Senior Multi-Sensor Tracking & Data Fusion Engineer

Johns Hopkins Applied Physics Laboratory

Laurel (MD)

On-site

USD 100,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Education assistance

Unparalleled retirement contributions

Healthy work-life balance

Retirement plans

Paid time off

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

Flexible spending accounts

Training and development

Job summary

Johns Hopkins Applied Physics Laboratory (APL) is seeking an engineer to design and evaluate multi-sensor tracking and data fusion algorithms. You will develop methods for state estimation, data association, track initiation, and maintenance, leveraging Monte Carlo analysis and data-driven evaluation across diverse sensing sources.

You will collaborate across teams, produce analysis packages, and brief sponsors.

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.
Experience with tracking topics such as data association, multi-target tracking, Kalman or nonlinear filtering, or multi-sensor data fusion.
Proficiency in MATLAB, Python, or similar programming languages to develop algorithms, build simulations, and analyze data.
Ability to obtain Interim Secret clearance by start date and eventually TS/SCI; US citizenship required.

Responsibilities

Develop and evaluate state estimation, data association, track initiation, maintenance, and multi-sensor data fusion.
Use Monte Carlo analysis, test data, and quantitative evaluation to characterize algorithm behavior.
Conduct studies to develop tracking system design recommendations.
Collaborate with internal and external teams to provide solutions for complex tracking applications.
Develop analysis packages and briefings for sponsors and key audiences.