Lockheed Martin Missile Fire Control Engineer / Grand Prairie, TX in Grand Prairie, Texas

Description: Lockheed Martin is looking for mid to senior engineers to work on the fire control system of the premier missile defense system currently saving lives around the world. This program is part of our Air and Missile Defense portfolio at our Missiles and Fire Control location in Grand Prairie, TX, a world leader in missile defense systems.

Develop, improve and implement ground system and fire control algorithms to optimize system performance. Analyze data from digital simulations, hardware-in-the-loop labs, and missile flight tests. Be part of a high-performing team with a track record of mission success against continually evolving threats.

This position requires an active Secret clearance and experience programming in Matlab, Fortran, or C++.

Come put your expertise to work pushing the boundaries of missile technology on products that make a difference.



Basic Qualifications:

Proficient with Matlab, Fortran or C++.

Final Secret clearance prior to start.

Desired Skills:

Experience with missile fire control, engageability algorithms, Kalman filters, target state estimation, and multi-variable regression.

Experience with Monte Carlo analysis and performance simulations of aircraft or missile systems.



Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.

Join us at Lockheed Martin, where we’re engineering a better tomorrow.


Experienced Professional