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Remote Biomedical Signal Processing Engineer Jobs in Pittsburgh, PA

Lochner

Traffic Engineer

Pittsburgh, PA · On-site +1

Design ITS, traffic signal, and lighting systems. * Design complex traffic control during ... Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ...

Varsity Tutors

Electrical Engineering Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

... signal processing, control systems, and communication systems. Ability to explain Thevenin and ... Emphasizes mathematical rigor in engineering analysis and connects electrical engineering to power ...

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All JobsBiomedical Signal Processing Engineer JobsRemote Biomedical Signal Processing Engineer JobsRemote Biomedical Signal Processing Engineer Jobs in Pittsburgh, PA

Remote Biomedical Signal Processing Engineer information

See Pittsburgh, PA salary details

$51.9K

$127.5K

$187.9K

How much do remote biomedical signal processing engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote biomedical signal processing engineer in Pittsburgh, PA is $127,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $143,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote biomedical signal processing engineers, and how can they be addressed?

Remote Biomedical Signal Processing Engineers often face challenges related to collaborating with interdisciplinary teams, ensuring data security, and accessing necessary hardware for testing algorithms. To overcome these, it's important to establish clear communication channels with colleagues, make use of secure data transfer protocols, and leverage remote access to lab equipment or simulators when possible. Regular virtual meetings and documentation can help maintain alignment with project goals and facilitate effective teamwork.

What does a remote biomedical signal processing engineer do?

A Remote Biomedical Signal Processing Engineer analyzes and interprets physiological signals—such as ECG, EEG, or EMG—using advanced computational and mathematical methods. They work remotely to develop algorithms and software that aid in medical diagnostics, patient monitoring, and healthcare research. Their role often involves cleaning, filtering, and extracting meaningful information from complex biological data to support clinical decisions or scientific studies. Collaboration with medical professionals and teams is common, and strong knowledge of signal processing, biomedical engineering, and programming is essential.

What is the difference between Remote Biomedical Signal Processing Engineer vs Remote Medical Data Analyst?

AspectRemote Biomedical Signal Processing EngineerRemote Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; knowledge of signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on signal dataHealthcare organizations, research institutions; focus on large datasets
Employer & Industry UsageMedical device companies, biotech firms, hospitalsHealthcare providers, research organizations, health tech startups

While both roles involve working with healthcare data, Remote Biomedical Signal Processing Engineers focus on analyzing and developing algorithms for biomedical signals like ECG or EEG. Remote Medical Data Analysts interpret large health datasets to derive insights. The roles differ mainly in technical focus and data types but often collaborate within healthcare tech environments.

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

To thrive as a Remote Biomedical Signal Processing Engineer, you need expertise in signal processing, biomedical engineering, and a strong background in mathematics and statistics, usually supported by a relevant degree. Familiarity with tools like MATLAB, Python (NumPy, SciPy), and experience with medical device data protocols and regulatory standards are commonly required. Strong problem-solving, self-motivation, and clear communication skills help you work effectively in a remote, interdisciplinary environment. These abilities are crucial for developing accurate, regulatory-compliant solutions that improve healthcare outcomes while collaborating remotely with diverse teams.
What are popular job titles related to Remote Biomedical Signal Processing Engineer jobs in Pittsburgh, PA? For Remote Biomedical Signal Processing Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Signal Processing Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Remote Biomedical Signal Processing Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Biomedical Signal Processing Engineer jobs? Cities near Pittsburgh, PA with the most Remote Biomedical Signal Processing Engineer job openings:
Remote Biomedical Signal Processing Engineer jobs near you
Infographic showing various Remote Biomedical Signal Processing Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,516 per year, or $61.3 per hour.

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

AstroNetix

Canonsburg, PA • Remote

$133K - $170K/yr

Full-time

Re-posted 2 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.