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Senior Robotics Engineer Jobs in Ohio (NOW HIRING)

NEURA Robotics

$120 - $160/hr

As a Senior Design Engineer, you will play a key role in shaping the next generation of MiPA, NEURA ... You will be responsible for the mechanical development of complex robotic subsystems, from concept ...

NEURA Robotics

$140 - $180/hr

You are a senior hardware engineer or architect who has seen the full lifecycle of a complex ... Experience in robotics, automotive (ADAS/body electronics), aerospace, or industrial automation ...

Path Robotics

Deployment Engineer

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They're the link between engineering and operations manufacturing groups as we prepare our robotic weld cells for deployment. You will report to our Senior Manager of Deployment Engineering and will ...

Path Robotics

Deployment Engineer

Columbus, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They're the link between engineering and operations manufacturing groups as we prepare our robotic weld cells for deployment. You will report to our Senior Manager of Deployment Engineering and will ...

Q-Lab Corporation

Senior Manufacturing Engineer

Westlake, OH · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Q-Lab Corporation is currently seeking a Senior Manufacturing Engineer . This role is ... Experience with Fanuc robotic programming * Experience with CNC VMC programming Who We Are: Q-Lab ...

Analogdevices

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Field Robotics System Engineer Position Specification Job Title: Senior / Staff Field Robotics System Engineer Location: US (Wilmington, MA preferred) or EMEA (Limerick, Ireland preferred ...

Q-Lab Corporation

Senior Manufacturing Engineer

Westlake, OH · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Type Full-time Description Q-Lab Corporation is currently seeking a Senior Manufacturing ... Experience with Fanuc robotic programming * Experience with CNC VMC programming Who We Are: Q-Lab ...

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Senior Robotics Engineer information

See Ohio salary details

$56.6K

$120.3K

$174.5K

How much do senior robotics engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior robotics engineer in Ohio is $120,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $136,400.00 per year, depending on experience, location, and employer.

What does a senior robotics engineer do?

A senior robotics engineer designs, develops, and tests robotic systems and automation solutions. They often lead projects, collaborate with multidisciplinary teams, and utilize programming languages like C++ or Python, as well as robotics frameworks such as ROS. They also troubleshoot hardware and software issues to ensure reliable operation of robotic systems.

What are the key skills and qualifications needed to thrive as a senior robotics engineer?

A Senior Robotics Engineer typically requires an advanced degree in robotics, mechanical, electrical, or computer engineering, along with extensive experience in designing and developing robotic systems. Proficiency in programming languages such as C++, Python or ROS, and familiarity with CAD tools, embedded systems, and relevant certifications like Certified LabVIEW Developer are highly valued. Strong problem-solving skills, leadership abilities, and effective communication set top candidates apart. These skills ensure innovative solutions, efficient project management, and effective collaboration across multidisciplinary teams in the fast-evolving field of robotics.

What is a senior robotics engineer?

A Senior Robotics Engineer designs, develops, and implements advanced robotic systems for various applications, such as automation, manufacturing, and healthcare. They lead projects, collaborate with cross-functional teams, and optimize hardware and software integration. Their role also includes troubleshooting, prototyping, and improving robotic algorithms for efficiency and precision. Additionally, they mentor junior engineers and ensure compliance with industry standards.

What are the typical projects and daily responsibilities of a senior robotics engineer?

Senior Robotics Engineers usually work on the end-to-end development of robotic systems, from conceptual design and prototyping to testing and deployment. Their daily responsibilities often include leading project teams, developing software and hardware integration, troubleshooting system issues, and optimizing performance. Collaboration with cross-functional teams such as mechanical engineers, software developers, and product managers is frequent. These engineers may also mentor junior staff, participate in code reviews, and stay updated on emerging robotics technologies to implement the latest advancements. This mix of technical and leadership tasks makes the role both challenging and rewarding.

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

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

What are popular job titles related to Senior Robotics Engineer jobs in Ohio?

For Senior Robotics Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Robotics Engineer jobs in Ohio look for?

The top searched job categories for Senior Robotics Engineer jobs in Ohio are:

What cities in Ohio are hiring for Senior Robotics Engineer jobs?

Cities in Ohio with the most Senior Robotics Engineer job openings:

Senior Robotics Engineer jobs near you
Infographic showing various Senior Robotics Engineer job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $120,317 per year, or $57.8 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 yesterday

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.

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