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Signal Processing Engineer Jobs (NOW HIRING)

Cypress HCM

Signal Processing Engineer

Redwood City, CA

$150 - $190K/hr

Signal Processing Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services Position Reporting To: Principal Engineer Dynamic Bay Area startup is seeking a Signal Processing ...

Code Metal

Signal Processing Engineer

Manhattan, NY · On-site

Code Metal is seeking a highly capable and motivated Signal Processing Engineer with 5-7 years of experience to join our US-based team.This is a technical, remote position ideal for someone who ...

Neuralink

Signal Processing Engineer

Austin, TX

$121K - $230.50K/yr

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that ...

CoVar

Signal Processing Engineer

Durham, NC · On-site

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

Apex Systems

Signal Processing Engineer

Atlanta, GA

$95K - $160K/yr

Job#: 3034865 Signal Processing Engineer Location: Atlanta, Georgia Employment Type: Contract to Perm Job Location Requirement: Onsite Security & Citizenship Requirements Candidates must be able to ...

Apex Systems

Signal Processing Engineer

Atlanta, GA · On-site

$95K - $160K/yr

Signal Processing Engineer Location: Atlanta, Georgia Employment Type: Contract to Perm Job Location Requirement: Onsite Security & Citizenship Requirements Due to U.S. federal research contract ...

Norbert Health

Signal Processing Engineer

Brooklyn, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that ...

Neuralink

Signal Processing Engineer

Austin, TX · On-site

$121K - $230.50K/yr

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this ...

Array Labs

Signal Processing Engineer

Redwood City, CA · On-site

$150K - $300K/yr

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 ...

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$53.5K

$131.3K

$193.5K

How much do signal processing engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for 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 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 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 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.

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.

More about Signal Processing Engineer jobs
What cities are hiring for Signal Processing Engineer jobs? Cities with the most Signal Processing Engineer job openings:
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What states have the most Signal Processing Engineer jobs? States with the most job openings for Signal Processing Engineer jobs include:
What job categories do people searching Signal Processing Engineer jobs look for? The top searched job categories for Signal Processing Engineer jobs are:
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Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.

Signal Processing Engineer

FYRE Global Limited

Seattle, WA • Remote

Full-time

Posted 19 days ago

Job description

Signal Processing Engineer – Maritime Infrastructure (US, Remote + Quarterly Seattle Visits) Are you the kind of Signal Processing Engineer who likes sitting right at the boundary between hard physics, messy real‐world signals, and cutting‐edge AI? This is a chance to join a very small, well‐funded US stealth startup building frontier undersea / maritime infrastructure – think national‐scale security and next‐generation subsea telecom. You'll be one of the first hires (headcount The environment is early‐stage and highly technical: lots of unknowns, lots of experimentation, and very high expectations.

If you enjoy hacking on real signals, shaping architectures, and using modern AI tools as part of your workflow, this will feel like home. What you'll be doing: Designing and building digital signal processing (DSP) pipelines for high‐volume data coming from distributed maritime / fiber‐based sensing systems Taking raw, noisy, physical signals all the way through decoding, denoising, feature extraction, and into robust, decision‐useful outputs Working closely with the CEO on fiber/optics and DAS/SOP concepts, and with the CTO on integrating your work into the broader hardware/software stack Collaborating with an external ML team so your DSP outputs feed scalable training and inference workflows Helping shape lab and remote experimentation flows – data capture, replay harnesses, automated test runs, configuration management Documenting algorithms, trade‐offs, and system behavior so the platform can scale beyond initial prototypes What we're looking for: Strong, hands‐on experience with digital signal processing (DSP) as a core part of your recent work Solid foundation in physics and/or mathematics (e.g. EE, applied physics, applied math) and comfortable reasoning from first principles Proven experience working with high‐volume data and the practicalities that come with it (throughput, performance, data handling, debugging at scale) A genuine hacker mentality – you like ambiguous, hard problems, moving quickly, and wiring up real lab systems, not just polishing slide decks You already use modern AI tools (LLMs, code assistants, etc.) in your day‐to‐day work and can explain how you integrate and debug them US citizen, comfortable working in a defence‐adjacent / national‐security context Nice to have (but not required): Experience with FPGAs, GPUs, or other accelerators for DSP workloads Background in optical / fiber sensing – especially DAS (Distributed Acoustic Sensing) or SOP (State of Polarization) Experience in domains like seismology, geophysical measurement, or other large‐scale physical sensing systems Location & setup: US‐based, primarily remote Occasional travel to the Seattle area lab (roughly once per quarter, give or take) for on‐site experiments and deep‐dive working sessions with the team If you're a Signal Processing Engineer who wants to work on real hardware, real physics, and real national‐scale problems – while having serious influence over the direction of the system – this is worth a conversation.

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