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Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Senior Guidance and Control Engineer

Flight Dynamics & GNCConfirmed live in the last 24 hours
Full-timeLaurel, MD, USAIn-person

About the Job

Requirements

  • Possess a Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Mathematics, or another related technical field.
  • Have at least five years of experience in vehicle guidance, controls, or autonomous systems.
  • Be comfortable building physics-based models and applying system dynamics and equations of motion in a simulation environment.
  • Be proficient in one or more areas of controls theory, including classical methods such as proportional-integral-derivative control and modern methods such as nonlinear Lyapunov-based, adaptive, robust, cooperative, and model predictive control, and their application to vehicle control design.
  • Be able to obtain an Interim Secret security clearance by the start date and ultimately obtain a Top Secret security clearance. Eligibility requirements include U.S. citizenship.

Responsibilities

  • Apply guidance and control expertise to technical challenges across advanced autonomous vehicle systems.
  • Lead research, design, and development of guidance and control algorithms grounded in modern control theory and best practices.
  • Mentor and guide other guidance, navigation, and control engineers and help maintain team knowledge in the analysis, design, and implementation of control solutions for next-generation weapon systems.
  • Analyze and assess contractor designs to assist program offices throughout the Department of Defense acquisition cycle, and interface with contractors to help them design and build operational weapon systems.
  • Collaborate with experts across disciplines to identify technical risks, communicate challenges to program sponsors, and help shape program strategic direction.

Desired Qualifications

  • Possess a Master's degree or PhD in a related technical field.
  • Be proficient in guidance theory and its application to flight systems, such as ProNav, GENEX, and optimal guidance methods.
  • Have deep knowledge in an affiliated field such as state estimation, navigation, optimization, system identification, hardware-in-the-loop testing, or flight-testing missile systems.
  • Have significant experience in artificial intelligence and machine learning, especially as applied to vehicle autonomy.
  • Have experience in project management, mentorship, and/or leading teams of people.

About the Company

Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center that provides solutions to complex national security and scientific challenges through technical expertise, prototyping, research and development, and analysis. It uses engineering, simulations, and studies to design prototypes and deliver analyses that support government and partner organizations. Unlike many commercial firms, APL operates as a non-profit affiliated with Johns Hopkins and focuses on mission-oriented research rather than selling finished products. Its goal is to provide practical, thoroughly tested solutions to public-sector customers by performing research, developing prototypes, and offering expert analysis.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
1942

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