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Modeling And Simulation Jobs in Raleigh, NC (NOW HIRING)

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181K/yr

Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The ...

ESSENTIAL FUNCTIONS: • Lead power electronics design and development, taking full ownership of assigned tasks or projects. • Design, model, simulate, and develop power electronics, including ...

ESSENTIAL FUNCTIONS: • Lead power electronics design and development, taking full ownership of assigned tasks or projects. • Design, model, simulate, and develop power electronics, including ...

... modeling, plant and controls simulation, and virtual analysis workflows across products such as UPS systems, power electronics converters, industrial drives, and datacenter power-distribution ...

Creating LTspice simulation models. * Maintaining and debugging existing models, working closely with the Modeling Team. * Special projects involving technology improvements to our tools and ...

Creating LTspice simulation models. * Maintaining and debugging existing models, working closely with the Modeling Team. * Special projects involving technology improvements to our tools and ...

Tegra System Software Engineer

Durham, NC · On-site

$167K - $198K/yr

Heavily involved with the early modeling simulation required to produce our outstanding products. * Working closely with the hardware, silicon, pre-silicon teams to bring-up new platforms, products ...

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Modeling And Simulation information

See Raleigh, NC salary details

$37.9K

$98.4K

$140K

How much do modeling and simulation jobs pay per year?

As of Jul 11, 2026, the average yearly pay for modeling and simulation in Raleigh, NC is $98,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $125,900.00 per year, depending on experience, location, and employer.

What jobs use simulation training?

Modeling and Simulation jobs are common in fields such as aerospace, defense, healthcare, and manufacturing, where professionals use simulation software and tools to train, test, or analyze systems. These roles often require skills in programming, data analysis, and understanding complex systems, with certifications in simulation software or related fields enhancing employability.

How to get into 3D modeling as a career?

To pursue a career in 3D modeling, develop skills in software such as Blender, Maya, or 3ds Max through online courses or formal education. Building a strong portfolio showcasing your work and gaining experience through internships or freelance projects are essential steps to enter the field.

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, and why are they important?

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership or managerial responsibilities.

Are simulation engineers in demand?

Simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in modeling complex systems and using tools like MATLAB and Simulink. The growing reliance on digital twins, virtual testing, and advanced modeling techniques has increased employment opportunities for these professionals.

What are modeling and simulation jobs?

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 are popular job titles related to Modeling And Simulation jobs in Raleigh, NC? For Modeling And Simulation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation jobs in Raleigh, NC look for? The top searched job categories for Modeling And Simulation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Modeling And Simulation jobs? Cities near Raleigh, NC with the most Modeling And Simulation job openings:

Senior Research Engineer - AI/ML

Berriehill Research

Raleigh, NC

$181K/yr

Full-time

Re-posted 5 days ago


Job description

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer for the development of advanced AI/ML algorithms for the Intelligence and Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist / engineer will join a multi-disciplinary collaborative team of engineers and scientists.

We are seeking an experienced Research Engineer to join our team. The ideal candidate will have an active interest in applying math/statistics/physics/engineering concepts to solve multi-disciplinary problems. Candidate will have strong analytical skills and will be capable of translating ideas and proposed solutions into software tools and algorithms. The candidate should be familiar with improving/optimizing/tuning existing algorithms as well as development of new algorithms from scratch. This will include software design, software development, and debugging / issue resolution. The candidate should demonstrate a hands-on approach to problem solving and must be willing to actively participate in evaluation of algorithm and system performance. Strong critical thinking, problem solving, and debugging skills are required.

Scientists / engineers who are passionate about applying their expertise to solve problems of national importance, have a strong entrepreneurial spirit, and are seeking opportunities for personal and professional growth in a stable environment are strongly encouraged to apply.

Senior Research Engineer – AI/ML Position Requirements:

  • U.S. Citizenship (No exceptions; green card holders are not eligible)
  • Current TS/SCI clearance or TS/SCI eligible
  • BS in Engineering, Computer Science, Physics, Mathematics, or a related field with 10-12 years of relevant work experience
  • Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer vision, and intelligent agents
  • Strong foundation in software development and experience with Python, Java, and/or C++
  • Experience going from problem statement to prototype to production-ready algorithms
  • Strong communication and collaboration skills, capable of working effectively in a dynamic, team-oriented environment

Senior Research Engineer – AI/ML Preferences:

Above all, we value passion, a continuous desire to learn, and teamwork. We are confident that if you possess the right attitude, work ethic, and skill set, you will succeed in the role. In addition to the experience and skills above, if you have any of the following, you will be able to accelerate your effectiveness and impact.

  • PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field
  • Experience in cloud-based, parallel, or distributed computing.
  • Experience developing generative AI, agentic AI, and/or LLM-based systems
  • Experience leading small teams of researchers and engineers
  • Experience with proposal development and sponsor interactions
  • Ability and desire to quickly learn new domains.

Who is ARA?  

Do you want to work for a purpose? Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company. We have been providing technically superior solutions to complex and challenging problems in the physical sciences since 1979. ARA has over 2,200 employee-owners and continues to grow rapidly. Together, our offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. 

ARA also prides itself, on having a challenging culture where innovation & experimentation are the norm. The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. Employee ownership ensures you have a voice in what happens in the company. We are also very proud of our Women’s Initiative Network (WIN), whose purpose is to motivate, support, and encourage professional career development for women to maximize career and professional accomplishments.  

To find out more about what the Software Enterprise Division has to offer, visit our website at: https://www.ara.com/benefits/