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How much do simulation assistant jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for simulation assistant in California is $33.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.18 and $46.61 per hour, depending on experience, location, and employer.

What is a simulation assistant?

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 key skills and qualifications needed to thrive as a simulation assistant?

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 the most commonly searched types of Simulation jobs in California?

The most popular types of Simulation jobs in California are:

What are popular job titles related to Simulation Assistant jobs in California?

For Simulation Assistant jobs in California, the most frequently searched job titles are:

What job categories do people searching Simulation Assistant jobs in California look for?

The top searched job categories for Simulation Assistant jobs in California are:

What cities in California are hiring for Simulation Assistant jobs?

Cities in California with the most Simulation Assistant job openings:

Simulation Assistant jobs near you
Infographic showing various Simulation Assistant job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $69,465 per year, or $33.4 per hour.

Senior Engineer, X-BAT Simulation Modeling (R4546)

Shield AI

San Diego, CA • On-site

$105K - $185K/yr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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:
The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation—from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly—safely, reliably, and fast.
As a Senior Modeling & Simulation Engineer, you will be a primary contributor to Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains—ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and the underlying simulation platform is both stable and fast.

What You'll Do
  • Develop infrastructure and models in C++ for autonomous aircraft simulation. 
  • Exercise your knowledge of modern aerospace and software engineering. 
  • Design deterministic, high-performance simulation software. 
  • Perform verification and validation (V&V) analysis activities on models and simulation tooling. 
  • Collaborate across autonomy, embedded, GNC, and test engineering teams to ensure our simulation mirrors real aircraft behavior and mission scenarios. 
  • Contribute to platform-agnostic simulation tooling to accelerate future development efforts.
Required Qualifications
  • BS in Computer Science, Aerospace, Robotics, or related field. 
  • Typically 5+ years of experience in simulation software development with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered. 
  • Proficient understanding of rigid-body dynamics, kinematics, and the physics of dynamical systems. 
  • Experience developing or integrating simulation systems for robotics, aerospace, and/or other complex dynamic systems (e.g., maritime, space, defense ground systems, or gaming). 
  • Ability to debug complex build and runtime environments. 
  • Experience with simulation verification and validation. 
  • Strong communication skills across software, hardware, and systems disciplines. 
  • Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship. 
Preferred Qualifications
  • MS or PhD in Computer Science, Aerospace, Robotics, or related field.
  • Familiarity with modern C++ standards (C++20 or later).
  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated testing environments. 
  • Experience with Hardware- and Software-in-the-Loop simulation environments, including integration of real hardware into simulation environments.
  • Experience with CMake, package management tools (e.g. Conan, Nix), and profiling tools.
  • Experience with software testing tools (GTest, etc.) 
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration. 
  • Experience working on autonomous aircraft systems. 
  • Active Secret or Top Secret Clearance is desired.
#LI-SM1

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.