CX2

Autonomous AI-powered RF threat detection platform

Signal Processing Engineer

Electrical EngineeringConfirmed live in the last 24 hours

Full-timeEl Segundo, CA, USA

About the Job

Requirements

A master's degree in Electrical, Computer, or Systems Engineering with graduate study emphasis in Signal Processing; alternatively, a bachelor's degree in an Engineering discipline with 3–5 years of relevant signal-processing experience.
Strong digital signal-processing fundamentals and hands-on experience implementing and deploying DSP algorithms in software-defined radio systems on embedded processors, GPUs, and FPGAs.
Understanding of wireless communications algorithm design and implementation, including modulation and demodulation techniques such as QAM and OFDM, and signal detection and classification techniques.
Ability to contribute to production codebases in C/C++, Python, and MATLAB for algorithm development, analysis, and real-time signal processing.
Familiarity with multi-rate signal processing, polyphase filters, channelizers, beamforming, phase-coherent systems, and wireless performance metrics such as SNR, receiver sensitivity, SFDR, I/Q imbalance, and DC offset.
Strong proficiency with Linux development workflows, Git-based version control, and command-line use.
Willingness to support critical test events that occasionally require extended hours or weekends.
Ability to obtain and maintain a security clearance.
Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

Responsibilities

Design, characterize, and deliver digital signal-processing algorithms such as channelizers, frequency-agile detection, adaptive filters, MIMO, wideband detectors, and other algorithms related to signal sorting.
Write and contribute to existing code repositories in C/C++, Python, and MATLAB for analysis and real-time processing systems targeting embedded CPUs and GPUs.
Own requirements, ICDs, and verification from concept through delivery.
Track and incorporate advances in signal-processing techniques and associated technologies, including adaptive beamforming, RF machine learning, and resilient PNT for GPS-denied operations.

Desired Qualifications

Experience in defense.
Experience with electronic-warfare subsystems and payloads.
EA/ECM technique design, including deception, Digital RF Memory, and coherent or non-coherent techniques.
Communications-system design, including LPI/LPD and Waveform-of-Interest exploitation.
RF machine learning for emitter identification, modulation/classification, anomaly detection, and PDW creation.
Experience with ADS/AWR/SystemVue, MATLAB/Simulink, Python NumPy/SciPy, GNU Radio/SDR such as USRP/RFSoC, VITA-49, and HDL/firmware tools such as Vivado, Quartus, or Libero.
Active Secret clearance or ability to obtain and maintain one; TS/SCI eligibility preferred. Work involves ITAR/EAR-controlled information.
Periodic travel for flight tests and customer demonstrations/support.
PhD in Electrical Engineering, Computer Engineering, or a related field.
Builder-tester approach emphasizing first-principles RF, rapid lab iteration, and getting hardware flying quickly.

Salary Range: 140000 to 190000 (Currency: USD) (Pay period: per-year-salary)

CX2 is a next-generation defense technology company securing spectrum dominance for the United States and its allies. CX2 builds AI-enabled hardware and software platforms to detect, disrupt, and defend the electromagnetic spectrum across land, air, sea, and space. Headquartered in El Segundo, California, CX2 develops technology designed to give warfighters the ability to see, understand, and act across the invisible battlefield.

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal candidate has solid fundamentals in design, implementation and testing of signal processing techniques using MATLAB, Python and other existing frameworks. Experience in Defense is preferred.

This role requires an onsite presence in our El Segundo, CA HQ; a remote work environment is not considered for this opportunity.

Key Responsibilities

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers, frequency agile detection, adaptive filters, MIMO, wideband detectors, and other algorithms related to signal sorting
Write and contribute to existing code repositories (C/C++, Python, MATLAB) for analysis and real-time processing systems targeting embedded CPUs/GPUs (experience with FPGAs a big plus)
Own requirements, ICDs, and verification from concept through delivery
Stay current: Track and insert advances in signal processing techniques and associated technologies, adaptive beamforming, RF machine learning, and resilient PNT for GPS-denied ops.

Required Qualifications

Masters Degree in Electrical, Computer or Systems Engineering or related field with Graduate study emphasis in Signal Processing; OR a Bachelor’s Degree in an Engineering discipline with 3-5 years relevant working Signal Processing Experience
Strong digital signal processing fundamentals, with hands-on experience implementing and deploying DSP algorithms in software-defined radio systems on embedded processors, GPUs, and FPGAs.
Understanding of design and implementation of wireless communications algorithms, including modulation and demodulation techniques (e.g. QAM and OFDM) and signal detection and classification techniques
Ability to contribute to production codebases in C/C++, Python, and MATLAB for algorithm development, analysis, and real-time signal processing
Familiar with multi-rate signal processing, polyphase filters, channelizers, beamforming, phase coherent systems, and wireless performance metrics (e.g. SNR, receiver sensitivity, SFDR, I/Q imbalance, DC offset)
Strong proficiency with Linux development workflows, Git-based version control, and comfortable at the command-line
Willingness to support critical test events that occasionally require extended hours/weekends.
Ability to obtain and maintain a security clearance. Learn more about Security Clearances here.
Must be a U.S. Person (see ITAR Regulations below) due to required access to U.S. export-controlled information or facilities

Bonus Points

PhD in Electrical Engineering, Computer Engineering, or related field
5+ years’ experience with EW subsystems and payloads.
EA/ECM technique design (deception, Digital RF Memory, coherent/non-coherent techniques).
Comms system design (LPI/LPD, Waveform-of-Interest exploitation)
RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation
Tools Experience: ADS/AWR/SystemVue, MATLAB/Simulink, Python (NumPy/SciPy), GNU Radio/SDR (USRP/RFSoC), VITA-49; HDL/firmware experience also helpful (Vivado/Quartus/Libero).
Clearance: Active Secret or ability to obtain and maintain; TS/SCI eligibility preferred. ITAR/EAR-controlled work.
Field work: supporting periodic travel for flight tests and customer demonstrations/support
Mindset: Builder-tester who loves first-principles RF, rapid lab iteration, and getting hardware flying fast.

ITAR Regulations

To conform to U.S. Government export regulations, applicant must be a US Citizen, Green Card holder, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

What We Offer

Competitive salary, stock options and benefits, including health, vision and dental.
401K enrollment at 90 days.
Generous PTO + most Federal Holidays observed.
Collaborative and inclusive work environment.
Access to the latest tools and technologies.
High levels of responsibility and autonomy.
Professional growth and development opportunities.
Access to the hardest problems in electronic warfare.

*Please note our interview process concludes with in-person interview and whiteboarding exercise (required).

CX2 is a next-generation defense technology company securing spectrum dominance for the United States and its allies. We build AI-enabled hardware and software platforms to detect, disrupt, and defend the electromagnetic spectrum across land, air, sea, and space. Our systems are deployed in the most contested operational environments in the world. We’re backed by leading venture investors in the defense ecosystem and led by founders with track records at Meta, SpaceX, Epirus, and the U.S. Department of Defense.

Equal Opportunity Employer

CX2 is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law, including those with a criminal history, in compliance with the CA Fair Chance Initiative for Hiring Ordinance.

To view CX2's privacy policy, please visit: https://www.cx2.com/privacy

About the Company

CX2

Autonomous AI-powered RF threat detection platform

CX2 creates AI-enabled hardware and software to manage the electromagnetic spectrum for military use. Its platform autonomously detects, classifies, and counters RF threats at the tactical edge, providing spectrum awareness and the option to visually confirm threats via high‑resolution imaging, even in GPS-denied environments. The system is modular and hardware-agnostic, so it can be deployed on drones and vehicles, enabling faster updates and lower costs than traditional electronic warfare systems. The company aims to help the U.S. military and its allies rapidly identify and respond to RF threats, standing out through its leadership team’s blend of military, defense, and tech experience and its at‑the‑edge, AI-powered approach.

Company size: 51-200
Company stage: Series A
Total funding: $46M
Headquarters: El Segundo, CA
Founded: 2024

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