ZipRecruiter

Log In

2

Remote Signal Processing Jobs (NOW HIRING)

The Pennsylvania State University

$109.30K - $191K/yr

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are searching for a motivated and talented Signal Processing Research and ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are looking for a highly motivated Signal Processing Engineer to join the ...

The Pennsylvania State University

$76.70K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Software design * Signal Processing * FPGA development * Develop C/C++ or equivalent code to ...

next page

Showing results 1-20

People also search for

All JobsRemote Signal Processing Jobs

Remote Signal Processing information

See salary details

$53.5K

$131.3K

$193.5K

How much do remote signal processing jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote signal processing 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 Remote Signal Processing Engineer, and why are they important?

To thrive as a Remote Signal Processing Engineer, you need a strong background in electrical engineering, mathematics, and digital signal processing (DSP), usually backed by a relevant degree. Familiarity with software tools such as MATLAB, Python, and DSP libraries, as well as knowledge of remote communication protocols, is typically required. Excellent problem-solving abilities, independent work ethic, and effective remote communication skills help set top performers apart. These skills ensure accurate data analysis, efficient collaboration, and the successful development and deployment of signal processing solutions in distributed work environments.

What are some common challenges faced by professionals working in remote signal processing roles, and how can they be addressed?

One common challenge in remote signal processing roles is ensuring reliable data transmission and synchronization when working with distributed or cloud-based systems. Professionals often need to address latency, bandwidth limitations, and data integrity issues, especially when collaborating with geographically dispersed teams. Effective communication, robust data validation protocols, and leveraging version control tools can help mitigate these challenges. Additionally, staying updated with the latest remote collaboration technologies and workflow management tools can streamline project progress and enhance team productivity.

What is remote signal processing?

Remote signal processing involves analyzing and interpreting signals, such as audio, video, or sensor data, from a distance using digital tools and algorithms. Professionals in this field work remotely to develop and implement software solutions that process various types of signals for applications like telecommunications, medical imaging, and radar systems. This job typically requires expertise in signal processing theory, programming, and sometimes machine learning, all of which can be done from a remote location using specialized software and collaborative tools.
More about Remote Signal Processing jobs
What cities are hiring for Remote Signal Processing jobs? Cities with the most Remote Signal Processing job openings:
What are the most commonly searched types of Signal Processing jobs? The most popular types of Signal Processing jobs are:
What states have the most Remote Signal Processing jobs? States with the most job openings for Remote Signal Processing jobs include:
What job categories do people searching Remote Signal Processing jobs look for? The top searched job categories for Remote Signal Processing jobs are:
Remote Signal Processing jobs near you
Infographic showing various Remote Signal Processing job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% 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.

#J-18808-Ljbffr

Apply