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Job description
RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time
Description
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.
What You’ll Get To Do
Develop and maintain physics-based models and simulations of inertial navigation systems (INS), including sensors (e.g., gyros, accelerometers), error sources, and environmental effects.
Perform Monte Carlo analyses, sensitivity studies, and trade off analyses to assess system performance, robustness, and margins against requirements.
Analyze lab, flight, and field test data to validate models, quantify performance, and identify discrepancies between predicted and observed behavior.
Support requirements decomposition by providing model-based performance predictions, error budgets, and allocation rationale for key inertial navigation metrics.
Generate and maintain simulation frameworks and toolchains (e.g., MATLAB/Simulink, Python, C/C++ models) that can be reused across programs and product lines.
Collaborate closely with systems, hardware, and software engineering teams to integrate models into hardware in the loop (HIL) and software in the loop (SIL) environments, enabling early verification of navigation algorithms and interfaces.
Contribute to test planning by defining model informed test cases, corner conditions, and stress scenarios to verify navigation performance and robustness.
Analyze test and qualification results, perform root cause investigations on anomalies, and provide data driven recommendations for design updates or calibration strategies.
Prepare technical documentation and artifacts including modeling assumptions, validation reports, analysis briefs, and executive level presentations summarizing navigation performance, risks, and mitigation options.
Provide technical guidance and mentorship to junior engineers in modeling, simulation, and data analysis methods; promote best practices and knowledge sharing across disciplines.
Drive continuous improvement in MS&A processes, tools, and standards for inertial navigation products, including model re use, configuration management, and lessons learned documentation.
This position may be filled as a Principal Aerospace Engineer or Senior Principal Aerospace Engineer .
Basic Qualifications For Principal Aerospace Engineer
Bachelor’s degree in a STEM discipline plus 5 years of relevant experience; Master’s degree in a STEM discipline plus 3 years of relevant experience; PhD in a STEM discipline plus 1 year of relevant experience.
Demonstrated experience in modeling, simulation, and analysis for complex systems.
Proficiency with modeling and analysis tools such as MATLAB/Simulink and Python (or comparable environments).
Experience processing and analyzing sensor or navigation data sets (e.g., IMU logs, flight test data, lab data).
Strong analytical and problem-solving skills; able to interpret complex data and generate actionable insights for design decisions and risk reduction.
Excellent written and verbal communication skills, capable of clearly presenting technical findings to both technical and non-technical audiences.
Collaborative team player who actively contributes to cross functional projects.
Meticulous attention to detail with a commitment to high quality, reliable work.
Agile and adaptable, thriving in fast changing, fast paced environments.
U.S. Citizenship required.
A current/active U.S. Government Secret clearance is required.
Availability to work onsite full-time in Woodland Hills, California.
Basic Qualifications For Senior Principal Aerospace Engineer
Bachelor’s degree in a STEM discipline plus 8 years of relevant experience; Master’s degree in a STEM discipline plus 6 years of relevant experience; PhD in a STEM discipline plus 4 years of relevant experience.
Demonstrated experience in modeling, simulation, and analysis for complex systems.
Proficiency with modeling and analysis tools such as MATLAB/Simulink and Python (or comparable environments).
Experience processing and analyzing sensor or navigation data sets (e.g., IMU logs, flight test data, lab data).
Strong analytical and problem-solving skills; able to interpret complex data and generate actionable insights for design decisions and risk reduction.
Excellent written and verbal communication skills, capable of clearly presenting technical findings to both technical and non-technical audiences.
Collaborative team player who actively contributes to cross functional projects.
Meticulous attention to detail with a commitment to high quality, reliable work.
Agile and adaptable, thriving in fast changing, fast paced environments.
U.S. Citizenship required.
A current/active U.S. Government Secret clearance is required.
Availability to work onsite full-time in Woodland Hills, California.
Preferred Qualifications
Master’s degree or PhD in a STEM field, particularly in Aerospace Engineering, Electrical Engineering, Physics, Applied Mathematics, or related technical management.
Experience with inertial navigation systems (INS), IMU modeling, navigation algorithms, or closely related estimation or control systems.
Experience with Guidance, Navigation & Control (GNC), Kalman filtering, state estimation, or sensor fusion algorithms.
Experience integrating, validating, or troubleshooting software and simulation models within hardware environments (HIL, SIL, laboratory integration, or equivalent).
Experience with C/C++ or Python to support algorithm development or system integration.
Proven track record supporting program milestones such as SRR, SFR, PDR, and CDR, with specific contributions from modeling and analysis.
Primary Level Salary Range: $114,000.00 - $171,000.00
Secondary Level Salary Range: $142,200.00 - $213,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity 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 and pay transparency statement, please visit " U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
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Worksite address
los angeles, CA, 90079, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.