Design Optimization Engineer

"True optimization is the revolutionary contribution of modern research to decision processes. - George Dantzig."

Job Summary:
Here at The Johns Hopkins University Applied Physics Laboratory, our staff members strive for perfection each day and are rewarded for their major contributions that are critical to APL's success - that is why we are recognized as one of the national leaders in scientific research and development. As a member of the Aerospace and Mechanical Engineering Group (A1C) in the Air and Missile Defense Sector, you will be have a chance to make a difference and be part of a diverse, collaborative, and highly technical team. Within the A1C Group, the Multi-Disciplinary Design Optimization Section is responsible for applying optimization techniques that are innovative and critical to challenges in the area of missile defense.

As a Design Optimization Engineer, you will perform numerical optimization, design of experiments, surrogate modeling, and other analytical techniques on a variety of multidisciplinary missile, weapon system, and system-of-system (SoS) design problems for ballistic missile defense (BMD) and anti-air warfare (AAW) applications. Your expertise will be relied upon to leverage aerospace vehicle design and performance considerations when conducting trade studies, optimization studies, and sensitivity analyses that guide system/SoS concept development and performance assessments.

As a valued individual contributor your role and responsibilities will include but not be limited to the following:

Duties (Listed in order of importance with the estimated amount of time spent at each task):
1. Apply numerical optimization and surrogate modeling techniques to explore system and SoS design trades in support of a variety of missile and BMDS modeling and simulation efforts, such as missile performance, mission planning, fire control, etc. (25%)
2. Apply MDO techniques to analysis within the Mechanical and Aeronautical Engineering Group, including BMDS target design, missile concept development, and prototype hardware development. (25%)
3. Use physics-based concept design tools to synthesize booster stack and kill vehicle concepts. Perform concept performance assessments at the weapon level, including trajectory simulation and optimization. Interface with BMDS system analysts for system level performance assessments. (25%)
4. Participate in developing new Internal Research and Development (IRAD) ideas. Pursue innovative missile/system/SoS concepts through IRAD as a technical contributor. (15%)
5. Document newly developed codes, modeling capabilities, missile concept definitions and performance estimates. Deliver presentations to internal project teams and sponsors on tool and concept development. (10%)



Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.

Qualifications:

Required Qualifications: BS degree in Aerospace or Mechanical Engineering. Two years of experience with numerical optimization, multidisciplinary design optimization (MDO), design of experiments, and surrogate modeling (e.g. neural nets, response surface equations, etc.). Experience with aerospace vehicle design, flight dynamics, and trajectory optimization (3/6 DOF). Ability to work both independently and as part of a team. Experience with Matlab programming. Excellent written and verbal communication skills. Must be able to obtain a Secret clearance.

Desired Qualifications: MS or PhD degree in Aerospace or Mechanical engineering. Two years of experience with numerical optimization, multidisciplinary design optimization (MDO), design of experiments, and surrogate modeling (e.g. neural nets, response surface equations, etc.), including background in statistics. Experience with aerospace vehicle design, missile/space propulsion, flight dynamics, and trajectory optimization (3/6 DOF). Experience with hardware design, analysis, and manufacturing practices for aerospace vehicles. Significant experience with Matlab programming. Ability to work both independently and as part of a multi-disciplinary team. Experience with proposal writing / business development. Excellent written and verbal communication skills. Current Secret clearance.

Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Who we are: Johns Hopkins University Applied Physics Laboratory (APL), located midway between Baltimore and Washington, DC provides critical contributions to critical challenges with systems engineering and integration, technology research and development, and analysis.


Meet Some of Johns Hopkins Applied Physics Laboratory's Employees

Gianni P.

Electrical Engineer

Gianni works on the design, modeling, and simulation of low- to high-fidelity radar projects for the lab. He also conducts tests to evaluate new technologies.

Mary A.

Lead RF Systems Engineer

Mary Ann builds prototypes and integrates software and hardware communications in order to create complete systems for APL contracts and projects. She also collaborates with her team to fix software issues.


Back to top