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Vehicle Simulation Jobs in Washington, DC (NOW HIRING)

Senior GNC Engineer

Arlington, VA · On-site

$120K - $165K/yr

Develop GNC models and algorithms for implementation in aerospace vehicle simulations * Perform engineering trade studies to support GNC design and/or performance analysis * Support hardware-in-the ...

Senior GNC Engineer

Arlington, VA · On-site

$130 - $180/hr

Develop GNC models and algorithms for implementation in aerospace vehicle simulations * Perform engineering trade studies to support GNC design and/or performance analysis * Support hardware-in-the ...

Showing results 21-40

Vehicle Simulation information

See Washington, DC salary details

$12.5K

$76.6K

$137.6K

How much do vehicle simulation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vehicle simulation in Washington, DC is $76,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $90,000.00 per year, depending on experience, location, and employer.

What is vehicle simulation?

Vehicle simulation refers to the use of computer models and software to mimic the behavior, dynamics, and performance of vehicles in various scenarios. This technology allows engineers and designers to test and optimize vehicles without the need for physical prototypes, saving time and cost. Vehicle simulation can assess aspects such as safety, efficiency, and handling under different conditions, and is widely used in automotive, aerospace, and research industries. It plays a crucial role in the development of autonomous vehicles and advanced driver-assistance systems.

What are the key skills and qualifications needed to thrive as a vehicle simulation engineer?

To thrive as a Vehicle Simulation Engineer, you need a solid background in mechanical or automotive engineering, physics, and mathematics, often supported by a relevant degree. Familiarity with simulation software such as MATLAB/Simulink, CarSim, or ANSYS, and sometimes certification in these tools, is typically required. Strong analytical thinking, attention to detail, and effective teamwork and communication skills help you excel in this role. These competencies are essential to accurately model vehicle systems, validate designs, and collaborate across engineering teams to ensure vehicle performance and safety.

What are some common challenges faced in a vehicle simulation role, and how can I prepare for them?

Professionals in Vehicle Simulation often encounter challenges such as integrating complex real-world vehicle dynamics into virtual environments and ensuring simulation accuracy. You may also need to collaborate closely with cross-functional teams, including hardware engineers, software developers, and test drivers, to refine simulation models. Staying updated with the latest simulation software and automotive technologies is crucial, as is strong problem-solving ability to address unexpected simulation discrepancies. Building a solid foundation in physics, programming, and communication skills can help you succeed in this dynamic and evolving field.

What is the difference between Vehicle Simulation vs Vehicle Testing Engineer?

AspectVehicle SimulationVehicle Testing Engineer
Required CredentialsBachelor's in Mechanical, Automotive, or Software Engineering; proficiency in simulation softwareBachelor's in Mechanical, Automotive Engineering; experience with physical testing methods
Work EnvironmentPrimarily computer-based, using simulation software and modeling toolsLaboratories, test tracks, and vehicle testing facilities
Industry UsageUsed in automotive design, research, and development to predict vehicle behaviorInvolved in real-world testing to validate vehicle performance and safety
Common Search/ComparisonYesYes

Vehicle Simulation professionals focus on creating virtual models to predict vehicle behavior, while Vehicle Testing Engineers conduct physical tests to validate these models and ensure vehicle safety and performance. Both roles are essential in automotive development, often working together to optimize vehicle design and functionality.

What job categories do people searching Vehicle Simulation jobs in Washington, DC look for?

The top searched job categories for Vehicle Simulation jobs in Washington, DC are:

Simulation Software Engineer with Security Clearance

Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Description Are you a versatile developer who wants to apply modern software practices to solve critical, real-world challenges in strike weapon technology? Are you a software engineer who is naturally curious about how things work and loves collaborating with experts to build the right scientific computing solutions? If so, we're looking for someone like you to join our team at APL. The Strike Guidance, Navigation, Control, and Seekers group is looking for a Simulation Software Engineer to help us architect, develop, and modernize physics-based simulations across a wide-ranging set of programs. Our group's goal is to ensure the United States has a distinct technology advantage in autonomous systems by leading the next generation of development and prototyping. We do this by providing world class design solutions with a focus on: * Guidance, Navigation, and Controls
* Radio Frequency (RF) and Electro-Optical/Infrared (EO/IR) Sensors
* Modeling and Simulation (M&S)
* Hardware/Software Development & Test
* Multi-Disciplinary Design Optimization
We develop and apply simulations to explore these areas across a variety of systems including hypersonic missiles, submarines, cruise missiles, and autonomous flight vehicles. As a member of our team, you will apply advanced programming techniques and design skills to develop sophisticated simulations and algorithms in many or all of these domains. We are committed to developing exceptional talent and fostering a culture of innovation, and as part of our group, you will have a chance to grow your expertise across these technologies. As a Simulation Software Engineer, you will... * Develop physics-based models, algorithms, and simulations, applying modern software engineering practices and next-generation technologies to advance our capabilities.
* Work closely with our cross-disciplinary team of engineers as well as simulation architecture experts across the lab to design innovate solutions to critical challenges.
* Adapt simulations and algorithms to run on high-performance systems (such as cluster compute environments) or to integrate with test hardware. Qualifications You will meet our minimum qualifications for the job if you... * Have a BS in Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related field.
* Have professional experience developing simulations or other scientific computing applications using C++ or a similar language.
* Have proficiency with a high-level programming language such as Matlab/Simulink or Python.
* Have experience developing software both individually and as part of a collaborative team, applying standard software engineering practices such as version control, CI/CD, test development, and containerization.
* Are passionate about scientific computing and eager to learn domain-specific topics including guidance, navigation, control, and seekers.
* Are able to obtain an Interim Secret level security clearance by your start date and can ultimately acquire a Top Secret clearance. If selected, you will be subject to a government secret clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you... * Have an MS in Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related field.
* Have at least one year of professional experience developing simulations or other scientific computing applications using object oriented C++.
* Have experience developing physics-based kinematic simulations (i.e. 6DOF), IR and RF seeker simulations, or simulations involving GNC algorithms.
* Have experience designing, training, and deploying machine learning solutions to real-world problems, utilizing tools and frameworks such as TensorFlow or PyTorch.
* Have experience in one or more of the following areas: high performance computing (HPC); Nvidia CUDA or other GPU programming; FPGA programming; highly concurrent systems; signal processing; writing software that interfaces with embedded systems hardware or other hardware-in-the-loop (HIL) simulations.
* Are skilled developing software in both Linux and Windows environments using CMake and Visual Studio.
* Currently possess an active Secret security clearance with the ability to obtain a Top Secret clearance. #LI-AG1 About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $85,000 Annually Maximum Rate $195,000 Annually