2026 Graduate - Algorithm Development Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

Are you interested in developing and analyzing signal processing and machine learning algorithms for maritime and US Navy applications? Do you enjoy working on collaborative project teams with peers and mentors to aid your career development? If you are graduating with a Bachelor’s or Master’s degree in computer engineering, electrical engineering, physics, or mathematics/statistics and want to develop algorithms for the undersea domain, consider joining our team! We strive to cultivate an environment of collaboration and partnership with our highly skilled staff who regularly tackle difficult problems that make a difference in real-world operations. We apply information processing, machine learning, deep learning, and signal processing to transform raw sensor data into meaningful information for our nation’s warfighters. As examples, you may develop algorithms to process SONAR signals to hunt for submarines, analyze IP network traffic data to find anomalous events or traffic, or develop deep learning algorithms to classify objects in sidescan sonar images. As an Algorithm Development Engineer, you will…

Requirements

Have a Bachelor’s or Master’s degree in computer engineering, electrical engineering, mathematics/statistics, or physics.
Are skilled in or have working knowledge of a programming language such as Python, MATLAB, or C/C++.
Have strong written and verbal communication skills with the ability to work effectively in small project teams.
Are curious about signal processing, machine learning, deep learning, or artificial intelligence.
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Nice To Haves

Algorithm development and testing experience and data analysis in languages like Python or MATLAB, particularly for time series or sensor data.
Experience with Fourier transforms, digital signal processing, feature-based machine learning models (e.g. support vector machines, random forests), and/or deep learning models.
Led small project teams to successfully accomplish a technical objective.

Responsibilities

Provide contributions to projects developing innovative algorithms for real-world operations.
Work with raw and processed sensor data to find hidden patterns and weak signals, identify characteristics, and exploit those characteristics with novel algorithms.
Document your algorithms, algorithm performance, and insights in written reports and briefings to leadership and sponsors.