Leidos has filed 4 layoff notices in the last twelve months, covering 404 workers, most recently September 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats . The Electronic Warfare Divison at Leidos currently has an opening for a Radar 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 http://www.leidos.com/careers/pay-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 Electronic Warfare!

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

- Experience with quantum sensing concepts strongly preferred

NKE

ElectronicWarfare

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 29, 2026

For 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 - $157,450.00

The 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.