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$29

$61

How much do simulation assistant jobs pay per hour?

As of May 31, 2026, the average hourly pay for simulation assistant in Texas is $29.99, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $41.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Simulation Assistant, and why are they important?

To thrive as a Simulation Assistant, you need a background in healthcare or education, familiarity with simulation-based learning, and strong organizational skills, often supported by relevant certifications or training. Proficiency with simulation technologies, audiovisual equipment, and learning management systems is highly beneficial. Attention to detail, effective communication, and the ability to troubleshoot technical issues are key soft skills that enhance performance in this role. These skills and qualities are essential for ensuring smooth simulation sessions, accurate scenario delivery, and a valuable learning experience for participants.

What are some common challenges Simulation Assistants face during simulation sessions, and how can they effectively address them?

Simulation Assistants often encounter challenges such as technical malfunctions with simulation equipment, last-minute scenario changes, and managing the logistics of participant flow. To address these, it's important to develop a strong familiarity with the simulation technology, maintain clear communication with instructors and participants, and be proactive in troubleshooting. Being adaptable and organized helps ensure simulations run smoothly and provides valuable learning experiences for all involved.

What are Simulation Assistants?

Simulation Assistants are professionals who support the setup, operation, and breakdown of simulations, often in healthcare, education, or technical training environments. They work with simulation coordinators and instructors to ensure that all equipment and scenarios are prepared and run smoothly. Their duties may include assembling manikins, operating simulation software, maintaining equipment, and assisting with scenario execution. Simulation Assistants are essential in creating realistic, hands-on learning experiences for students and professionals.
What are the most commonly searched types of Simulation jobs in Texas? The most popular types of Simulation jobs in Texas are:
What are popular job titles related to Simulation Assistant jobs in Texas? For Simulation Assistant jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Simulation Assistant jobs in Texas look for? The top searched job categories for Simulation Assistant jobs in Texas are:
What cities in Texas are hiring for Simulation Assistant jobs? Cities in Texas with the most Simulation Assistant job openings:
Simulation Assistant jobs near you
Infographic showing various Simulation Assistant job openings in Texas as of May 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 50% Physical, 17% Hybrid, and 33% Remote job distribution, with an average salary of $62,385 per year, or $30 per hour.
Manager, Simulation Engineering (R4870)

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX • On-site

Full-time

Posted 7 days ago

Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
As the VBAT Simulation Lead, you will be responsible for improving and scaling our simulation capabilities for the V-BAT and future aircraft. You will design, resource, manage, build and integrate tooling across our various engineering teams (e.g. Aerodynamics, GNC, Propulsion, etc.) to enable efficient and scalable simulation workflows. Your simulation solutions will be a key development tool for other engineers and also a critical gate in our release process. 
What you'll do:
  • Work with tech leads and stockholders to design,  track, and report simulation roadmaps and release plans.  
  • Align needs and priorities across many teams and disciplines 
  • Hire and manage a team of specialized simulation engineers across multiple locations. 
  • Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions 
  • Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.  
  • Stay updated with the latest advancements in simulation technologies and drive best practices across the team 
  • Build and maintain documentation and dashboards to quickly provide data and status to leadership. 
Required qualifications:
  • BS in Computer Science or related engineering field with 8+ years of professional experience. 
  • 3+ years of experience leading engineering teams or projects. 
  • Passion for simulation and testing with the goal of ensuring safety and reliability at scale. 
  • A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps 
  • Strong foundation in C++ and software architecture  
  • Foundational knowledge of statistics and its application in software development, testing, and data analysis.  
  • Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.
Preferred qualifications:
  • Experience with Docker, Kubernetes, and/or containerized application development 
  • Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc.  
  • Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster)  
  • Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks. 
#LI-SM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.