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Remote Signal Processing Postdoctoral 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 ...

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How much do remote signal processing postdoctoral jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote signal processing postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Signal Processing Postdoctoral Researcher, you need a Ph.D. in electrical engineering, computer science, or a related field, with expertise in signal processing theory and algorithms. Experience with programming languages such as Python or MATLAB, and familiarity with simulation tools or machine learning frameworks, is typically required. Strong analytical thinking, independent research skills, and effective written and verbal communication set outstanding candidates apart. These skills are crucial for advancing research, publishing results, and collaborating remotely with interdisciplinary teams.

What are some common challenges faced by remote signal processing postdoctoral researchers, and how can these be effectively managed?

Remote signal processing postdocs often encounter challenges such as limited access to specialized lab equipment, potential communication barriers with collaborators, and the need for strong self-motivation and time management. To address these, many researchers leverage cloud-based computing resources, regularly schedule virtual meetings, and participate in collaborative online platforms to stay connected with their teams. Setting clear research goals and maintaining open communication with supervisors can also help ensure ongoing progress and support while working remotely.

What is a Remote Signal Processing Postdoctoral researcher?

A Remote Signal Processing Postdoctoral researcher is a scientist who has recently completed their Ph.D. and conducts advanced research in signal processing—analyzing and interpreting signals such as audio, images, or sensor data—while working remotely. This position typically involves developing new algorithms, analyzing data, and publishing results in scientific journals. The 'remote' aspect means that the researcher can work from anywhere, collaborating with teams and contributing to projects online. These roles are common in fields like telecommunications, biomedical engineering, and geosciences.
More about Remote Signal Processing Postdoctoral jobs
What cities are hiring for Remote Signal Processing Postdoctoral jobs? Cities with the most Remote Signal Processing Postdoctoral job openings:
What are the most commonly searched types of Signal Processing Postdoctoral jobs? The most popular types of Signal Processing Postdoctoral jobs are:
What states have the most Remote Signal Processing Postdoctoral jobs? States with the most job openings for Remote Signal Processing Postdoctoral jobs include:
What job categories do people searching Remote Signal Processing Postdoctoral jobs look for? The top searched job categories for Remote Signal Processing Postdoctoral jobs are:
Remote Signal Processing Postdoctoral jobs near you
Infographic showing various Remote Signal Processing Postdoctoral job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $59,022 per year, or $28.4 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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