Description
Signal Processing Engineer
Team: Engineering
Location: Palo Alto, CA
Commitment: Full-Time
Workplace Type: onsite
Array Labs builds advanced radar systems to help humanity understand and respond to changes across the physical world.
We’re launching a coordinated fleet of radar satellites to create a high-resolution 3D map of the Earth – updated in real time – enabling faster, smarter decision-making for government and commercial organizations supporting disaster response, infrastructure resilience, and mission-critical geopolitical intelligence.
We design and build our satellites end-to-end, producing the world’s most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness to power critical insights precisely where they’re needed most.
About the Job
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.
As part of our quickly growing engineering team, you will play a critical role in the design of the world’s most advanced radar satellite constellation—one that will significantly improve humanity’s ability to rapidly and comprehensively understand our changing planet.
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.
Interview Process
We will conduct interviews via Google Meet; the typical process takes around 2-4 weeks to complete from start to finish.
Hiring and Compensation Strategy
Our hiring and compensation strategy is simple:
1) find uncommonly good people
2) pay them uncommonly well
You can anticipate competitive pay, with high flexibility between salary and equity-based compensation.
Why Join Array Labs?
Array Labs is launching a constellation of satellites to create the first high-resolution, real-time, three-dimensional model of Earth. Our next-generation satellite technology will offer image quality 60x greater than traditional techniques, profoundly expanding humanity’s ability to understand and respond to events on a global scale.
In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.
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