Senior Sensor Signal Processing Engineer - Laurel - Johns Hopkins Applied Physics Laboratory (APL)

    Johns Hopkins Applied Physics Laboratory (APL)
    Johns Hopkins Applied Physics Laboratory (APL) Laurel

    13 hours ago

    Description


    We are seeking an experienced engineer to help us design and develop concepts and algorithms that will solve complex sensor and source integration and data association challenges in networked sensor systems.

    As a member of our team, you will contribute to the development of the Navy's next generation of networked sensor systems that will ingest, associate, and fuse dissimilar information, ranging from active and passive sensor positional measurements to external source tracks and target characterization attributes, to provide an accurate, common, and actionable composite track picture across all platforms in support of distributed warfare concepts.

    As a Sensor Signal Processing Engineer...


    Your primary responsibility will be to design, develop, and assess sensor and source integration and data association and techniques for incorporation into tactical systems.

    You will learn about specific active and passive sensor types (RF, EO, IR, ES) and their associated data characteristics, track sources, sensor designs, modes of operation, sensor capabilities, detection and characterization data, and use your knowledge to integrate sensors, develop automated sensor data processing and conditioning algorithms to address false alarms and sensor artifacts (rings, splits, bias corrections), and associate sensor and characterization data for fusion with dissimilar data into a composite track.

    You will prototype concepts and algorithms for processing and integrating next generation sensor measurement and target characterization systems into advanced networked target identification and electronic protection capabilities.

    You will investigate and apply state of the art algorithms for track formation and prediction of challenging targets to include adaptive track formation from unassociated sensor measurements, track disclosure with false alarm control, measurement, track, and attribute association to tracks, maneuver detection and magnitude estimation, time synchronization, track-to-track correlation, and feature aided track ambiguity resolution.

    You will collaborate with a team of experts to perform analytics on complex sensor data to design novel techniques and criteria to rapidly disclose new tracks and adaptively control false track disclosure rates in challenging detection and high clutter environments.

    You will conduct tracking system design trade studies to identify, quantify, and demonstrate performance improvements achieved through the integration of the new candidate sensors or processing algorithms into existing tactical systems.

    Qualifications

    You meet our minimum qualifications for the job if you...

    Possess a MS degree in Electrical Engineering, Mathematics, Aerospace Engineering, or a related field.

    Have 5+ years of experience in designing and implementing sensor data processing, sensor data association, or target tracking algorithms and concepts.

    Have a theoretical background in statistical or adaptive signal processing.
    Have proficient analytical and applied mathematical skills.
    Have proficiency in MATLAB, Python, or similar programming languages for algorithm development or data analysis.
    Have the ability to perform effectively as part of a multi-disciplinary team.

    Are willing and able to travel up to 5% of the time to remote sites and are comfortable working in closed areas.

    Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret security 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...

    Possess a PhD degree in Electrical Engineering, Mathematics, Aerospace Engineering, or a related field.
    Have an active Secret security clearance.
    Have research, development, and analysis experience in some or all of the following:
    Probability and stochastic processes
    Target tracking algorithms and concepts
    Sensor fusion algorithms and techniques
    RF, Electronic Support, and/or EO/IR sensors and signals
    Control theory and Kalman filtering
    Detection and estimation theory

    About Us

    Why Work at APL?


    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

    .


    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

    .

    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.

    Minimum Rate
    $100,000 Annually
    Maximum Rate
    $245,000 Annually
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