Guidance, Nav & Control Engineer, Staff - Orlando, FL

Lockheed Martin•Orlando, FL

17h•Onsite

About The Position

Lockheed Martin Missiles and Fire Control (MFC) is seeking a seasoned experienced Guidance and Control (GNC) Engineer to join a highly skilled team of engineering technologists and algorithm developers supporting a new space-based sensor contract. The role involves designing, developing, and deploying embedded algorithms for inertial tracking, navigation, and sensor fusion, as well as developing and validating complex models and simulations. The engineer will evaluate system performance, verify requirements, and support ground and flight test efforts, including Hardware-In-The-Loop (HWIL) activities. Opportunities exist to join small teams on various programs in different stages of product development, and to support program reviews and technical interchange meetings with internal leadership and external customers.

Requirements

BS in electrical engineering, aerospace engineering, physics, computer science, applied mathematics, or similar STEM degree and 5+ years of experience.
Candidate should be fluent in MATLAB, python, and C++
Candidate should have relevant experience to Navigation Algorithm Development which may include: (Inertial navigation, strapdown navigation, attitude and velocity keeping, advanced GPS signal processing techniques, magnetic nav, star-tracking, visual navigation, covariance analysis, transfer alignment with a host platform, boresight/calibration modeling and estimation, inertial sensor selection and performance modelling)
or candidate should have relevant experience to Inertial Tracking Algorithm Development which may include: (Extended and Unscented Kalman filtering, non-linear state estimation, Gaussian mixture models, information filtering, particle filtering, multi-hypothesis tracking, Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking, feature-aided tracking, image tracking, integrated multi-model tracking, low-SNR target tracking, inertial attitude and line-of-sight estimation, contextual data fusion, scene-based event detection, supervised and unsupervised machine learning, object classification, kinematic and radiometric feature estimation, hypothesis testing, Monte Carlo methods.)
Have experience implementing and debugging GNC algorithms running in a real-time environment and experience processing instrumented real-time system data.
Candidate must be proficient in developing and validating C++ algorithm simulations and hardware models with real-time data collections.
Interim Secret Clearance is needed to start, therefore you must be a US Citizen.

Nice To Haves

Active Secret Clearance.
Proficiency in MATLAB
Experience with linear algebra software packages
Strong programming skills that can translate to C++ development in a Linux environment
Experience deploying algorithms that satisfy real-time performance requirements
Knowledge of electro-optical/infrared detection technology, optics, and principles of radiometry
Familiarity with clutter rejection techniques
Knowledge and experience with Modelling and Simulation of EOIR system

Responsibilities

Design, develop, and deploy embedded algorithms that perform inertial tracking, inertial navigation and/or sensor fusion
Develop, verify, and validate both complex models and simulations that utilize match filters, convolutional neural networks, and other such techniques to detect targets of interest.
Evaluate system performance in complex scenarios and environments and verify system and subsystem level requirements
Perform critical studies, analyses, and test activities that support ground and flight test efforts including Hardware-In-The-Loop (HWIL) activities
Support program reviews and technical interchange meetings with internal leadership and/or external customers