Reentry Systems Modeling and Simulation Engineer

Description

Are you interested in using cutting edge models to simulate complex mission modeling in hostile environments? Do you want to become an expert in hypersonic and reentry system design and prototyping? Do you want to make contributions that accelerate the readiness of our Nation's defenses to support next generation hypersonic and reentry systems? If so, we're looking for someone like you to join our team at APL.

We are seeking an Engagement Modeling Engineer to help us enhance and apply modeling & simulation tools for state‑of‑the‑art strategic systems. As a member of our team, you'll be making critical contributions to develop next‑generation systems and maintain the strategic advantage of our Nation. You will be joining collaborative teams of engineers who work together to provide impactful solutions to system‑level objectives and challenges.

We are passionate about innovation and our team is committed to providing engaging, challenging work and supporting continued learning and development.

• Simulate mission level engagement scenarios using tools such as AFSIM
• Model emerging threats using the latest technologies and models available
• Develop and enhance models and simulations to enable next‑generation strategic systems to survive hostile environments
• Help optimize software to take full advantage of modern hardware
• Own and maintain various software that model complex flight systems
• Produce analyses and presentations to communicate findings to team members, external organization partners, and government sponsors

You meet our minimum qualifications for the job if you…

• Have a Bachelor's degree in Computer Science, Aerospace Engineering, Physics, or a related field
• Have 5+ years of relevant experience
• Have experience working with or developing modeling and simulation tools using numerical methods
• Have experience with C/C++, Python, MATLAB, and/or other high‑performance scientific languages
• Are proficient in standard software engineering practices including version control (e.g., git)
• Are able to obtain a Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security 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 a Master’s degree in Computer Science, Aerospace Engineering, Physics, or a related field
• Have experience with engagement modeling software such as AFSIM, including writing plugins and extensions
• Have some experience with threat and/or engagement scenario modeling and simulation
• Have experience with HPC or GPGPU programming
• Are familiar with radar signature/RCS modeling and simulation
• Are familiar with EO/IR modeling and simulation
• Have experience binding lower‑level languages (C/C++) to higher‑level languages (MATLAB/Python)
• Hold an active Secret or higher level clearance

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 http://(Use the "Apply for this Job" box below)..

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…