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Remote Signal Processing Jobs in Ohio (NOW HIRING)

Alignerr

Electrical Engineering

New Bremen, OH · Remote

Remote Commitment: 10-60 hours/week What You'll Do Design Challenging Problems -- Craft advanced electrical engineering problems spanning circuit analysis, power systems, signal processing ...

Waypoint Human Capital

GEOINT Scientist

Dayton, OH · On-site +1

The individual will support advanced remote sensing exploitation functions through detailed ... Design and develop image and signal processing techniques to solve complex EO/IR and SAR ATR ...

Waypoint Human Capital

GEOINT Scientist

Dayton, OH · On-site +1

The individual will support advanced remote sensing exploitation functions through detailed ... Design and develop image and signal processing techniques to solve complex EO/IR and SAR ATR ...

Rosennxt

Workgroup Lead

Columbus, OH · On-site +1

$99K - $130.40K/yr

... kernels, implementing signal processing algorithms, implementing hardware abstraction layers ... Columbus This position is fully remote within the US East Coast, with preference for ...

Rosenxt

$99K - $130.40K/yr

... kernels, implementing signal processing algorithms, implementing hardware abstraction layers ... Columbus This position is fully remote within the US East Coast, with preference for candidates ...

MMB Solutions LLC

Systems Engineer

Dayton, OH · On-site +1

This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S ... Core network signaling (N1/N2/N3) * RRC signaling and RAN performance metrics * Supporting ...

SCRAM Systems

Inside Sales Representative (Remote)

OH · On-site +1

$32.24K - $80.56K/yr

... process, and schedule installations for one of our many safety devices. You'll also follow up with ... signals. * Excellent oral/written communication and interpersonal skills, including active and ...

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Remote Signal Processing information

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.
What are the most commonly searched types of Signal Processing jobs in Ohio? The most popular types of Signal Processing jobs in Ohio are:
What are popular job titles related to Remote Signal Processing jobs in Ohio? For Remote Signal Processing jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Signal Processing jobs in Ohio look for? The top searched job categories for Remote Signal Processing jobs in Ohio are:
What cities in Ohio are hiring for Remote Signal Processing jobs? Cities in Ohio with the most Remote Signal Processing job openings:
Remote Signal Processing jobs near you
Infographic showing various Remote Signal Processing job openings in Ohio as of May 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% Remote job distribution.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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