SIM Systems Engineer

Northrop Grumman•Jessup, MD

13d•$114,000 - $213,400•Onsite

About The Position

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have 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 Microelectronics Center (NGMC) is seeking Principal / Senior Principal System Integration Lab (SIL) Developer What you'll get to do: As a member of MOD/SIM team you will work on system performance analysis and system level modeling, based on the lower-level component and segment models produced by other teams. The System Level MOD/SIM engineering team will model the interactions (electrical, mechanical, thermal, digital, etc.)among the lower-level modelled components to analyze performance. The MOD/SIM team will also eventually model fabrication/factory performance, so an engineer with subject matter expertise in products such as FlexSim would be a welcome addition to the team This position will serve on-site in the greater Baltimore, MD area . This requisition may be filled as a Principal MOD/SIM Systems Engineer or Senior Principal MOD/SIM Systems Engineer. This position is contingent upon acquiring and maintaining the necessary US Government security clearance per customers' requirements.

Requirements

Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 5 years of experience with Bachelor's degree, 3 years of experience with Master's degree in STEM discipline, 1 years of experience with PhD in STEM discipline
Strong understanding of Systems Engineering fundamentals, principles, and processes
Ability to apply M&S expertise through technology processes, methodologies, standards, or frameworks
Demonstrated experience in applying STAT/DOE tools and methodologies in an integrated test environment
Expertise with various types of Modeling & Simulation tools, such as Python, MATLAB, COMSOL, FlexSim
Demonstrated experience with MBSE to include defining analysis with parametric diagrams and capturing different system configurations and performance values
This position requires the applicant to be a US Citizen
Current Active DoD Secret Clearance with the ability to obtain and maintain a TS/SCI w. Polygraph prior to start
Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 8 years of experience with Bachelor's degree, 6 years of experience with Master's degree in STEM discipline, 4 years of experience with PhD in STEM discipline

Nice To Haves

Active DoD TS/SCI clearance with a Polygraph clearance
STEM degree in mathematics, physics, or in EE, ME, or CE
General mathematical background in linear algebra and differential equations.
Background in statistics, including the application of statistical distributions, tests and theorems (hypothesis testing, goodness of fit, etc.) and Bayesian statistics
Experience performing model verification and validation as well as Verification and Validation
Hands-on proficiency with modeling and simulation tools, such as MATLAB, for detailed analysis, modeling or simulation
Familiarity with Project & Task Management tools: Jira or Confluence
Demonstrated history of successfully using model verification and validation as well as Verification and Validation to enable success at milestone test and demonstration events

Responsibilities

Work on system performance analysis and system level modeling, based on the lower-level component and segment models produced by other teams.
Model the interactions (electrical, mechanical, thermal, digital, etc.)among the lower-level modelled components to analyze performance.
Model fabrication/factory performance