Mission-Driven Robotics & Autonomous Systems Engineer

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

Benefits offered by this job

Education assistance

Unparalleled retirement contributions

Healthy work/life balance

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Robotics & Autonomous Systems Engineer to help develop mission-tailored autonomous systems for defense and intelligence applications.

You will work across perception, planning, navigation, controls, AI/ML inference, and multi-agent autonomy on resource-constrained platforms, collaborating with mechanical, electrical, software, and AI/ML teams to deliver integrated capabilities.

Qualifications

• Bachelor's degree in Robotics, Mechanical, Electrical, Systems, Aerospace, CS or Computer Engineering.
• Experience developing, integrating, or testing robotics or autonomous systems.
• Programming experience in Python, C++, Rust or similar.
• Strong written and verbal communication; multidisciplinary teamwork.
• Eligibility to obtain Interim Top Secret and Top Secret clearance; US citizenship required.

Responsibilities

• Develop mission-tailored autonomous systems for defense and intelligence sponsors.
• Architect, design, integrate, and test robotic and autonomous systems.
• Develop capabilities in perception, planning, navigation, controls, and multi-agent autonomy.

Skills

Python

C++

Rust

Communication

Education

Bachelor's degree in Robotics or related engineering

Master's degree in Robotics or related field

Tools

ROS/ROS2

Gazebo

Isaac Sim

Unreal Engine

AirSim

HWIL testing

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Robotics & Autonomous Systems Engineer to help develop mission-tailored autonomous systems for defense and intelligence applications.

You will work across perception, planning, navigation, controls, AI/ML inference, and multi-agent autonomy on resource-constrained platforms, collaborating with mechanical, electrical, software, and AI/ML teams to deliver integrated capabilities.