Mission-Centric Robotics & Autonomous Systems Engineer

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks Engineers for the Tailored Autonomous Systems Group to develop and field mission-tailored autonomous systems for sensing, decision-making, and coordinated action in complex environments.

Roles span perception, autonomy algorithms, platform behaviors, modeling, and full-stack software deployment on resource-constrained platforms. APL values collaboration across disciplines and rigorous engineering practices.

Qualifications

• Bachelor's degree in Robotics, Mechanical, Electrical, Systems, Aerospace, CS, or related field.
• Experience developing, integrating, or testing robotics or autonomous systems.
• Proficient in Python, C++, or Rust; strong communication in multidisciplinary teams.
• Eligible for Interim Top Secret clearance with U.S. citizenship.

Responsibilities

• Develop mission-tailored autonomous systems for sponsors and end users in defense/intelligence.
• Architect, design, integrate, and test robotic systems across sensing, software, and hardware.
• Advance capabilities in perception, planning, navigation, controls, and multi‑agent autonomy on constrained platforms.
• Support system lifecycle trades, requirements, interface definitions, and design reviews.

Skills

Python

C++

Rust

Embedded systems

Education

Bachelor's degree in a related technical field

Master's degree in Robotics or related discipline

Tools

ROS/ROS2

Gazebo

Isaac Sim

Unreal Engine

AirSim

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks Engineers for the Tailored Autonomous Systems Group to develop and field mission-tailored autonomous systems for sensing, decision-making, and coordinated action in complex environments.

Roles span perception, autonomy algorithms, platform behaviors, modeling, and full-stack software deployment on resource-constrained platforms. APL values collaboration across disciplines and rigorous engineering practices.