Description
Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. The Leidos Innovations Center (LInC) at Leidos currently has an opening for a Signal Processing Engineer to support EW programs in Arlington, VA or San Diego, CA.
As part of our team, you will focus on improving the robustness and efficacy of sensors and signals in complicated environments. More broadly, you will advance the state of the art in research and advanced applications to support ongoing and future EW programs . You’ll simultaneously get to work alongside scientists and experts in these fields to help grow your own knowledge and career; motivated candidates may have an opportunity to lead tasks as well.
Regular tasks will include:
- Develop, model, and test algorithms in Matlab, Simulink, or C++
- Analyze results from simulation or real data to identify root causes and trends
- Develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains
- Participate in lab-based and field testing
- Support marketing and business development initiatives
- Engage in multiple projects, interacting with Customers as well
At Leidos , we offer competitive benefits -benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Advanced Warfare Technology!
Required Qualifications:
- Must be U.S. Citizen
- Active Secret clearance and eligible to obtain a TS/SCI level clearance
- Bachelors of Science in Electrical Engineering, Physics, Computer Science, Mathematics or related field
- 4+ years’ experience in radar signal processing
- Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc.
- Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes
- Demonstrated strong oral and written communication
- Ability to work in a team environment, as well as independently
- Adaptability to new challenges with a strong motivation to grow and learn in new areas
Preferred Qualifications:
- Active TS/SCI clearance preferred
- Master’s Degree in Electrical Engineering, Physics, Computer Science, Mathematics or related field
- Task lead or team leadership experience
- Experience translating functional requirements into tasks
- Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development synthetic aperture radar (SAR) or similar fields
AWTLINC
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting: October 15, 2025For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range: Pay Range $87,100.00 - $157,450.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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