Graduate - AI-Driven Autonomous Systems Engineer

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 (APL) in Laurel, MD seeks engineers and scientists to advance autonomous systems, AI, and mission-focused software. Roles span intelligent control, multi-agent collaboration, and flight system testing within a multidisciplinary team.

Candidates should hold a STEM degree, be proficient in C++ and Python, and be prepared to pursue interim Secret clearance with eventual Top Secret/SCI eligibility.

Qualifications

• Bachelor's or Master's degree in a STEM field.
• Skilled in C++, Python, and software design patterns.
• Experience with applications for physical systems such as mechanical, aerospace, or robotics.
• Able to obtain an Interim Secret clearance by start date and ultimately Top Secret/SCI; US citizenship required.

Responsibilities

• Work on teams in areas like intelligent control, battlefield management, human-machine collaboration, distributed systems, RL, software/hardware design.
• Prototype and simulate AI and autonomous systems by coding, developing software, creating algorithms, or interfacing software/hardware.
• Contribute to the data-to-deployment lifecycle of machine learning models.

Skills

C++

Python

Software design patterns

C

C#

Java

Linux

Unity

MATLAB

PyTorch

TensorFlow

Education

Bachelor's or Master's degree in STEM

Tools

DevSecOps

CI/CD

Automated testing

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD seeks engineers and scientists to advance autonomous systems, AI, and mission-focused software. Roles span intelligent control, multi-agent collaboration, and flight system testing within a multidisciplinary team.

Candidates should hold a STEM degree, be proficient in C++ and Python, and be prepared to pursue interim Secret clearance with eventual Top Secret/SCI eligibility.