Radar Systems Engineer

Description

Are you interested in developing advanced radar systems to make an impact on our nation's defense?

Do you want to be part of an enthusiastic team dedicated to advancing the state of the art in radar systems?

How about contributing to the design and test algorithms for defense against missiles, including but not limited to Hypersonics?

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

We are seeking a creative and highly motivated problem solver to help us develop and analyze advanced radar systems within the Air and Missile Defense Sector, the Sensor Systems Engineering Group (A2B). You will work with other APL engineers as well as outside prime contractors and government sponsors. You will engage with a hardworking and enterprising team of scientists and engineers working to develop high-impact solutions for the Nation's defense. We are committed to excellence and strive to cultivate an environment of collaboration, coordination, creativity, and initiative. We value earnest communication, technical effort, and positive mindsets. Be part of a team of talented engineers tackling national security challenges!

As a Radar Systems Engineer, you will...

• Conduct analysis of radar systems utilizing existing high fidelity radar system to understand capabilities and limitations of systems under highly variable operational conditions
• Research and develop realizable solutions to gaps and opportunities identified through modeling, simulation, and analysis
• Provide insightful documentation on analysis findings and new concepts
• Interact with sponsors to understand program priorities, share analysis results, and introduce new concepts
• Participate in design reviews, technical interchanges, working groups, and program status meetings, either as a presenter or as a reviewer
• Participate in meetings and collaborations at Navy and vendor locations
• Have the opportunity to develop and propose ideas for APL Internal Research and Development funding

Qualifications

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

• Have a Bachelor of Science degree in Physics, Mathematics, Electrical Engineering, Computer Science, Computer Engineering or related technical field
• Have at least 1-year of experience in Aerospace, Hypersonics, Radar, or RF systems
• Have familiarity with Python, MATLAB, MATLAB Toolboxes, and Microsoft Office products
• Possess excellent interpersonal skills and be able to effectively interact with sponsors, management, and working group team members in a fast-paced environment
• Are able to obtain an Interim Secret, clearance by your start date and can ultimately obtain a Secret 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 M.S. in the fields listed above
• Have 2+ years experience in Aerospace, Hypersonics, Radar or RF systems
• Can manage and manipulate large data sets and utilize various machine learning techniques
• Have experience scripting and coding in a variety of languages, applying signal processing, ML, stochastic processes, AI, or related subject areas to algorithm development for radar domain problems for phased arrays, dense mediums, digital radar, multi-static radar
• Current Secret clearance with an ability to obtain higher-level clearances

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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