Multi-Sensor Tracking & Data Fusion Engineer

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 100,000 - 195,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory in Laurel, MD, is seeking a multi‑sensor tracking engineer to develop and evaluate state estimation and data fusion algorithms across diverse sensing sources for robust operation in adversarial environments.

You will perform Monte Carlo analyses, build simulations in MATLAB and Python, and collaborate with internal and external teams to deliver analysis packages and briefings for sponsors and other key audiences.

Qualifications

• BS in mathematics, electrical engineering, statistics, or related technical field
• 2 years of relevant professional experience applying tracking theory, state estimation, statistical estimation, or related methods (relevant doctoral research may be considered in place of professional experience)
• Experience with tracking topics such as data association, multi-target tracking, Kalman or nonlinear filtering, track initiation and maintenance, or multi-sensor data fusion
• Experience using MATLAB, Python, or similar programming languages to develop algorithms, build simulations, and analyze data
• Eligibility requirements include U.S. citizenship and ability to obtain Interim Secret security clearance with potential TS/SCI clearance

Responsibilities

• Your primary responsibility will be developing and evaluating methods for state estimation, data association, track initiation and maintenance, and multi-sensor data fusion
• You will use Monte Carlo analysis, test data, and quantitative evaluation to characterize algorithm behavior and identify performance limitations
• You will conduct studies to develop tracking system design recommendations
• You will collaborate with internal and external teams, contributing solutions to complex tracking applications
• You will develop analysis packages and briefings for our sponsors and other key audiences

Skills

Data fusion

State estimation

Tracking theory

Kalman/nonlinear filtering

Algorithm development

MATLAB

Python

Education

BS in mathematics

BS in electrical engineering

BS in statistics

MS or PhD in applied mathematics / related field

Tools

MATLAB

Job description

Johns Hopkins Applied Physics Laboratory in Laurel, MD, is seeking a multi‑sensor tracking engineer to develop and evaluate state estimation and data fusion algorithms across diverse sensing sources for robust operation in adversarial environments.

You will perform Monte Carlo analyses, build simulations in MATLAB and Python, and collaborate with internal and external teams to deliver analysis packages and briefings for sponsors and other key audiences.