Graduate Engineer, Intelligent Autonomous Systems & AI

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

Job summary

The Johns Hopkins University Applied Physics Laboratory (JHU/APL) seeks innovative engineers and scientists to advance autonomous systems, AI, and unmanned platforms. You will contribute to the design, prototyping, and testing of capabilities that enhance national defense and warfighter safety.

Ideal candidates hold a STEM degree, are proficient in C++ and Python, and can engage across software, hardware, and data-driven disciplines. US citizenship and security clearance eligibility are required.

Qualifications

• Bachelor's or Master's degree in a STEM field.
• Proficient in C++ and Python; familiar with software design patterns.
• Experience with applications for physical systems such as mechanical, aerospace, or robotics.
• Eligible for Interim Secret security clearance; US citizenship required.

Responsibilities

• Prototype and simulate AI and autonomous systems by writing code and developing software (simulation and visualization).
• Contribute to the data-to-deployment lifecycle of machine learning models.
• Collaborate with AI experts and engineers to deliver capabilities to the warfighter.

Skills

C++

Python

Software design patterns

Robotics

Java

C

C#

Linux

Unity

MATLAB

Education

B.S./M.S. in STEM

Tools

Pytorch

TensorFlow

Unity

MATLAB

Linux

Job description

The Johns Hopkins University Applied Physics Laboratory (JHU/APL) seeks innovative engineers and scientists to advance autonomous systems, AI, and unmanned platforms. You will contribute to the design, prototyping, and testing of capabilities that enhance national defense and warfighter safety.

Ideal candidates hold a STEM degree, are proficient in C++ and Python, and can engage across software, hardware, and data-driven disciplines. US citizenship and security clearance eligibility are required.