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Medical Simulation Jobs in Ohio (NOW HIRING)

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Medical Simulation information

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$37.1K

$117.3K

$181.1K

How much do medical simulation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for medical simulation in Ohio is $117,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $139,300.00 per year, depending on experience, location, and employer.

What is medical simulation?

Medical simulation is a training technique that uses realistic scenarios, mannequins, virtual reality, or computer-based models to replicate clinical situations for healthcare professionals. It allows doctors, nurses, and medical students to practice procedures, critical thinking, and teamwork in a safe and controlled environment without risk to real patients. This hands-on approach improves skills, enhances patient safety, and helps learners gain confidence before working in real clinical settings.

What are medical simulation jobs?

Jobs in the medical simulation field include simulation technicians or specialists, simulation coordinators, and simulation operators. Your responsibilities as a simulation operator include operating the equipment used for simulation, maintaining or adjusting the equipment, operating audio and video equipment, facilitating training, creating troubleshooting documents, and providing orientation to personnel. As a simulation program coordinator, you implement, develop, and evaluate integrated simulated clinical experiences. You also work to ensure the right learning outcomes for participants as defined in the syllabus. A simulation technician or specialist’s duties include programming the simulator software, performing preventative maintenance to keep the simulators working, helping with record keeping and data input, and giving tours to people who use the simulators.

What is the difference between Medical Simulation vs Medical Educator?

AspectMedical SimulationMedical Educator
CredentialsTypically requires healthcare background, certifications in simulation or trainingRequires healthcare credentials, teaching certifications often preferred
Work EnvironmentSimulation labs, training centers, hospitalsClassrooms, hospitals, academic institutions
Industry UsageDesigning and managing simulation scenarios for trainingTeaching and curriculum development for medical students and staff

Medical Simulation specialists focus on creating realistic training scenarios using simulation technology, while Medical Educators develop and deliver educational content. Both roles require healthcare knowledge, but Medical Simulation emphasizes technical setup and scenario design, whereas Medical Educators concentrate on teaching and curriculum planning.

What are some common challenges faced by professionals working in medical simulation, and how can they be addressed?

Professionals in medical simulation often encounter challenges such as keeping up with rapidly evolving technologies, ensuring realism in scenarios, and coordinating schedules among busy healthcare staff. Addressing these challenges involves ongoing professional development, collaborating closely with clinicians to design relevant simulations, and maintaining open communication with stakeholders. Additionally, fostering a culture of continuous feedback helps improve both the learning experience and the effectiveness of simulation programs.

What are the key skills and qualifications needed to thrive as a medical simulation specialist, and why are they important?

To thrive as a Medical Simulation Specialist, you need a background in healthcare, education, or biomedical engineering, along with knowledge of clinical procedures and adult learning principles. Familiarity with simulation technologies, such as high-fidelity manikins, audiovisual systems, and scenario development software, is typically required, and certifications like Certified Healthcare Simulation Educator (CHSE) can be advantageous. Excellent problem-solving, communication, and teamwork skills help facilitate training sessions and coordinate with educators and clinicians. These competencies ensure effective, realistic training environments that enhance healthcare professionals' skills and patient safety.
More about Medical Simulation jobs
What are the most commonly searched types of Medical Simulation jobs in Ohio? The most popular types of Medical Simulation jobs in Ohio are:
What are popular job titles related to Medical Simulation jobs in Ohio? For Medical Simulation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Medical Simulation jobs in Ohio look for? The top searched job categories for Medical Simulation jobs in Ohio are:
What cities in Ohio are hiring for Medical Simulation jobs? Cities in Ohio with the most Medical Simulation job openings:
Medical Simulation jobs near you
Infographic showing various Medical Simulation job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $117,315 per year, or $56.4 per hour.

Software Simulation Engineer, Sensor Rendering

Path Robotics

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
We're looking for a Software Simulation Engineer to help us stand up and scale our sensor simulation infrastructure for sim-to-real model training. You will own the rendering and simulation of our 2D and 3D sensors, which our perception models rely on. You'll produce photorealistic, physically accurate synthetic data, enabling us to train and validate perception systems faster and at a greater scale than real-world data alone allows.
What You'll Do
Experienced Level:
  • Implement and validate physics-based sensor simulation models (structured light, depth, RGB, stereo, etc.) within platforms such as NVIDIA Isaac Sim, Blender or Unreal Engine, producing outputs that closely match real sensor behavior.
  • Build photorealistic scene rendering pipelines that account for sensor placement on the robot end-effector. Emulate robot trajectories both with and without physical models. Utilize accurate material properties, such as metal reflectance, weld spatter, and torch glow, to ensure synthetic data is meaningful for perception model training.
  • Develop synthetic data generation pipelines producing annotated ground-truth (point clouds, depth maps, segmentation masks) at scale.
  • Implement domain randomization strategies (lighting, material variation, sensor noise, viewpoint perturbation) to improve sim-to-real transfer for downstream perception models.
  • Collaborate with perception teams to ensure rendered outputs meet dataset requirements and write high-quality Python code.

Senior Level:
  • Lead the design and validation of high-fidelity, photorealistic sensor render pipelines grounded in real sensor characterization data and validated against physical measurements.
  • Architect the sensor rendering strategy for the Perception team, defining which sensor modalities, material models, and environmental conditions must be simulated to support perception across the full weld cell workflow.
  • Own the sim-to-real validation framework: define quantitative benchmarks and go/no-go criteria for when synthetic sensor data is ready to feed production model training.
  • Drive 3D asset and environment pipeline strategy, including CAD-to-simulation workflows, SDF/URDF asset management, material library management, and procedural scene generation for weld cell environments across Gazebo, Isaac Sim, and Unreal Engine.
  • Define strategy for when and how to use each simulation platform (Gazebo for ROS-integrated functional testing, Isaac Sim or Unreal Engine for photorealistic synthetic data generation) and build workflows that span them coherently.
  • Mentor engineers on rendering best practices, physically based material modeling, Gazebo plugin development, and synthetic data methodology.
Who You Are
  • Education & Experience: Degree in CS/Robotics/EE plus 3+ years (Experienced) or 5+ years (Senior) in simulation, rendering, or perception.
  • Software Proficiency: Strong Python skills for building production-grade simulation tooling and plugins.
  • Simulation Platforms: Hands-on experience with NVIDIA Isaac Sim, Unreal Engine, Blender or Gazebo (Classic/Ignition).
  • Rendering & Assets: Solid understanding of Physically Based Rendering (PBR) and experience with 3D assets (URDF, SDF, USD).
  • 3D data and assets: Experience with mesh representations, material authoring, and CAD-to-render workflows using formats such as URDF, SDF, or USD.
  • Synthetic data pipelines: Experience building annotated synthetic dataset generation systems and domain randomization strategies aimed at real-world model training.
  • Generative AI: Experience with generative image AI (e.g., diffusion models) and its application in synthetic data generation.
Nice to Have
  • Direct experience with NVIDIA Omniverse / Isaac Sim and USD-based scene composition.
  • Familiarity with simulating industrial phenomena like arc flash, weld spatter, and thermal emission.
  • Experience with generative AI (diffusion models) and procedural geometry for scalable 3D mesh generation.
  • Prior work in manufacturing or automotive simulation and cloud-based render farm infrastructure.
  • Experience with GPU-accelerated rendering or cloud-based render farm infrastructure.
Why You'll Love It Here
  • Free lunch every day
  • Flexible PTO
  • Medical, Dental, and Vision insurance
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus
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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