automation Engineer jobs in California are:

What cities in California are hiring for Remote Industrial Automation Engineer jobs?

Cities in California with the most Remote Industrial Automation Engineer job openings:

Remote Industrial Automation Engineer jobs near you
Infographic showing various Remote Industrial Automation Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pomona, CA • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply