2027 PhD Graduate - Subsea Robotics Engineer

Johns Hopkins Applied Physics LaboratoryLaurel, MD
Onsite

About The Position

Are you excited about developing software that enables autonomous underwater vehicles to operate in challenging real-world environments? Do you enjoy combining robotics, dynamics, controls, and software engineering to solve complex mission problems? If so, the Maritime Robotics Group (KMM) is looking for an early-career Subsea Robotics Engineer to join our Modeling and Control team. Our mission is to develop, integrate, test, and deploy advanced robotic capabilities that provide our nation with an advantage in autonomous maritime systems. We build software that enables autonomous and remotely operated underwater vehicles to navigate, maneuver, interact with their environment, and accomplish challenging operational missions. Our work spans simulation, controls, autonomy, system integration, laboratory testing, and at-sea experimentation, with an emphasis on delivering robust capabilities that transition to operational systems. As a member of our team, you will work closely with robotics, software, mechanical, electrical, and ocean engineers to develop and deploy advanced underwater robotic systems.

Requirements

  • Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Ocean Engineering, Aerospace Engineering, Computer Science, or a related field.
  • Experience developing robotic software using ROS 2.
  • Experience developing software on Linux.
  • Proficient in Python and C++.
  • Experience developing, implementing, or testing dynamic systems, feedback control algorithms, robotic simulation, or autonomous systems through coursework, research projects, internships, or professional experience.
  • Familiarity with software engineering best practices, including Git-based version control, debugging, testing, and documentation.
  • Enjoy working in multidisciplinary teams to solve challenging engineering problems.
  • Able to obtain an Interim Secret security clearance by your start date and ultimately obtain a Secret clearance. Eligibility requirements include U.S. citizenship.
  • Minimum 3.0 GPA on a 4.0 scale.

Nice To Haves

  • Experience developing dynamics, controls, guidance, navigation, or autonomy software for robotic systems.
  • Experience modeling and simulating robotic or autonomous systems using Gazebo, Ignition, Stonefish, Isaac Sim, MATLAB/Simulink, or similar tools.
  • Experience integrating robotic sensors such as IMUs, DVLs, sonars, cameras, pressure sensors, or manipulators.
  • Experience with state estimation, system identification, trajectory generation, optimization, or motion planning.
  • Experience with containerized software development, continuous integration, or modern DevSecOps workflows.
  • Participated in field testing, vehicle integration, or deployment of robotic systems.
  • Demonstrated initiative in developing new technical capabilities or leading engineering efforts.

Responsibilities

  • Develop robotics software for Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and other subsea robotic systems using ROS 2.
  • Design, implement, and maintain modular software in C++ and Python on Linux-based systems.
  • Develop and integrate dynamics, controls, guidance, navigation, and autonomy algorithms for underwater robotic platforms.
  • Build high-fidelity simulation environments and modeling tools to support software development, system integration, and mission planning.
  • Integrate sensors, actuators, and vehicle subsystems into robust robotic software architectures.
  • Evaluate vehicle performance through simulation, laboratory testing, and field experiments, using collected data to improve system performance.
  • Support integration and testing of robotic systems in laboratory, pool, and at-sea environments.
  • Collaborate across multidisciplinary teams to transition software from development into operational robotic systems.

Benefits

  • Robust education assistance program
  • Unparalleled retirement contributions
  • Healthy work/life balance
  • Retirement plans
  • Paid time off
  • Medical
  • Dental
  • Vision
  • Life insurance
  • Short-term disability
  • Long-term disability
  • Flexible spending accounts
  • Education assistance
  • Training and development

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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