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

Basic Qualifications

• BS or MS in electrical engineering, mechanical engineering, aerospace engineering, physics, computer science, applied mathematics, or similar STEM degree.
• Candidate should be fluent in MATLAB, python, and c++
• Candidate should have relevant experience or exposure to Navigation Algorithm Development. Areas 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)
• Candidate should have relevant experience or exposure to Inertial Tracking Algorithm Development. Areas 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)
• Experience with 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.

E2335:

Guidance, Nav & Ctrl Eng Sr Stf

Lockheed Martin is a global security and aerospace company that employs approximately 114,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration, and sustainment of advanced technology systems, products, and services. Lockheed Martin Missiles and Fire Control (MFC) is one of four Lockheed Martin business areas.

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world s most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility.

Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours.

We are seeking an domain expert Guidance and Control (GNC) Engineer who will join a highly skilled team of systems engineering technologists and algorithm developers who design, development, and deployment of embedded algorithms that perform inertial tracking, inertial navigation and/or sensor fusion within Missiles and Fire Control.

What You Will Be Doing

• GNC Engineer tasks include:
• Designing, integrating and testing algorithms in the aforementioned technology areas for both missile and fire control products. They will be involved with the development of complex models and simulations to aid in algorithm development and validation. The engineer will be responsible for evaluating system performance in complex scenarios and environments as well as verifying system and subsystem level requirements. The engineer should be comfortable with developing and presenting technical material to brief internal leadership and external customers.
  
  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…