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Signal Processing Jobs in Seattle, WA (NOW HIRING)

Amazon

Sr. FPGA Engineer, Amazon Leo

Redmond, WA · On-site

$145K - $187K/yr

Key Responsibilities: - Lead FPGA design and implementation for complex digital signal processing systems in satellite communication applications - Drive FPGA projects through the complete product ...

SpaceX

Wireless Software Engineer (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

Firmware, embedded, and signal processing software running on custom hardware that flies the world's largest fleet of spacecraft. * Cutting-edge networking algorithms capable of connecting thousands ...

Amazon

Sr. FPGA Engineer, Amazon Leo

Redmond, WA

$145K - $187K/yr

Key Responsibilities: - Lead FPGA design and implementation for complex digital signal processing systems in satellite communication applications - Drive FPGA projects through the complete product ...

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All JobsSignal Processing JobsSignal Processing Jobs in Seattle, WA

Signal Processing information

See Seattle, WA salary details

$60.9K

$149.6K

$220.3K

How much do signal processing jobs pay per year?

As of Jul 24, 2026, the average yearly pay for signal processing 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 in the Signal Processing position, and why are they important?

To thrive in Signal Processing, a strong background in mathematics, digital signal processing algorithms, and relevant engineering or computer science degrees is essential. Familiarity with tools such as MATLAB, Python, LabVIEW, and industry-standard DSP hardware platforms, as well as certifications in signal processing or related fields, is often required. Sharp analytical thinking, attention to detail, and effective teamwork and communication skills are highly valued. These competencies enable professionals to design, analyze, and optimize systems that process real-world signals efficiently and accurately.

What is a Signal Processing job?

A Signal Processing job involves analyzing, modifying, and interpreting signals, such as audio, video, sensor data, or electromagnetic waves, to extract useful information or improve their quality. Professionals in this field apply mathematical and algorithmic techniques to filter noise, compress data, and enhance signal clarity. They work in industries like telecommunications, medical imaging, audio processing, and radar systems. Typical tasks may include designing filters, implementing machine learning models for pattern recognition, and optimizing digital communication systems. Knowledge of programming languages like MATLAB or Python and expertise in digital signal processing (DSP) techniques are often required.

What can I do with signal processing?

Signal processing professionals analyze, modify, and interpret signals such as audio, video, and sensor data to improve communication, data transmission, and system performance. They use tools like MATLAB, Python, and specialized hardware to develop algorithms for filtering, compression, and noise reduction, often working in industries like telecommunications, audio engineering, and medical imaging.

Is signal processing a good career?

Signal processing is a specialized field within engineering and computer science that involves analyzing, modifying, and interpreting signals such as audio, video, and sensor data. It offers opportunities in industries like telecommunications, aerospace, and healthcare, often requiring knowledge of algorithms, programming, and tools like MATLAB or Python. The career can be stable and well-paying for those with relevant skills and advanced education.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, and while AI techniques are increasingly integrated into signal analysis, DSP skills remain essential for designing and implementing real-time systems. AI can augment DSP tasks but does not fully replace the need for expertise in traditional signal processing methods and tools. Signal processing roles often require knowledge of algorithms, hardware, and software, which are complementary to AI advancements.

What are some common career paths for professionals in Signal Processing?

Signal Processing professionals often start as engineers or analysts, working on tasks like algorithm development, filtering, and noise reduction in applications such as telecommunications, audio, or radar systems. With experience, individuals can progress to roles such as senior engineer, project lead, or research scientist, and may branch into areas like embedded systems, machine learning, or systems architecture. The field frequently offers opportunities to collaborate closely with cross-functional teams including hardware engineers, software developers, and data scientists. Advancing your education, obtaining specialized certifications, or gaining expertise in emerging technologies can further enhance your career prospects in this dynamic and evolving discipline.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, or aerospace engineering can earn $500,000 or more annually, especially with experience, bonuses, and stock options. High-level roles often require advanced skills, certifications, and leadership responsibilities.
What are the most commonly searched types of Signal Processing jobs in Seattle, WA? The most popular types of Signal Processing jobs in Seattle, WA are:
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What job categories do people searching Signal Processing jobs in Seattle, WA look for? The top searched job categories for Signal Processing jobs in Seattle, WA are:
Signal Processing jobs near you
Infographic showing various Signal Processing job openings in Seattle, WA as of July 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 88% In-person, and 12% 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 23 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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