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Statistical Signal Processing Jobs (NOW HIRING)

Array Labs

Signal Processing Engineer

Redwood City, CA

$150K - $300K/yr

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 ...

Array Labs

Signal Processing Engineer

Redwood City, CA · On-site

$150K - $300K/yr

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 ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure) * Experience ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure) * Experience ...

Apex Systems

Signal Processing Engineer

Atlanta, GA

$95K - $160K/yr

Apply mathematical, statistical, and computational techniques to generate algorithms for processing digital or analog signals. * Utilize engineering and mathematical principles to compose algorithm ...

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How much do statistical signal processing jobs pay per year?

As of May 31, 2026, the average yearly pay for statistical signal processing in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a Statistical Signal Processing job?

A Statistical Signal Processing job involves analyzing signals using probabilistic and statistical methods to extract useful information, reduce noise, and make predictions. Professionals in this field work with algorithms for applications in communications, radar, audio processing, finance, and biomedical engineering. They use tools like Bayesian estimation, Kalman filtering, and spectral analysis to enhance signal interpretation and decision-making. The role often requires expertise in mathematics, programming, and data analysis to develop efficient signal processing techniques.

What are the key skills and qualifications needed to thrive in the Statistical Signal Processing position, and why are they important?

To thrive in Statistical Signal Processing, you need strong quantitative and analytical abilities, a background in mathematics or electrical engineering, and experience with probability, statistics, and signal processing concepts. Proficiency with programming languages such as MATLAB or Python, as well as familiarity with simulation tools and relevant certifications like Certified Signal Processing Professional (CSPP), is highly valuable. Problem-solving abilities, effective communication, and teamwork skills help you excel in cross-functional project environments. These competencies are crucial for accurately analyzing data, developing robust models, and delivering effective solutions to complex signal processing challenges.

What are some common challenges faced by professionals working in Statistical Signal Processing roles?

One common challenge is managing noisy or incomplete data, which requires advanced statistical techniques to extract meaningful information from real-world signals. Professionals in this field often need to stay updated with rapidly evolving algorithms and technologies, which can demand ongoing learning and adaptation. Additionally, collaborating across interdisciplinary teams—including software developers, engineers, and scientists—requires clear communication of complex concepts. By developing strong analytical and teamwork skills, you can effectively address these challenges and contribute valuable insights to your organization.
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Statistical Signal Processing jobs near you
Infographic showing various Statistical Signal Processing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Signal Processing Engineer

Signal Processing Engineer

Array Labs

Redwood City, CA

Full-time

Posted 21 days ago

Job description

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.