
Designs and manufactures systems for aeronautics, defense, missions, and space.
Multidisciplinary Design Analysis and Optimization (MDAO) Engineer 3/4 (AHT)
必备技能
Python
RELOCATION ASSISTANCE: Relocation assistance may be available
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.
Northrop Grumman Defense Systems is looking for a Multidisciplinary Design Analysis and Optimization (MDAO) Engineer 3 or 4 to be an integral part of our multi-discipline engineering team for Advanced Weapons located in Northridge, CA.This will be 100% on-site at our Northridge, CA location.
Here at Advanced Weapons, you will be at the forefront of developing next generation solutions to protect technology for our nation’s warfighters. This position will require strong understanding of the impacts from changes in the system level requirements and architecture to the design and performance of the vehicle, to optimize the vehicle’s performance and meet potential objectives for the customer.
The MDAO Engineer plays a critical role in the design, analysis, and optimization of complex engineering systems. This position integrates advanced computational methods and engineering principles from multiple disciplines, ensuring that designs meet performance, cost, and safety requirements in an efficient and robust manner.
Roles & Responsibilities:
A successful candidate will have the qualities and essential functional expertise to:
- Develop and execute multidisciplinary analysis and optimization (MDAO) studies for diverse air vehicle concepts using advanced problem-solving tools.
- Apply Python programming skills and proficiency with frameworks such as OpenMDAO for model integration and trade study automation.
- Implement and run trajectory optimization analyses utilizing tools such as Taos, Dymos, or similar platforms.
- Design and analyze systems architectures, supporting rapid assessment and iteration of concepts through trade studies and performance sensitivity analyses.
- Model aerodynamic, propulsion, and general vehicle subsystems (including sensors, warheads, etc.) to support end-to-end system simulation.
- Leverage statistical and gradient-based optimization techniques (e.g., SNOPT, IPOPT) to solve complex, constrained engineering problems.
- Communicate highly technical analysis findings and recommendations effectively to senior leaders and non-technical stakeholders.
- Collaborate with multidisciplinary teams to integrate analytical models and support program decision making.
- Exhibit excellent organization and leadership skills
- Demonstrate adaptability and eagerness to work on rapidly evolving projects and priorities.
- Be a self-starter with strong organizational skills and a collaborative mindset.
Basic Qualifications MDAO Engineer Level 3:
- Bachelor’s degree with a minimum of five (5) years of MDAO or related engineering roles within aerospace, defense, or closely aligned industries OR a Master’s Degree with three (3) years of experience OR a PhD with one (1) year of experience
- Experience with aircraft or weapon design, layout, sizing and performance analysis tools with 6 -DOF simulations
- Strong code development on Linux/Windows using MATLAB, scientific Python (e.g., numpy, scipy), C++
- Strong foundation in systems architecture and rapid trade study analysis methods.
- Experience in statistical analysis and optimization, with emphasis on gradient-based methods and use of solvers (SNOPT, IPOPT, etc.).
- Strong communication skills to communicate complex technical information clearly to senior leadership and multi-disciplinary audiences.
- Ability to obtain a US Government Secret security clearance
Basic Qualifications MDAO Engineer Level 4:
- Bachelor’s degree with a minimum of eight (8) years of MDAO or related engineering roles within aerospace, defense, or closely aligned industries OR a Master’s Degree with six (6) years of experience OR a PhD with four (4) years of experience
- Experience with aircraft or weapon design, layout, sizing and performance analysis tools with 6 -DOF simulations
- Strong code development on Linux/Windows using MATLAB, scientific Python (e.g., numpy, scipy), C++
- Strong foundation in systems architecture and rapid trade study analysis methods.
- Experience in statistical analysis and optimization, with emphasis on gradient-based methods and use of solvers (SNOPT, IPOPT, etc.).
- Strong communication skills to communicate complex technical information clearly to senior leadership and multi-disciplinary audiences.
- Ability to obtain a US Government Secret security clearance
Preferred Qualifications:
- Current Active Secret clearance or higher with a Periodic Reinvestigation within the last five (5) years.
- Proven Weapon Systems Modeling experience
- Familiar with military aircraft or weapon design principles and tools
Primary Level Salary Range: $110,300.00 - $165,500.00
Secondary Level Salary Range: $137,400.00 - $206,000.00
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 http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
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关于Northrop Grumman

Northrop Grumman
PublicNorthrop Grumman Corporation, headquartered in West Falls Church, Virginia, is an American aerospace and defense company that designs and manufactures systems for aeronautics, defense, missions, and space. The company is the 5th largest contractor of the U.S.
10,001+
员工数
Falls Church
总部位置
$64B
企业估值
评价
3条评价
3.0
3条评价
工作生活平衡
3.5
薪酬
3.2
企业文化
3.0
职业发展
3.5
管理层
2.8
45%
推荐率
优点
Good benefits
Decent pay/compensation
Supportive management/boss
缺点
Low compensation for entry-level
Unfulfilling work
Difficult management/leadership
薪资范围
0个数据点
Junior/L3
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist
0份报告
$89,312
年薪总额
基本工资
-
股票
-
奖金
-
$75,865
$102,759
面试评价
3条评价
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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