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Leidos Inc

Signal Processing Engineer

san diego, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Leidos Inc lists this Signal Processing Engineer opportunity in san diego, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Description

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division 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

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

- 8+ 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:

- PhD 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:

September 28, 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 $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand 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

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 .

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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