Northrop Grumman Software Engineer - Machine Learning in Melbourne, Florida
Northrop Grumman Aerospace Systems has an opening for a Software Engineer Machine Learning to join our team of qualified, diverse individuals. This position will be located in Melbourne, Florida.
The candidate will be responsible for performing data reduction from a weapon truth data set to a representation that may be used on an aircraft to generate the Launch Acceptability Region (LAR) and Time of Flight (TOF) to the target.
The truth data set is a large collection of points, with each point representing conditions under which the aircraft may release the weapon (altitude, winds, etc.) and whether or not the weapon can successfully engage the target under those conditions.
Data reduction must be performed so that a computationally efficient algorithm may be used to operate on a compact data set to generate a reasonable approximation of the LAR and TOF.
The candidate will also evaluate the statistical quality of the LAR's and TOF's generated from the compact representation with the original truth data set. If the generated LAR's and/or TOF's do not meet the desired criteria, the candidate will analyze the results, identify possible root causes for the deficiencies, and improve the data reduction algorithm and/or settings to produce a better compact representation. Lastly, the candidate will document the final LAR and TOF modeling performance statistics in the LAR Accuracy Report (LAR AR)
Bachelor's Degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 2+ years of software engineering experience OR a
Master's Degree in Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 0 years of software engineering experience
Experience with at least one of these:
Python programming and Object-oriented programming (OOP
Modeling the dynamics of a vehicle or weapon, i.e. 6 degree of freedom (6DOF).
UAI Common LAR methodologies.
Developing/conducting sensitivity studies, developing/conducting covariance analysis.
Ability to obtain and maintaina DoDSecret level clearance
Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering
Strong C++ skills and OS knowledge
Experience in Python programming and Object-oriented programming (OOP)
Familiar with modeling the dynamics of a vehicle or weapon, i.e. 6 degree of freedom (6DOF).
Familiarity with the UAI Common LAR methodologies. Developing/conducting sensitivity studies, developing/conducting covariance analysis.
Excellent communication, interpersonal skills, and the ability to interface with all levels of employees and management
Able to prioritize and adjust tasks to accomplish the project result
Ability to comprehend and analyze complex problems and develop solutions
Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO . U.S. Citizenship is required for most positions.
Job Category : Engineering