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Full-time
bachelor degree, postgraduate degree
Education assistance program, Retirement contributions, Health insurance, Dental insurance, Vision insurance, Life insurance
Posted 29d ago
Apply by Aug 13
~40 hrs/week
Responsibilities
Analyze live tactical-sensor data and develop physics-based simulations to solve complex mission-critical problems. Build and apply machine learning algorithms and M&S tools to large data sets to enhance sensor performance.
Requirements
Requires a BS in Electrical Engineering, Physics, or a related STEM field with at least one year of engineering experience. Candidates must be U.S. citizens capable of obtaining and maintaining a Top Secret/SCI security clearance.
Full job description
Description
Are you eager to apply your expertise in radar systems, physics, modeling and simulation, and/or data science to high impact defense challenges, and thrive in a collaborative, innovative environment? If so, we are looking for someone like you to join our team at APL.
We are seeking Radar System Engineers with one or more years of experience to help field the next generation of Advanced Surface Navy sensors and Land-based Cruise Missile Defense sensor networks, defending against some of the world's most challenging threats in challenging operational environments.
Why Join Us
Mission‑Driven Impact: Contribute directly to the development and fielding of next‑generation Navy Radar/EO/IR, electronic‑warfare, and land‑based cruise‑missile‑defense sensor networks that protect service members against the world’s toughest threats.
Cutting‑Edge Innovation: Work with physics‑based modeling and simulation (M&S), advanced data‑analysis, and machine‑learning techniques to create innovative sensor‑performance tools.
Collaborative Culture: Join a highly motivated, interdisciplinary team of sensor engineers, RF‑propagation and meteorology specialists, software developers, combat‑system engineers, and physicists—all focused on solving complex, mission‑critical problems.
Core Responsibilities
Analyze live tactical‑sensor data with a cross‑disciplinary team to deliver mission‑driven solutions.
Identify and solve problems that impact mission requirements.
Build and apply M&S tools, data‑analysis platforms, and machine‑learning algorithms to large data sets; develop novel algorithms that solve real-world problems.
Develop and refine physics‑based simulations that provide new insight into radar, EO/IR, and electronic‑warfare system performance in realistic operational environments.
Develop novel instrumentation and algorithms for understanding RF propagation effects by directly measuring, recording, and analyzing RF signal measurements.
Identify emergent phenomenology, troubleshoot problems affecting sensor performance, and work with a broad network of experts—including prime contractors, government labs, RF‑propagation and meteorology specialists, software developers, combat‑system engineers, and physicists—to deliver integrated solutions.
Apply, machine learning, signal processing, and data science techniques to unprecedented real-world challenges.
Advance the state of the art in our core technology areas: signal processing, electromagnetics, software development, and boundary-layer meteorology.
Qualifications
You meet our minimum qualifications for the job if you have...
A BS in Electrical Engineering, Physics, or equivalent STEM technical discipline, with some sensor systems engineering experience.
At least 1 year of engineering-related experience.
Strong understanding of radar systems, and/or physics-based phenomena affecting radar or communications systems.
Some familiarity with Python, MATLAB, or equivalent tools, and have had some exposure to modern development process (git, GitLab, Jira, or equivalent).
Good interpersonal and communication skills.
Willingness to travel up to 5% of the time as needed.
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret/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 a MS or PhD in Electrical Engineering, Physics, or equivalent STEM technical discipline and additional years of relevant experience.
Experience with advanced DoW sensors and combat systems, particularly in the areas described above.
Have experience leading technical teams.
Have an existing Top Secret clearance.
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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 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 [email protected].
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
Related keywords
Radar SystemsPhysicsModeling and SimulationData ScienceMachine LearningSignal ProcessingPythonMATLABGitGitLabJiraElectromagneticsSensor EngineeringRF PropagationMeteorologyDefense
The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.
Offices: 11100 Johns Hopkins Road, Laurel, Maryland 20723, US
How many Technology jobs are open in Laurel, MD right now?
There are currently 506 open technology positions in Laurel, MD listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Laurel, MD?
Companies currently hiring include Johns Hopkins Applied Physics Laboratory, Peraton, Leidos, GliaCell Technologies, Lentech, Inc., among others. Browse the listings above to see every active employer.
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