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Automation Simulation Engineer Jobs in Ohio (NOW HIRING)

NEURA Robotics

$100 - $125/hr

A university degree (Bachelor's or Master's) in Robotics, Computer Science, Mechanical Engineering ... Knowledge of structured experiment management, Python‑based toolchains, and automation of ...

IC Automation

Automation Engineer

Solon, OH · On-site

Develops automation design plans by researching, analyzing, selecting and applying engineering ... Building and testing simulations and models while conducting compatibility evaluations and ...

IC Automation

Automation Engineer

Solon, OH · On-site

Develops automation design plans by researching, analyzing, selecting and applying engineering ... Building and testing simulations and models while conducting compatibility evaluations and ...

IC Automation

Automation Engineer

Solon, OH · On-site

Develops automation design plans by researching, analyzing, selecting and applying engineering ... Building and testing simulations and models while conducting compatibility evaluations and ...

Prosum Inc.

Renewable Energy Automation Engineer - BESS

OH · On-site

$120K - $135K/yr

This role focuses on control system architecture, automation engineering, and simulation modeling for utility-scale renewable energy and energy storage projects. The ideal candidate will have strong ...

Hexagon AB

Applications Engineer I

Miamisburg, OH · On-site

... automation, simulation, and analytics tools. The Applications Engineer provides technical sales ... support for all applications of Hexagon products, including metrology demonstrations, product ...

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Automation Simulation Engineer information

What is an automation simulation engineer?

Automation Simulation Engineers are professionals who design, develop, and test virtual models of automated systems, such as robotics, manufacturing lines, or industrial processes. They use simulation software to replicate real-world operations, helping companies optimize performance, identify issues, and reduce costs before actual implementation. Their work is crucial in industries like automotive, aerospace, and manufacturing, where efficiency and precision are vital. By simulating automation systems, they enable organizations to make informed decisions and improve overall productivity.

How does an automation simulation engineer typically collaborate with cross-functional teams during project development?

Automation Simulation Engineers frequently work alongside controls engineers, mechanical designers, and project managers to ensure simulation models accurately reflect real-world system behaviors. Collaboration often involves participating in design reviews, sharing simulation results, and iterating on model parameters based on feedback from different departments. Effective communication and teamwork are crucial, as simulation insights guide design choices, troubleshoot potential issues, and optimize automation processes before physical implementation. This cross-disciplinary approach ensures smoother project execution and greater system reliability.

What are the key skills and qualifications needed to thrive as an automation simulation engineer, and why are they important?

To thrive as an Automation Simulation Engineer, you need a solid background in engineering principles, control systems, and process automation, usually supported by a degree in electrical, mechanical, or automation engineering. Proficiency with simulation software (such as Siemens Tecnomatix, Rockwell Arena, or MATLAB/Simulink), programming languages, and PLC systems is crucial, and certifications in automation or simulation tools are often valued. Strong analytical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are essential to ensure accurate modeling, efficient automation solutions, and successful project outcomes in industrial environments.

What is the difference between Automation Simulation Engineer vs Automation Test Engineer?

AspectAutomation Simulation EngineerAutomation Test Engineer
Primary FocusDeveloping and validating simulation models for automation systemsDesigning and executing automated tests for software and hardware
Required SkillsSimulation software, control systems, programming (e.g., Python, MATLAB)Testing frameworks, scripting, defect tracking
Work EnvironmentEngineering labs, R&D departments, manufacturing settingsSoftware development teams, QA departments, manufacturing
Industry UsageManufacturing, robotics, industrial automationSoftware development, electronics, automation industries

While both roles involve automation, the Automation Simulation Engineer focuses on creating virtual models to test automation systems, whereas the Automation Test Engineer concentrates on executing automated tests to ensure software and hardware quality. Both roles require technical skills and are vital in automation industries, but their core responsibilities differ significantly.

What are popular job titles related to Automation Simulation Engineer jobs in Ohio?

For Automation Simulation Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Automation Simulation Engineer jobs in Ohio look for?

The top searched job categories for Automation Simulation Engineer jobs in Ohio are:

What cities in Ohio are hiring for Automation Simulation Engineer jobs?

Cities in Ohio with the most Automation Simulation Engineer job openings:

Automation Simulation Engineer jobs near you
Infographic showing various Automation Simulation Engineer job openings in Ohio as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Robotics Simulation Expert (human)

On-site

NEURA Robotics
See more jobs at NEURA Roboticsexternal

$100 - $125/hr

Other

Posted 7 days ago

Job description

The robotics of the future isn't just developed on real machines — it's built in simulation first. At NEURA Robotics, we're looking for someone who doesn't just operate complex simulation environments, but uses them systematically to objectively evaluate learning and control methods, and to pave the way from simulation to the real world.

Your mission & challenges
  • Simulation, Benchmarking & Evaluation: You build, configure, and operate complex robotics simulations. You develop standardized benchmark environments and test cases, run regular in-the-loop tests, and evaluate different control, planning, and learning approaches against clearly defined metrics.
  • Experiment Design & Reproducibility: You design reproducible simulation and evaluation experiments, conduct systematic ablation studies, and ensure clean versioning and documentation of scenarios, configurations, and results — including structured benchmark reports.
  • Sim-to-Real & Model Validation: You analyze the transferability of simulation results to real robot platforms, identify and quantify sim-to-real gaps (e.g. dynamics, sensor noise, contact models), and calibrate simulation parameters for maximum physical realism.
  • Collaboration & Interfaces: You work closely with ML, robotics, and software teams, jointly define benchmarks and quality thresholds with NEURA, and present simulation results clearly and accessibly to technical stakeholders.
What we can look forward to
  • A university degree (Bachelor's or Master's) in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Computational Engineering, or a related field
  • At least three years of relevant professional experience in robotics simulation, benchmarking, or model-based evaluation — with proven hands‑on experience in research or industry
  • Strong expertise in MuJoCo (contact models, actuation, sensors, XML models) and experience with multi‑GPU‑accelerated simulation environments such as NVIDIA Isaac Sim or PyBullet
  • Confident handling of robot and environment modelling (URDF, MJCF, USD) and a solid understanding of robotic dynamics, kinematics, and contact physics
  • Experience developing objective metrics and statistically evaluating simulation results
  • Knowledge of structured experiment management, Python‑based toolchains, and automation of simulation tests (batch runs, sweeps, CI‑like workflows)
  • Experience with or strong interest in sim-to-real transfer methods, as well as a good understanding of real robot hardware and its limitations
  • Team spirit, a structured working style, and the ability to document and communicate technical results with precision
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