Multi-Sensor Tracking 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.

Skills

State estimation

Data fusion

Track initiation

Multi-sensor data fusion

Kalman filtering

Nonlinear filtering

Data association

Monte Carlo analysis

MATLAB

Python

Education

Bachelor's degree in mathematics, electrical engineering, statistics, or related field

MS or PhD in applied mathematics, electrical engineering, statistics, or related field

Tools

MATLAB

Python

Job description

Description

Are you excited about applying your knowledge, skills and talents to solve some of the most complex problems encountered in defending our nation?

Would you like to contribute to the design and evaluation of tracking and data fusion systems supporting high-impact warfighter capabilities?

If so, we’re looking for someone like you to join our team at APL.

The Multi-Domain Sensing Architectures and Data Fusion Group is a team that possesses a deep knowledge of sensing, tracking, and data fusion algorithms and architectures. We are seeking an engineer to develop and evaluate multi-sensor tracking and data fusion algorithms that combine measurements and information from diverse sensing sources. We also aim to exploit the strengths of each sensor to ensure robust capability for operation in any adversarial environment. Through research, data analysis, and experimentation, we develop practical solutions to difficult sensing and tracking problems. We care deeply about our staff members and work hard to provide them a supportive environment where they can thrive and grow as professionals.

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

Qualifications

Possess a BS in mathematics, electrical engineering, statistics, or related technical field
Have 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)
Have experience with one or more tracking topics such as data association, multi-target tracking, Kalman or nonlinear filtering, track initiation and maintenance, or multi-sensor data fusion
Have experience using MATLAB, Python, or similar programming languages to develop algorithms, build simulations, and analyze data
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI 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.

You’ll go above and beyond our minimum requirements if you…

Have an MS or PhD in applied mathematics, electrical engineering, statistics, or related technical field
Hold an active Top Secret security clearance, and can ultimately obtain a TS/SCI 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.

About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a 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. Applications are accepted on a rolling basis.