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Flexible Signal Processing Engineer Jobs (NOW HIRING)

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 ...

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 ...

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

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 ...

Signal Processing Engineer

San Diego, CA · On-site

$87.10K - $157.45K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

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 ...

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 ...

Signal Processing Engineer

Arlington, VA · On-site

$87.10K - $157.45K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

Signal Processing Engineer

San Diego, CA · On-site

$87.10K - $157.45K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

Signal Processing Engineer

Arlington, VA · On-site

$87.10K - $157.45K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

Signal Processing Engineer

Arlington, VA · On-site

$87.10K - $157.45K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

$109.30K - $191K/yr

... talented Signal Processing Research and Development Engineer to join the Acoustic Data Science ... Questions related to flexible work should be directed to the hiring manager during the interview ...

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training ...

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Flexible Signal Processing Engineer information

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$53.5K

$131.3K

$193.5K

How much do flexible signal processing engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for flexible signal processing engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flexible Signal Processing Engineer, and why are they important?

To excel as a Flexible Signal Processing Engineer, you need a solid background in digital signal processing (DSP), mathematics, and electrical engineering, often supported by a relevant degree. Familiarity with tools like MATLAB, Simulink, Python, and programming languages such as C/C++, along with experience in FPGA or embedded systems, is typically required. Strong problem-solving abilities, adaptability, and effective communication help you manage complex projects and collaborate across multidisciplinary teams. These skills are crucial for developing innovative signal processing solutions and ensuring adaptability in dynamic technological environments.

What are the typical collaboration dynamics for a Flexible Signal Processing Engineer within a multidisciplinary team?

As a Flexible Signal Processing Engineer, you’ll often work closely with hardware engineers, software developers, and system architects to integrate your algorithms into broader systems. Collaboration usually includes regular design meetings, code reviews, and troubleshooting sessions to ensure seamless signal flow and system performance. You may be tasked with translating project requirements into technical specifications and providing feedback on cross-functional dependencies. Effective communication and adaptability are vital, as priorities can shift quickly depending on project milestones and client feedback.

What does a Flexible Signal Processing Engineer do?

A Flexible Signal Processing Engineer designs, develops, and implements algorithms and systems for processing signals—such as audio, video, radar, or communications signals—across a range of applications. The 'flexible' aspect refers to their ability to adapt to different platforms, technologies, and requirements, often working with both hardware and software solutions. These engineers use mathematical techniques and specialized tools to filter, analyze, and interpret raw data signals, improving performance and functionality. They often collaborate with cross-functional teams to integrate their solutions into larger systems, such as telecommunication devices or medical imaging equipment.

What is the difference between Flexible Signal Processing Engineer vs Digital Signal Processing Engineer?

AspectFlexible Signal Processing EngineerDigital Signal Processing Engineer
CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fieldsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentResearch labs, tech companies, telecommunications, aerospaceTelecommunications, consumer electronics, audio/video industries
Industry UsageFlexible, adaptable to various signal processing tasks and platformsSpecialized in digital signal algorithms and hardware/software implementation
Comparison FocusBroader scope, adaptable to multiple signal types and applicationsFocus on digital signals and processing techniques

The main difference is that a Flexible Signal Processing Engineer works across various signal types and platforms, offering adaptable solutions, while a Digital Signal Processing Engineer specializes in digital signals and algorithms. Both roles require similar educational backgrounds and are common in tech and communications industries, but their focus areas differ in scope and application.

What cities are hiring for Flexible Signal Processing Engineer jobs? Cities with the most Flexible Signal Processing Engineer job openings:
What are the most commonly searched types of Signal Processing Engineer jobs? The most popular types of Signal Processing Engineer jobs are:
What states have the most Flexible Signal Processing Engineer jobs? States with the most job openings for Flexible Signal Processing Engineer jobs include:
Signal Processing Engineer

Signal Processing Engineer

Array Labs

Redwood City, CA • On-site

Full-time

Posted 23 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.