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Director Modeling Simulation Engineer Jobs (NOW HIRING)

Staff Modeling & Simulation Engineer

San Jose, CA · On-site

$152.10K - $202.10K/yr

... simulations, including vehicle dynamics, powertrain, actuation, sensors, and environmental modeling. What you need: * Education: BS in an Engineering discipline required. MS or PhD in an Engineering ...

* Tier One Technologies is seeking a Radar Modeling & Simulation Engineer to support our U.S. Government client. * This 18-month on-site contract position will be located in Camden, NJ. * Must be a US ...

Staff Modeling & Simulation Engineer

San Jose, CA · On-site

$152.10K - $202.10K/yr

... simulations, including vehicle dynamics, powertrain, actuation, sensors, and environmental modeling. What you need: * Education: BS in an Engineering discipline required. MS or PhD in an Engineering ...

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Director Modeling Simulation Engineer information

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$39K

$123.4K

$190.5K

How much do director modeling simulation engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for director modeling simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Director Modeling Simulation Engineer, you need advanced expertise in systems engineering, computational modeling, and simulation development, typically supported by a degree in engineering or applied sciences and extensive industry experience. Familiarity with technical tools such as MATLAB, Simulink, C++, and modeling frameworks, as well as certifications like INCOSE CSEP or PMP, is common. Strong leadership, strategic thinking, and excellent communication skills help drive cross-functional teams and effectively present complex technical concepts to stakeholders. These abilities ensure successful project execution, innovation, and alignment of simulation efforts with organizational goals.

How does a Director Modeling Simulation Engineer typically collaborate with cross-functional teams to drive project success?

A Director Modeling Simulation Engineer often works closely with teams such as product development, systems engineering, and software engineering to ensure simulation models align with overall project goals. This role involves leading technical discussions, translating complex modeling requirements into actionable tasks, and providing guidance to ensure accuracy and integration of simulations within larger systems. Frequent collaboration may also include presenting findings to stakeholders, mentoring junior engineers, and coordinating with project managers to align timelines and deliverables. Strong communication and organizational skills are essential to facilitate effective teamwork and project outcomes.

What is a Director Modeling Simulation Engineer?

A Director Modeling Simulation Engineer is a senior-level leader responsible for overseeing the development and implementation of complex models and simulations, often within industries such as aerospace, defense, or engineering. This role involves managing teams of engineers and scientists, setting technical strategy, and ensuring that simulation tools meet organizational goals and project requirements. The director collaborates with other departments, ensures quality control, and often represents the modeling and simulation function to stakeholders. They are also involved in resource planning, budgeting, and mentoring junior staff. The position requires extensive technical expertise and leadership experience.

What is the difference between Director Modeling Simulation Engineer vs Modeling Simulation Engineer?

AspectDirector Modeling Simulation EngineerModeling Simulation Engineer
CredentialsTypically requires a bachelor's or master's degree in engineering, computer science, or related fields; often with leadership experienceRequires a bachelor's or master's degree in engineering, computer science, or related fields
Work EnvironmentLeads teams, manages projects, and collaborates with senior managementFocuses on developing and running simulations, working within engineering teams
Industry UsageUsed in aerospace, defense, automotive, and technology sectors for high-level simulation oversightCommonly employed in similar industries for technical simulation tasks

The main difference is that the Director Modeling Simulation Engineer oversees teams and strategic projects, while the Modeling Simulation Engineer focuses on technical simulation work. The director role involves leadership, project management, and higher-level decision-making, whereas the engineer role emphasizes hands-on simulation development and analysis.

More about Director Modeling Simulation Engineer jobs
What cities are hiring for Director Modeling Simulation Engineer jobs? Cities with the most Director Modeling Simulation Engineer job openings:
What are the most commonly searched types of Modeling Simulation Engineer jobs? The most popular types of Modeling Simulation Engineer jobs are:
What states have the most Director Modeling Simulation Engineer jobs? States with the most job openings for Director Modeling Simulation Engineer jobs include:

Modeling & Simulation Engineer- Clearance Required

LMI Government Consulting (Logistics Management In

Colorado Springs, CO

Other

Posted 2 days ago


Job description

Overview
LMI is seeking a Mid-Level Modeling & Simulation Engineer with deep expertise in physics and theoretical modeling to join our dynamic team focused on the space domain. In this role, you will leverage advanced physics principles to develop, simulate, and analyze complex space infrastructure systems including satellite constellations, ground stations, orbital networks, and resilient architectures. Your work will directly inform analytical recommendations for future force design decisions and optimizing space capabilities for mission effectiveness, survivability, resiliency, and strategic superiority.
This position is perfect for an analytical thinker who thrives on applying rigorous theory to real-world space challenges, using data-driven simulations to guide high-stakes decisions in defense and national security space sectors. This is an on-site role in Colorado Springs, CO.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change.
Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Design and implement physics-based models for space infrastructure, incorporating orbital dynamics, electromagnetic propagation, sensor phenomenology, environmental effects, and multi-domain interactions.
  • Conduct high-fidelity simulations and analyses of space systems, evaluating performance under various scenarios (e.g., nominal operations, contested environments, debris fields).
  • Develop analytical frameworks to assess system vulnerabilities, trade-offs, and optimization opportunities, using tools like Monte Carlo methods, sensitivity analysis, and uncertainty quantification.
  • Translate simulation results into actionable recommendations for force design, including architecture enhancements, resource allocation, and capability gaps.
  • Collaborate with software engineers, data scientists, and decision-makers to integrate models into broader analytical pipelines and decision-support systems.
  • Build and maintain scalable simulation environments, ensuring models are computationally efficient and validated against empirical data.
  • Perform data analysis on large datasets from simulations, telemetry, or open-source intelligence to derive insights and visualize outcomes.
  • Contribute to technical reports, briefings, and strategic recommendations for stakeholders, including potential publication or presentation at industry conferences.
  • Mentor junior team members and help shape best practices in space-domain physics modeling.

Qualifications
Required:
  • B.S. in Physics, Applied Physics, Aerospace Engineering, Operations Research, or a related field with a strong emphasis on theoretical modeling.
  • At least 4+ years of experience in space-related modeling, simulation, and analysis (industry, national lab, government, or advanced research settings).
  • Strong expertise in physics and theory relevant to space: orbital mechanics, astrodynamics, electromagnetics, radiation effects, satellite communications (ground and space-based), position, navigation, and timing (PNT) systems, and systems engineering principles.
  • Demonstrated ability to abstract theoretical concepts into practical models, simulations, and analytical frameworks that drive decision-making.
  • Experience with simulation tools such as STK (Systems Tool Kit), GMAT, FreeFlyer, AFSIM, or custom-built propagators.
  • Familiarity with force design concepts, mission analysis, or wargaming in space or multi-domain operations.
  • Strong problem-solving skills and the ability work independently with limited, if any, technical definition of analytical problems.
  • Excellent communication and teamwork abilities.

Desired:
  • Advanced degree (M.S. or Ph.D.) in Physics, Applied Physics, Aerospace Engineering, Operations Research, or a related field with a strong emphasis on theoretical modeling.
  • Background in space domain infrastructure analysis, including constellation design, coverage modeling, or resilience assessments.
  • Experience with advanced techniques like physics-informed machine learning, agent-based modeling, or game theory for strategic recommendations.
  • Knowledge of high-performance computing (HPC), parallel processing, or cloud-based simulation environments (e.g., AWS, Azure).

Security Clearance Requirements:
Candidate must possess an active TS/SCI or TS with SCI eligibility clearance and a willingness to obtain a CI Poly.
Target salary range: $92,100 - $160,000
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Applicants must meet eligibility requirements for a U.S. Government security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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