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Modeling And Simulation Jobs in Rio Rancho, NM (NOW HIRING)

Engineer V

Albuquerque, NM · On-site

$137K - $168K/yr

Modeling and simulation: Develop and exercise spacecraft models, mission simulations, and analytical tools to evaluate technology options and mission performance This position requires hands-on ...

Physicist - Multiphysics Modeling

Albuquerque, NM · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Perform coupled CFD/CSD simulations to characterize complex fluid-structure interaction phenomena under operationally relevant conditions * Conduct thermal modeling to assess heat transfer, thermal ...

Showing results 41-60

Modeling And Simulation information

See Rio Rancho, NM salary details

$35.2K

$91.3K

$129.9K

How much do modeling and simulation jobs pay per year?

As of Aug 16, 2026, the average yearly pay for modeling and simulation in Rio Rancho, NM is $91,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $116,800.00 per year, depending on experience, location, and employer.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are the key skills and qualifications needed to thrive as a modeling and simulation specialist?

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

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

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is a modeling and simulation job?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.

What cities near Rio Rancho, NM are hiring for Modeling And Simulation jobs?

Cities near Rio Rancho, NM with the most Modeling And Simulation job openings:

Infographic showing various Modeling And Simulation job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $95,241 per year, or $45.8 per hour.

Research Asst Professor

University of New Mexico

Albuquerque, NM • On-site

Full-time

Re-posted yesterday


University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

99th of 618 rated colleges and universities


Job description

UNM Nuclear Engineering Department seeks a Research Assistant Professor to lead modeling, simulation, and experimental work on passive decay heat removal in fluoride-salt-cooled high-temperature reactors (FHRs) under molten salt leakage accident conditions. The position supports a funded research program spanning system-level modeling, transient multi-physics simulation, comparative analysis of ex-core cooling strategies (RCCS and PRACS), and validation against a reduced-scale salt leak test facility. The successful candidate will conduct independent research, contribute to proposals and publications, and help mentor graduate students. This is a full-time, grant-funded appointment with an initial one-year term and the possibility of renewal.
Key Responsibilities
Develop system-level models of FHR cores and reactor cavity cooling systems to capture transient decay heat generation and removal under salt-loss conditions, using MATLAB or Python.
Perform coupled neutronics, thermal-hydraulics, and burn-up analysis, and conduct CFD studies (RANS with conjugate heat transfer) to identify post-shutdown temperature hotspots.
Compare ex-core decay heat removal strategies (RCCS versus PRACS) using in-house models and/or MELCOR, and quantify removal efficiency, response time, and safety margins.
Support scaling analysis and the design, construction, and operation of a reduced-scale RCCS and salt facility, and use the experimental data to validate and refine the computational models.
Prepare technical reports, peer-reviewed publications, and proposal material, and present results to sponsors and at conferences.
Co-advise and train graduate and undergraduate researchers

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