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Northrop Grumman · 4 days ago

Manager Systems Engineering 2 – Algorithm Development Optimization - R10214710

Melbourne, FL

Part-time

Onsite

Senior Level

$139K/yr - $209K/yr

7+ years exp

Northrop Grumman is a leading aerospace and defense company that offers revolutionary systems impacting lives globally. They are seeking a Manager Systems Engineering 2 for Algorithm Development Optimization to drive advancements in technology, focusing on both functional management and individual contributions within their Model Based Test & Evaluation team.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Help the team understand the T&E organization's vision and principles

Build a culture that empowers and motivates individual excellence

Establish functional homeroom shared accountability for program/project performance

Ensure projects are completed on schedule and within budget

Perform technical planning and cost and risk analyses for total systems

Work closely with the Department Manager and fellow section managers to implement department initiatives

Ensure successful planning and execution of program test engineering activities

Collaborate with programs to satisfy staffing needs and provide operations support (incident investigations, metrics collection and analysis, etc.)

Set goals and provide regular performance feedback to employees

Support the annual salary review and promotion process

Mentor and develop the next generation of technical and project leadership

Improve and enforce test engineering processes and procedures

Developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests

Identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually

Proactively identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually

Collaborating regularly with Program Management, external suppliers, and government customers

Leveraging technical expertise to address complex integration challenges

Qualification

Model uncertainty analysisError modelingError propagationPythonMATLABModern C++Design of ExperimentsDesign optimizationTechnical leadershipCollaborationMentoring

Required

Bachelor of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university with 9 years of relevant experience; OR Master of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university with 7 years of relevant experience; OR PhD in a Science, Technology, Engineering or Mathematics discipline from an accredited university with 4 years of relevant experience

Your ability to transfer and maintain the final adjudicated government Secret clearance (DoD must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time, as determined by the Company

Demonstrated knowledge and experience in model uncertainty analysis, error modeling, and error propagation

Proficiency in statistical software