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Remote Robotics Engineer Jobs in Maryland (NOW HIRING)

ESAB

Field Service Engineer

North Bethesda, MD · On-site +1

... field service, machine tool repair, robotics, or automated manufacturing systems ... Familiarity with CNC nesting software, CAD/CAM file formats (DXF, DWG, ESSI, G-code), and remote ...

Meso Scale Discovery

Software Engineer

Gaithersburg, MD · On-site +1

$78K - $116K/yr

Collaborate with hardware, systems, and electrical engineering teams to develop software interfaces for robotic platforms and IoT-enabled devices. * Support full-stack development activities ...

KBR

Senior Structural Analysis Engineer

Greenbelt, MD · On-site +1

$137K - $206K/yr

... missions, robotic servicing missions, and associated mechanical ground support equipment ... but remote work may be possible if approved by the customer US Citizenship Areas of Desired ...

AM Pierce & Associates

Systems Engineer

Lexington Park, MD · On-site +1

$90K - $105K/yr

Remote employees may be required to travel to Patuxent River for technical working sessions ... Work with senior systems engineers to plan and facilitate collaborative design activities. * Help ...

NTT DATA Services

IoT / Edge Software Engineer

Bethesda, MD · On-site +1

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE), Maryland (US-MD), United States (US). Job Summary: The IoT Edge Software Engineer is responsible for the ...

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Remote Robotics Engineer information

See Maryland salary details

$28.1K

$102.5K

$164K

How much do remote robotics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote robotics engineer in Maryland is $102,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $123,300.00 per year, depending on experience, location, and employer.

What is a remote robotics engineer?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are some typical challenges a remote robotics engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the key skills and qualifications needed to thrive as a remote robotics engineer, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

What are the most commonly searched types of Robotics Engineer jobs in Maryland?

The most popular types of Robotics Engineer jobs in Maryland are:

What are popular job titles related to Remote Robotics Engineer jobs in Maryland?

For Remote Robotics Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Robotics Engineer jobs in Maryland look for?

The top searched job categories for Remote Robotics Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Robotics Engineer jobs?

Cities in Maryland with the most Remote Robotics Engineer job openings:

Remote Robotics Engineer jobs near you
Infographic showing various Remote Robotics Engineer job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $102,494 per year, or $49.3 per hour.

Generative AI Automation Engineer - Remote Job

Towson, MD • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 25 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