Engineer, Systems Engineer

Duties

• You will serve as Radio Frequency Engineer supporting the Intelligence Engineering Branch (DNA-42) at Naval Surface Warfare Center Dahlgren Division Damn Neck Activity (NSWCDD DNA).
• You will provide electronics engineering and radio frequency engineering support to the intelligence program.
• You will perform advanced systems engineering activities on signals intelligence (SIGINT) and electronic warfare (EW) programs involving fully integrated tactical systems for military intelligence programs.
• You will provide advanced technical support for the design and development of computer based and embedded systems, such as firmware development, embedded system design, application software development, circuit board design, and cyber engineering.
• You will provide technical leadership for systems development and engineering activities and support continuous improvement of the organization's system development processes.
• You will work closely with contractors on technical issues, to include defining technical requirements, monitoring technical performance, and ensuring the delivery of critical capabilities to keep programs on schedule.

Requirements

Conditions of employment

• Must be a US Citizen.
• Must be determined suitable for federal employment.
• Must participate in the direct deposit pay program.
• New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov
• Within the Department of Defense (DoD), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326.
• Males born after 12-31-59 must be registered for Selective Service.
• You will be required to obtain and maintain an interim and/or final security clearance prior to entrance on duty. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal.
• This position is covered under the Defense Acquisition Workforce Improvement Act (DAWIA). Certification in the Acquisition
  
  Functional Area
  
  and category assigned to the position is required within established category time frames.
• This position may require travel from normal duty station to CONUS and OCONUS and may include remote or isolated sites. You must be able to travel on military and commercial aircraft for extended periods of time.
• Successful completion of a pre-employment drug test (including marijuana) is required. A tentative offer of employment will be rescinded if you fail to report to the drug test appointment or fail the test. You will be subject to random testing.

Qualifications

This is an interdisciplinary position and may be filled by a General Engineer (0801-series), Computer Engineer (0854-series), or an Electronics Engineer (0855-series) depending on the qualifications of the candidate. Applicants in positions with occupational series other than those listed (0801, 0854, and 0855) may apply; however, you must apply directly to the series listed in this flyer that is most applicable to your qualifications.

Your resume must also demonstrate at least one year of experience at or equivalent to the ND-03 (GS-09 through GS-11 equivalency) pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following:As a professional engineer or scientist applying systems engineering principles to design or develop software. Examples of qualifying experience may include (1) knowledge of and experience with Software Defined Radios (SDR), including programming, designing, configuring, controlling, and data processing;

(2) knowledge of and experience with Radio Frequency (RF) digital signal processing techniques, including A/D conversion, FFTs, and filtering techniques; (3) knowledge of and experience with Machine Learning frameworks, techniques, and algorithms; (4) knowledge of and experience with the application of Machine Learning to RF signal detection and classification; (5) experience with multiple software development…