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

... signal processing. You will shape the long-term technical direction of audio hardware and ... MS/PhD in Acoustics, Physics, Mechanical Engineering, Electrical Engineering, or equivalent ...

Principal Radar Engineer- MTI

Redmond, WA · On-site

$195K - $250K/yr

Advanced degree (MS/PhD) in EE, Physics, Mathematics, Signal Processing, or related field * Spaceborne radar/SAR experience, including orbital-geometry impacts on MTI performance * Advanced tracking ...

Principal Radar Engineer- MTI

Redmond, WA · On-site

$195K - $250K/yr

Advanced degree (MS/PhD) in EE, Physics, Mathematics, Signal Processing, or related field * Spaceborne radar/SAR experience, including orbital-geometry impacts on MTI performance * Advanced tracking ...

Principal Radar Engineer- MTI

Redmond, WA · On-site

$195K - $250K/yr

Advanced degree (MS/PhD) in EE, Physics, Mathematics, Signal Processing, or related field * Spaceborne radar/SAR experience, including orbital-geometry impacts on MTI performance * Advanced tracking ...

Principal FPGA Engineer

Seattle, WA · On-site

$110K - $250K/yr

Implement FPGA acceleration for real-time image signal processing (ISP) and video enhancement pipelines. Qualifications: * Master's or PhD in Electrical Engineering, Computer Engineering, or a ...

Develop Analog/Mixed-Signal/RF/microwave circuits in SiGe or CMOS processes * Work with system ... Master's degree or PhD in electrical engineering or computer engineering with an emphasis in RF ...

Showing results 21-40

Phd Signal Processing information

See Seattle, WA salary details

$60.9K

$149.5K

$220.2K

How much do phd signal processing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for phd signal processing in Seattle, WA is $149,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $167,900.00 per year, depending on experience, location, and employer.

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

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

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What are popular job titles related to Phd Signal Processing jobs in Seattle, WA?

For Phd Signal Processing jobs in Seattle, WA, the most frequently searched job titles are:

What cities near Seattle, WA are hiring for Phd Signal Processing jobs?

Cities near Seattle, WA with the most Phd Signal Processing job openings:

Infographic showing various Phd Signal Processing job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $149,478 per year, or $71.9 per hour.

Research Acoustic Systems Engineer

Meta

Redmond, WA • On-site

$173K - $245K/yr

Full-time

Re-posted 20 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

Meta Reality Labs is seeking a Research Acoustic Systems Engineer to advance the science and engineering of audio systems for next-generation augmented and virtual reality devices, including wearables and smart glasses. In this role, you will define the acoustic architecture of future AR/VR products, driving research into spatial audio, microphone array design, loudspeaker systems, and acoustic signal processing. You will shape the long-term technical direction of audio hardware and algorithms, working at the intersection of acoustics research and consumer wearable product development to deliver transformative listening and communication experiences.
Responsibilities
Design, analyze, test, and validate acoustic systems for research hardware platforms
• Develop models of loudspeakers, microphones, and audio systems to inform design decisions
• Define objective audio performance targets and KPIs for research hardware
• Lead factory test design and specification for prototype and research builds
• Collaborate with mechanical engineers, software teams, and researchers to optimize acoustic trade-offs and evaluate audio algorithms
• Develop automated measurement tools and workflows for acoustic characterization, and document simulation results and technical reports
• Coordinate with key partners (Researchers, Mechanical Engineers, System Engineers, Leadership, Operations) to support new and ongoing projects
• Manage project schedules, milestones, delivery, and relationships with prototyping vendors and contract manufacturing partners
Minimum Qualifications
• 8+ years of experience in acoustic systems engineering, including transducer design, acoustic modeling, and system-level audio performance optimization
• Experience designing and characterizing microphone arrays and loudspeaker systems for consumer electronics or wearable devices
• Experience with acoustic simulation tools (e.g., FEM/BEM solvers such as COMSOL or similar) and measurement instrumentation for acoustic characterization
• Experience leading technical strategy and driving cross-functional alignment on acoustic architecture decisions across hardware, software, and product teams
• Experience defining objective and subjective audio evaluation methodologies
• Bachelor's degree in Acoustics, Physics, Mechanical Engineering, Electrical Engineering, or equivalent experience
Preferred Qualifications
• Experience developing automated measurement and tuning tools for audio system characterization and verification
• Experience publishing or presenting original research in acoustics, audio engineering, or a closely related field
• Experience in modeling complex multi-disciplinary systems
• Experience tuning real-time audio algorithms (e.g., EQ, dynamics processing, loudspeaker protection)
• Experience defining audio performance KPIs for hardware systems
• Familiarity with mechanical design principles, FEA, and advanced materials
• MS/PhD in Acoustics, Physics, Mechanical Engineering, Electrical Engineering, or equivalent experience
• Experience with acoustic test equipment such as CLIO, Klippel, SoundCheck, Audio Precision, or similar
• Familiarity with DSP fundamentals including digital filters, gain control, and dynamics processing
• Understanding of transducer design and digital signal processing
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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