2026 PhD Graduate - Robotic/Autonomous Systems Engineer - Maritime Robotics Group
Johns Hopkins APL · Laurel, MD · Robotics
About this role
Johns Hopkins APL is hiring a junior-level Embedded Software Engineer in the software engineering function based in Laurel, MD. The posting calls out experience with Data Structures, Machine Learning. Listed education preference: a Ph.D. or equivalent.
- Role
- Embedded Software Engineer
- Function
- software engineering
- Level
- junior
- Track
- Individual contributor
- Location
- Laurel, MD
- Education
- Ph.D. preferred
- Department
- Robotics
- Posted
- Aug 25, 2025
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you passionate about developing solutions to challenging problems in the field of robotics?
Do you love working in a collaborative environment with engineers of varied backgrounds and experiences?
If you are graduating with a PhD degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related field and wish to work on some of the most challenging technical problems in robotics, we’d love to have you join our team! We are seeking engineers with educational experience and interest that aligns with the broad, exciting field of robotics. You will join a hardworking team of engineers in a collaborative development environment that spans software, hardware, and field testing. Our team works across a broad range of disciplines including machine perception, autonomous decision-making, data fusion, control systems, and mechanical design with applications across Uncrewed Air, Sea Surface, and Underwater vehicles. We are passionate about creating novel robotic solutions for our nation’s Navy as well as committed to developing exceptional engineering talent and fostering a culture of innovation and collaboration.
As a member of our team..
- Your primary responsibilty will be to prototype next-generation robotic solutions to help address critical challenges facing our Navy.
- You will work on highly collaborative, multidisciplinary teams to solve problems that span both software and hardware.