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Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Senior Data Fusion and Tracking Systems Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLaurel, MD, USAIn-person

About the Job

Requirements

  • Possess a Bachelor of Science in mathematics, applied mathematics, electrical engineering, computer science, physics, statistics, systems engineering, or a related technical field.
  • Have 5+ years of experience developing and evaluating tracking and data fusion algorithms and systems, including identifying and resolving algorithmic or system design issues.
  • Have demonstrated expertise in one or more of the following: multi-target tracking; multi-sensor data fusion; data association and correlation; state estimation; Kalman filtering; Multiple Hypothesis Tracking; Joint Probabilistic Data Association; track initiation and maintenance; track-level or distributed data fusion; characterization of sensor information; common tracking measures of performance.
  • Have experience developing and evaluating tracking algorithms through modeling, simulation, analysis, and test data assessment using MATLAB, Python, C/C++, Julia, or similar scientific programming languages.
  • Have experience creating and delivering technical briefings for government sponsors and other external organizations.
  • Be willing and able to travel up to 10% of the time, as needed.
  • Hold an active Secret security clearance, be able to obtain a TS/SCI clearance, and be a U.S. citizen.

Responsibilities

  • Develop, evaluate, and improve advanced tracking and data fusion algorithms through modeling, simulation, analysis, and test data assessment.
  • Evaluate tracking algorithms within complex systems and system-of-systems architectures to identify performance limitations and recommend design improvements.
  • Design and conduct technical studies to develop algorithmic proof-of-concept capabilities and quantitative recommendations for future system designs.
  • Analyze tracking performance, sensor information, and algorithm effectiveness using modeling, simulation, and data analysis tools.
  • Collaborate with internal teams, government sponsors, and external organizations to solve technical problems involving tracking and data fusion.
  • Develop and present technical analyses, recommendations, and briefing materials to sponsors and other key stakeholders.
  • Contribute to the technical direction of tracking and data fusion efforts while mentoring junior staff and fostering technical excellence.

Desired Qualifications

  • Possess an MS or PhD in applied mathematics, electrical engineering, statistics, computer science, physics, systems engineering, or a related technical field.
  • Have 7+ years of experience developing, evaluating, and leading technical efforts involving advanced tracking and data fusion algorithms and systems.
  • Have experience applying tracking algorithms to radar, EO/IR, or other sensing systems supporting air and missile defense applications.
  • Have experience conducting modeling and simulation, verification and validation, and performance assessments of tracking algorithms within end-to-end systems or system-of-systems architectures.
  • Have experience leading technical studies, mentoring junior staff, and influencing the technical direction of multidisciplinary engineering efforts.
  • Have experience collaborating directly with Department of Defense sponsors and presenting technical analyses and recommendations to senior government stakeholders.
  • Hold an active Top Secret security clearance and be able to obtain a TS/SCI clearance.

About the Company

Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center that provides solutions to complex national security and scientific challenges through technical expertise, prototyping, research and development, and analysis. It uses engineering, simulations, and studies to design prototypes and deliver analyses that support government and partner organizations. Unlike many commercial firms, APL operates as a non-profit affiliated with Johns Hopkins and focuses on mission-oriented research rather than selling finished products. Its goal is to provide practical, thoroughly tested solutions to public-sector customers by performing research, developing prototypes, and offering expert analysis.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
1942

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