Signal Processing Engineer, Radar Systems

Signal Processing Engineer, Radar Systems

Array Labs is launching a constellation of formation-flying radar satellites, enabling higher resolution, wider area imaging and instant 3D data capture which will power the first highly accurate, real-time, 3D model of the Earth. Our next-generation sensing technology will directly enable breakthroughs in climate science, autonomy, defense, and disaster response. We are seeking a Signal Processing Engineer to join our team and build the core algorithms that make this transformation possible. This is a unique opportunity to have a foundational impact on a first-of-its-kind system.

Responsibilities:

• Design, model, and implement novel digital signal processing (DSP) algorithms for our next-generation radar systems.
• Focus on critical areas such as pulse compression, Doppler processing, interference mitigation, and advanced filtering techniques to maximize signal quality.
• Collaborate closely with RF, FPGA, and software engineers to ensure algorithms are robust, efficient, and implementable in a real-time environment.
• Develop high-fidelity simulations in MATLAB or Python to validate algorithm performance against theoretical limits and system requirements.
• Analyze and characterize system performance using both simulated and real-world data, paying close attention to metrics like Signal-to-Noise Ratio (SNR), resolution, and ambiguity functions.
• Stay current with the latest advancements in signal processing and radar technology to continuously innovate and improve our capabilities.

Basic Qualifications:

• BS or MS in Electrical Engineering, Computer Science, Physics, or a related technical field.
• 3+ years of hands-on experience in digital signal processing.
• Demonstrated expertise in Digital Signal Processing (DSP) fundamentals (e.g., Fourier analysis, digital filter design, sampling theory, estimation theory).
• Proficiency in MATLAB or Python (with libraries like NumPy, SciPy) for algorithm development, modeling, and simulation.

Preferred Skills and Experience:

• PhD in Electrical Engineering, Computer Science, or a related field with a focus on signal processing.
• A strong background in optimal and adaptive filter design (e.g., Wiener, Kalman), statistical signal processing
• Familiarity with radar signal processing concepts (e.g., matched filtering, stretch processing, Synthetic Aperture Radar (SAR) imaging).
• Experience with implementing computationally intensive algorithms in C++ or on hardware platforms (FPGA, GPU).
• Experience with version control systems like Git and modern software development practices.
• A creative and analytical mindset, with a proven ability to solve complex, open-ended problems from first principles.

ITAR Requirements:

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Equal Opportunity Employer

• Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.

Citizenship Requirement

• U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

$150,000 - $400,000 a year

Interview Process Candidates can expect 2–4 weeks of interviews including Zoom and on-site technical discussions.

Why you should join Array Labs We're solving one of the hardest sensing problems in the world—from space. Our team is mission-driven, highly technical, and deeply collaborative. If you're excited by building technology that can reshape how humanity understands our planet, we'd love to hear from you.