Basic Qualifications
- BS Degree in Mathematics, Physics, Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent STEM field with 5 years experience or 3 years experience with a Masters Degree or 0 years experience with a Doctorate Degree
- Demonstrated Ability in root cause analysis, problem solving skills, and statistical analysis
- Demonstrated Ability in scripting languages such as Python and/or MATLAB
- Demonstrated written and verbal communication skills
- Ability to work in a collaborative and team-based environment
- Ability to obtain & maintain a DoD security clearance at the SECRET level. U.S. Citizenship required.
Job Code/Title
RSME87:Sr Member Eng Stf
Job Description
What We're Doing
As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you’re looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you.
The Work
Lockheed Martin Rotary & Mission Systems is seeking a full-time Mid-career Systems Engineer. You will participate in design, development, integration, and testing of new capabilities for several Department of Defense (DoD) products and technologies. You will use and contribute to models of real-world weapons, radars, Command & Control systems. You will independently identify and address system and software defects, demonstrate an ability to practice sound systems and software engineering discipline, and decompose complex problems to formulate solutions.
In this role you will use mathematical models and simulation products to perform mission analysis, ConOps development, gap analysis, sensitivity and trade studies, system requirements validation, and performance prediction in Ballistic Missile Defense and Anti-Air Warfare mission areas.
The successful candidate will have experience and/or knowledge of Python/MATLAB scripting languages, engineering root cause analysis methods, and data analytics/statistical techniques.
Must be a US Citizen. This position will require a government security clearance. This position is located at a facility that requires special access.
Who We Are
Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Mount Laurel, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicated to pushing the boundaries of what's possible.
Learn more about IWSS
Why Join Us
Your Health, Your Wealth, Your Life
Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.
Learn more about Lockheed Martin's comprehensive benefits package here!
#rmshotmiljobs
Desired Skills
- Demonstrated knowledge of Agile Development Process
- Demonstrated knowledge of Static and Dynamic Systems
- Demonstrated knowledge of Statistics, Monte Carlo Analysis, and distributed simulation techniques
- Demonstrated knowledge of Data Science Principles
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Select the Telework classification for this position
Employee will work on-site full-time
Shift
First
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Work Schedule
4x10 hour day, 3 days off per week
Security Clearance Information
This position requires a government security clearance, you must be a US Citizen for consideration.
Security Clearance
Secret
LMCareers Business Unit
RMS
Department
XECTS5:Sys of Sys Eng
Job Class
Systems Engineering: Models and Simulations
Job Category
Experienced Professional
City, State
Mount Laurel-NJ
City
Mount Laurel
Zip
08054
Virtual
no
Relocation/Housing Stipend Available
Possible
Req Type
Full-Time
Direct/Indirect
Direct
- At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.
EEO
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.