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Autonomous Systems Guidance and Control Engineer

2 months ago

Laurel, Maryland, United States Johns Hopkins Applied Physics Laboratory Full time
About the Role

We are seeking a highly skilled Guidance and Control Systems Engineer to join our team at the Johns Hopkins Applied Physics Laboratory. As a key member of our team, you will be responsible for applying guidance and control theory to solve complex technical problems facing a diverse set of novel autonomous vehicle systems in development.

Key Responsibilities
  • Evaluate the performance of complex systems by using and modifying high-fidelity simulations.
  • Team up with other guidance, navigation, and control engineers to analyze, design, and implement control solutions to an array of weapon systems.
  • Collaborate with other disciplines to identify and solve the most demanding problems facing your programs.
  • Communicate directly with sponsors to convey important ideas, present data, and help shape control strategy.
  • Perform research in guidance, control theory, and related fields to identify new areas of advancement.
Qualifications
  • Possess a Bachelor's degree or equivalent in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Mathematics, or another related technical field.
  • Have at least three years of relevant experience in guidance or control theory.
  • Have basic familiarity with programming languages such as MATLAB/Simulink or C++.
  • Have a strong sense of initiative, creativity, and a passion for learning.
  • Work effectively in a team environment while supporting multiple development projects concurrently.
  • Be able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance.
Preferred Qualifications
  • Possess a Master's degree or PhD in a related technical field.
  • Have experience in project management, mentorship, and leading teams of people.
  • Demonstrate proficiency in one or more areas of controls theory, including modern and classical methods.
  • Have a background in guidance theory and its application to flight systems.
  • Have strong knowledge in an affiliated field such as state estimation, navigation, optimization, AI/ML, hardware in the loop (HWIL) testing, or flight testing missile systems.
  • Be comfortable in building physics-based models, applying system dynamics and equations of motion in a simulation environment.
  • Have experience in air, underwater, or space domains.
  • Have proficiency in Python.
  • Hold an active Secret clearance.