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Signal Processing Engineer Jobs in Seattle, WA (NOW HIRING)

ManTech

Mechanical Engineer

Silverdale, WA · On-site

$77K - $128K/yr

Lead the design, development, and testing of specialized engineering projects associated with Navy acoustics, vibration analysis, and signal processing * Engineer modular data acquisition systems ...

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All JobsSignal Processing Engineer JobsSignal Processing Engineer Jobs in Seattle, WA

Signal Processing Engineer information

See Seattle, WA salary details

$60.9K

$149.6K

$220.3K

How much do signal processing engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for signal processing engineer in Seattle, WA is $149,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $168,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, DSP hardware platforms, and relevant certifications like Certified LabVIEW Developer are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate analysis, efficient design, and successful implementation of signal processing solutions in diverse technical environments.

What is the difference between Signal Processing Engineer vs Communications Engineer?

AspectSignal Processing EngineerCommunications Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, R&D departmentsTelecom companies, network providers, infrastructure firms
Industry UsageDesigning algorithms for audio, video, radar, and sensor dataDeveloping and maintaining communication systems and networks
Search & Comparison IntentFocuses on signal analysis, filtering, and data processingFocuses on network design, protocols, and transmission systems

While both roles involve electrical engineering principles, Signal Processing Engineers primarily develop algorithms for analyzing and filtering signals, whereas Communications Engineers focus on designing and maintaining communication systems and networks. The roles often overlap in telecommunications, but their core responsibilities differ based on the specific application and industry focus.

What does a Signal Processing Engineer do?

A Signal Processing Engineer designs, develops, and implements algorithms and systems to analyze, modify, and interpret signals such as audio, video, radar, or sensor data. They work with both analog and digital signals to extract meaningful information, improve signal quality, and enable communication between devices. Their work is essential in industries like telecommunications, healthcare (medical imaging), audio engineering, and defense. Signal Processing Engineers often use programming languages like MATLAB or Python, and work closely with hardware and software teams to optimize system performance.

What Does a Signal Processing Engineer Do?

A signal processing engineer is an information technologies expert that analyzes and alters digital signals to make them more accurate and reliable. As a signal processing engineer, your responsibilities are to develop, manage and update digital signals, creating algorithms to process them more efficiently. Qualifications for a signal processing engineer include a bachelor’s degree in electrical or computer engineering, math, or physics, and skills in various programming languages, like C++. You can find signal processing engineer jobs in a wide variety of industries from security to logistics.

What are some typical challenges Signal Processing Engineers face when working on real-time systems?

Signal Processing Engineers working on real-time systems often encounter challenges related to processing speed, latency, and resource constraints. They must design algorithms that efficiently handle large volumes of data without sacrificing accuracy, all while operating within the hardware's computational limits. Collaborating closely with hardware engineers and software developers is common to ensure seamless integration and optimal system performance. Staying updated with the latest advancements in digital signal processing (DSP) tools and techniques also helps address these challenges effectively.
More about Signal Processing Engineer jobs
What are the most commonly searched types of Signal Processing Engineer jobs in Seattle, WA? The most popular types of Signal Processing Engineer jobs in Seattle, WA are:
What are popular job titles related to Signal Processing Engineer jobs in Seattle, WA? For Signal Processing Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Signal Processing Engineer jobs in Seattle, WA look for? The top searched job categories for Signal Processing Engineer jobs in Seattle, WA are:
Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $149,563 per year, or $71.9 per hour.
Mixed-Signal Behavioral Modeling Engineer

Mixed-Signal Behavioral Modeling Engineer

K2 Space

Seattle, WA

$130K - $180K/yr

Other

Medical, Dental, Vision, Life, PTO

Posted 12 days ago

Job description

The Role 

We are seeking a Mixed-Signal Behavioral Modeling Engineer to own the creation of behavioral modeling and drive mixed-signal verification methodology from the ground up. You will be part of a collaborative design team developing state-of-the-art mixed-signal SoCs to be hosted on some of the largest, most powerful, rapidly designed and rapidly manufactured satellites ever deployed in space. Your work will directly influence top-level integration and silicon tapeout success. This is a high-impact, technical role with significant ownership across modeling, methodology, verification, and cross-functional alignment with RF, analog, and digital teams.  

Responsibilities 

  • Develop high-level behavioral models for analog and mixed-signal IP (ADCs, DACs, PLLs, LDOs, RF front-end blocks, biasing, amplifiers, etc.). 
  • Create abstracted models using Verilog, Verilog-AMS, or SystemVerilog. 
  • Develop regression infrastructure and mixed-signal testbenches enabling co-simulation (digital + analog). 
  • Integrate AMS models into digital verification environments (UVM-based). 
  • Define and build the mixed-signal verification methodology for top-level SoC and subsystem verification. 
  • Support architectural exploration through early-phase modeling and system-level simulations.  
  • Collaborate with analog/RF designers to capture real-world analog behaviors and map them into accurate behavioral abstractions. 
  • Work with digital and verification teams to ensure seamless integration of AMS models. 
  • Provide modeling and verification insights during architectural reviews, PDR/CDR, and silicon bring-up. 
  • Act as technical leader and subject-matter expert. 

Required Qualifications 

  • M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or related field. 
  • 2+ years of experience in analog/mixed-signal modeling and/or AMS verification. 
  • Hands-on experience with SystemVerilog, Verilog-AMS, wreal/RNM, or equivalent modeling languages. 
  • Strong understanding of analog/mixed-signal circuits (PLLs, LDOs, ADC/DACs, RF/IF paths, clocking, amplifiers). 
  • Experience with mixed-signal co-simulation environments (Cadence AMS Designer, Synopsys VCS AMS, or similar). 

Preferred Qualifications 

  • Experience building AMS verification methodologies from scratch. 
  • Familiarity with UVM-based verification and digital design flows. 
  • Knowledge of signal processing theory, RF system modeling, or communication systems. 
  • Experience with MATLAB/Simulink, Python modeling, or SystemC AMS for high-level architectural modeling. 
  • Experience working in cross-functional, geographically distributed teams.  

Compensation and Benefits:

  • Base salary range for this role is $130,000 - $180,000 + equity in the company
  • Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
  • Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks
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About K2 Space

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2022

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