Apply on Employer Site

Johns Hopkins Applied Physics Laboratory · 1 month ago

2026 Graduate - Algorithm Development Engineer

Laurel, MD

Full-time

Onsite

New Grad, Entry Level

$85K/yr - $165K/yr

Johns Hopkins Applied Physics Laboratory is focused on solving critical defense, security, space, and science challenges. They are seeking an Algorithm Development Engineer to develop and analyze algorithms for maritime and US Navy applications, working with sensor data to find hidden patterns and document findings.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Algorithm developmentSignal processingMachine learningDeep learningProgramming PythonProgramming MATLABProgramming C/C++Data analysisFourier transformsDigital signal processingFeature-based machine learningWritten communicationVerbal communicationTeam collaboration

Required

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

Preferred

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

Benefits

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development

Company

Johns Hopkins Applied Physics Laboratory

The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.

Founded in 1942