2

Remote Robotics Engineer Jobs in Lebanon, OH (NOW HIRING)

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Weekly pay with full remote flexibility * Professional growth investment, including paid ...

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Weekly pay with full remote flexibility * Professional growth investment, including paid ...

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Senior Energy Engineer

Cincinnati, OH · On-site +1

$140K - $150K/yr

Remote employees must report to the company's Middleburg Heights headquarters at least once per ... Collaborate with sales, engineering, estimating, and project management teams throughout project ...

Senior Energy Engineer

Cincinnati, OH · On-site +1

$140K - $150K/yr

Remote employees must report to the company's Middleburg Heights headquarters at least once per ... Collaborate with sales, engineering, estimating, and project management teams throughout project ...

Jr. Field Service Engineer

Sharonville, OH · On-site +1

$59K - $121K/yr

Are you an Engineer looking for the next step in your career? Are you looking to work with cutting ... From advanced data collection technology to innovative software enabling remote collaboration ...

Jr. Field Service Engineer

Sharonville, OH · On-site +1

$59K - $121K/yr

Are you an Engineer looking for the next step in your career? Are you looking to work with cutting ... From advanced data collection technology to innovative software enabling remote collaboration ...

AI/ML Engineer, Mid

Dayton, OH · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243806 Location: Dayton,OH,US Share job via: Share AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will ...

Showing results 21-40

Remote Robotics Engineer information

See Lebanon, OH salary details

$26.5K

$96.4K

$154.3K

How much do remote robotics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote robotics engineer in Lebanon, OH is $96,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $116,000.00 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 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 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 most commonly searched types of Robotics Engineer jobs in Lebanon, OH? The most popular types of Robotics Engineer jobs in Lebanon, OH are:
What job categories do people searching Remote Robotics Engineer jobs in Lebanon, OH look for? The top searched job categories for Remote Robotics Engineer jobs in Lebanon, OH are:
What cities near Lebanon, OH are hiring for Remote Robotics Engineer jobs? Cities near Lebanon, OH with the most Remote Robotics Engineer job openings:

Full-time

Re-posted 16 days ago


Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

#LI-MB1

#LI-Remote

Employment Type: FULL_TIME