Job Description :
Seeking an experienced individual to lead a diverse algorithm development team for an airborne infrared fire control system used for surveillance and target tracking. The task involves coordinating the development of inertial target tracking algorithms as well as image processing and inertial navigation algorithms.
You should have significant experience designing algorithms for target tracking and/or navigation transfer alignment.
This involves working with the customer and management to define flight scenarios in order to verify system performance.
You will lead a team of algorithm developers and performance analysis engineers to analyze the flight data, develop algorithm improvements to enhance performance and demonstrate performance against the requirements.
Working knowledge of optimal estimation including Kalman filter design is required as well as an understanding of image processing techniques for target detection and discrimination.
You will also be responsible for coordination of performance results and algorithm design improvements with the customer and program management.
The algorithm development lead will serve as a point of contact for overall system performance and provide technical guidance to the team.
At Lockheed Martin, you’ll have an opportunity to create a better world every day. For most individuals, our work challenges belong merely to headlines and tweets.
But our employees routinely experience a broad range of programs and projects, each geared to important human needs. Whatever your assignment, you’ll use your education and experience to take on formidable challenges.
Meanwhile, you can rely on the resources of a global technology leader to back the kind of innovation that has characterized our historic breakthroughs.
Must have experience with feedback control system design and analysis and knowledge of basic aerodynamic principles. Strong math skills are required in the areas of linear algebra, matrix math, statistics, and trigonometry and coordinate transformation.
The candidate must have experience with state estimation filters such as Kalman, Extended Kalman filter (EKF) and multiple model adaptive estimation.
Experience in terrestrial navigation and navigation state error estimation is also required. Must be experienced in MATLAB and C/C++ programming.
Must have a secret clearance with an investigation within the last 5 years.