Machine Learning Software Engineer 2

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems in air and space that impact people's lives around the world today, and for generations to come. Our work preserves freedom and democracy, and advances human discovery and our understanding of the universe. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have a lot of fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Aerospace Systems has an opening for a Machine Learning Software Engineer 2 to join our team of qualified, diverse individuals. This position will be located in Melbourne, Florida.

The selected candidate will develop and implement software integration plans in a lab environment supporting various space, aircraft, and ground systems.

Essential Functions:

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. To that end, 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).

Basic Qualifications:

  • Bachelor's Degree in a Science, Technology, Engineering or Mathematics discipline from an accredited university and 2 years of software engineering experience OR
  • Master's Degree in STEM and 0 years of software engineering experience
  • Experience developing software / writing code in Java, C , C# or other OOP languages
  • An active in-scope DoD Secret or Top Secret clearance
  • The ability to obtain program access

Preferred Qualifications:

  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, or Electrical Engineering
  • Familiar with modeling the dynamics of a vehicle or weapon, i.e. 6 degree of freedom (6DOF).
  • Developing/conducting sensitivity studies, developing/conducting covariance analysis. Familiarity with the UAI Common LAR methodologies.
  • 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.

o 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.

o 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 evaluate the statistical quality of the LAR's and TOF's generated from the compact representation with the original truth data set.
  • 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.
  • Excellent 2-way communication skills (upward and downward)
  • Excellent communication, interpersonal skills, and the ability to interface with all levels of employees and management
  • Active, In scope DoD Top Secret or SCI clearance

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.


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