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Johns Hopkins Applied Physics Laboratory
Laurel, Maryland
Source: Johns Hopkins Applied Physics Laboratory careers · View original posting
From Johns Hopkins Applied Physics Laboratory's posting. “We” and “our” refer to the employer.
Description
Do you have experience with signal processing, image processing, state estimation, modeling and simulation, or optimization?
Are you interested in applying your technical skills to challenging navigation and aerospace problems?
Do you enjoy working across disciplines to develop algorithms, build physics-based models, and analyze complex systems?
Do you like contributing to some of our country's most difficult national security challenges?
If so, we're looking for someone like you to join our team at APL.
We are seeking an engineer to help us develop and analyze advanced navigation systems and algorithms supporting a variety of aerospace and missile applications. You will work with a multi-disciplinary team to apply a combination of signal processing, state estimation, electro-optical/infrared (EO/IR) image processing, photogrammetry, optimization, and physics-based modeling and simulation to solve challenging navigation problems.
We are looking for candidates who bring depth in at least one of these disciplines and are excited to broaden their technical expertise while working alongside specialists across navigation, sensing, estimation, and modeling and simulation.
As a member of our team, you will contribute to impactful projects supporting the U.S. Department of War and the warfighter. You will work alongside technical experts who have a passion for conducting state-of-the-art analysis and advancing our country's capabilities. Our well-rounded team of hardworking engineers believes in fostering an environment of continuous learning, collaboration, and mentoring.
As a Navigation, Modeling, and Simulation Engineer you will...
Develop and analyze algorithms for advanced navigation systems using techniques such as signal and image processing, state estimation, photogrammetry, optimization, and sensor/data fusion.
Work with EO/IR imagery, terrain and geospatial data, and other sensor data to develop and evaluate approaches for navigation and localization.
Develop, implement, and analyze physics-based models and simulations of flight vehicles, sensors, environments, and navigation systems. You will use simulation to predict system behavior, identify potential limitations, and evaluate system performance.
Apply Monte Carlo, probabilistic, covariance, sensitivity, and other analysis techniques to characterize system performance and support system-level design trades.
Develop and evaluate estimation and optimization approaches for determining vehicle position, velocity, attitude, and other states from available sensor measurements.
Interface navigation algorithms with flight system guidance and control algorithms and contribute to integrated system analysis.
Support testing in laboratory, simulation, and flight environments, including post-test analysis of sensor data and navigation algorithms implemented in onboard software.
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 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.
Minimum Rate
$85,000 Annually
Maximum Rate
$195,000 Annually
We are seeking an engineer to help us develop and analyze advanced navigation systems and algorithms supporting a variety of aerospace and missile applications. You will work with a multi-disciplinary team to apply a combination of signal processing, state estimation, electro-optical/infrared (EO/IR) image processing, photogrammetry, optimization, and physics-based modeling and simulation to solve challenging navigation problems.
We are looking for candidates who bring depth in at least one of these disciplines and are excited to broaden their technical expertise while working alongside specialists across navigation, sensing, estimation, and modeling and simulation.
As a member of our team, you will contribute to impactful projects supporting the U.S. Department of War and the warfighter. You will work alongside technical experts who have a passion for conducting state-of-the-art analysis and advancing our country's capabilities. Our well-rounded team of hardworking engineers believes in fostering an environment of continuous learning, collaboration, and mentoring.
As a Navigation, Modeling, and Simulation Engineer you will...
Develop and analyze algorithms for advanced navigation systems using techniques such as signal and image processing, state estimation, photogrammetry, optimization, and sensor/data fusion.
Work with EO/IR imagery, terrain and geospatial data, and other sensor data to develop and evaluate approaches for navigation and localization.
Develop, implement, and analyze physics-based models and simulations of flight vehicles, sensors, environments, and navigation systems. You will use simulation to predict system behavior, identify potential limitations, and evaluate system performance.
Apply Monte Carlo, probabilistic, covariance, sensitivity, and other analysis techniques to characterize system performance and support system-level design trades.
Develop and evaluate estimation and optimization approaches for determining vehicle position, velocity, attitude, and other states from available sensor measurements.
Interface navigation algorithms with flight system guidance and control algorithms and contribute to integrated system analysis.
Support testing in laboratory, simulation, and flight environments, including post-test analysis of sensor data and navigation algorithms implemented in onboard software.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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