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Remote Signal Processing Research Jobs in Pittsburgh, PA

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... If you would like more information about how your data is processed, please contact us.

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Clinical Research Coordinator III

Carnegie, PA · Remote

$24.75 - $33/hr

Combination of On-Campus or Remote determined by the department. Schedule: Varied based on ... process. Responsibilities: * Will work closely with the Principal Investigators (PIs), study staff ...

Collaborate on process improvements for overall reporting and analysis, while troubleshooting and ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

Collaborate on process improvements for overall reporting and analysis, while troubleshooting and ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

... signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering coursework, research, and ...

Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness & Adaptive ...

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Remote Signal Processing Research information

What is remote signal processing research?

Remote signal processing research involves analyzing and interpreting signals—such as audio, video, or sensor data—collected from remote sources. Researchers in this field develop algorithms and techniques to filter, enhance, and extract useful information from these signals, often using tools like machine learning. This work is vital in areas such as telecommunications, medical imaging, and environmental monitoring. The 'remote' aspect means that researchers can perform these tasks from locations outside of traditional labs or offices, often collaborating online.

What are the key skills and qualifications needed to thrive as a remote signal processing researcher?

To excel as a Remote Signal Processing Researcher, you need a strong background in mathematics, signal processing theory, and programming, typically supported by an advanced degree in electrical engineering or a related field. Familiarity with MATLAB, Python (NumPy/SciPy), and simulation tools, along with experience in data analysis and machine learning frameworks, is highly valuable. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for remote collaboration and independent research. These competencies are vital for developing innovative solutions, publishing impactful research, and effectively contributing to distributed research teams.

What are some typical challenges faced when working remotely in a signal processing research role?

Working remotely in Signal Processing Research often involves coordinating with multidisciplinary teams across different time zones, which can make real-time collaboration and problem-solving more challenging. Additionally, accessing specialized hardware or laboratory equipment may be limited, requiring creative solutions for simulation and data analysis. However, most organizations provide robust digital collaboration tools and remote access to computational resources, allowing researchers to effectively contribute to projects and publications. Open communication and proactive project management are key to overcoming these challenges.

What is the difference between Remote Signal Processing Research vs Remote Audio Signal Processing Engineer?

AspectRemote Signal Processing ResearchRemote Audio Signal Processing Engineer
Required CredentialsAdvanced degrees in electrical engineering, signal processing, or related fieldsBachelor's or master's in electrical engineering, audio engineering, or similar
Work EnvironmentResearch labs, universities, or corporate R&D teams, often focused on innovationProduct development teams, audio technology companies, or consumer electronics firms
Industry UsagePrimarily in research institutions, academia, or R&D departmentsIn manufacturing, software development, and consumer electronics industries

Remote Signal Processing Research involves exploring new algorithms and theories in signal processing, often within academic or R&D settings. In contrast, Remote Audio Signal Processing Engineers focus on applying existing techniques to develop audio products and solutions. Both roles require strong technical skills, but their focus and work environments differ significantly.

What are popular job titles related to Remote Signal Processing Research jobs in Pittsburgh, PA?

For Remote Signal Processing Research jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Signal Processing Research jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Signal Processing Research jobs in Pittsburgh, PA are:

Infographic showing various Remote Signal Processing Research job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

FPGA / Digital Signal Processing Engineer (Secret)/(Hybrid) (Remote)

AstroNetix

Canonsburg, PA • Remote

$133K - $170K/yr

Full-time

Re-posted 17 days ago


Job description

Position Overview

We are seeking an FPGA-focused Digital Signal Processing Engineer to support U.S. Naval systems requiring real-time signal analysis, algorithm development, and hardware implementation. This role supports mission-critical sensing, communications, and processing capabilities deployed in maritime environments.

The engineer will analyze signal requirements, develop and validate algorithms in MATLAB, and translate those designs into VHDL implementations on FPGA platforms. Work will be performed in a hybrid environment, with periodic on-site support aligned to program and integration needs.

Key Responsibilities
  • Perform requirements analysis and characterize signal behavior, including bandwidth, noise, timing, and performance constraints.

  • Develop and validate DSP algorithms using MATLAB and simulation frameworks.

  • Translate MATLAB-based algorithms into VHDL for FPGA implementation.

  • Implement, integrate, and optimize FPGA designs to meet real-time processing requirements.

  • Support verification, validation, and test activities, including simulation, hardware bring-up, and troubleshooting.

  • Collaborate with systems, hardware, and software engineers to ensure end-to-end performance alignment.

  • Support documentation and technical reviews in accordance with Naval and DoD engineering standards.

Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field.

  • Strong foundation in Digital Signal Processing concepts and applications.

  • Demonstrated experience developing DSP algorithms in MATLAB.

  • Hands-on experience implementing designs in VHDL for FPGA platforms.

  • Experience with FPGA simulation and verification workflows.

  • Ability to work effectively in a hybrid environment supporting classified or sensitive programs.

Preferred Qualifications
  • Experience supporting U.S. Navy or DoD systems.

  • Familiarity with maritime sensing, communications, radar, EW, or embedded signal processing systems.

  • Experience translating algorithms from high-level models into hardware-optimized implementations.

  • Exposure to FPGA toolchains such as Xilinx or Intel (Altera).

  • Active or eligible DoD Security Clearance (Secret or higher).

Work Environment
  • Hybrid: Combination of remote work and on-site support at Naval or contractor facilities.

  • Contract-contingent: Position is dependent upon contract award.

  • On-site presence required for integration, test, and program milestones.

Why This Role Matters

This role directly supports operational Naval capability, translating advanced signal processing theory into real hardware that performs in contested, real-world maritime environments. It's hands-on, technical, and mission-critical, not a paper-only engineering seat.