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Signal Processing Engineer Jobs in Pittsburgh, PA

RF Cyber Lab Intern

Pittsburgh, PA

$14.50 - $19.50/hr

Signal processing fundamentals * Artificial neural networks design and implementation * Spiking temporal neural network implementation * Strong programming ability and analytical skills Job Function ...

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14 - $18.75/hr

Signal processing fundamentals * Artificial neural networks design and implementation * Spiking temporal neural network implementation * Strong programming ability and analytical skills Job Function ...

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14.50 - $19.50/hr

Signal processing fundamentals * Artificial neural networks design and implementation * Spiking temporal neural network implementation * Strong programming ability and analytical skills Job Function ...

Software Engineer III

Pittsburgh, PA · On-site

$55.75 - $75/hr

Software Engineer III Location: Pittsburgh, PA (5 days' on-site) Duration: 1 Year Contract We are ... Implement custom Python signal processing modules inside of Apache Airflow. * Implement data flow ...

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Showing results 1-20

Signal Processing Engineer information

See Pittsburgh, PA salary details

$51.9K

$127.5K

$187.9K

How much do signal processing engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for 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 the key skills and qualifications needed to thrive as a Signal Processing Engineer, and why are they important?

To thrive as a Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, DSP hardware platforms, and relevant certifications like Certified LabVIEW Developer are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate analysis, efficient design, and successful implementation of signal processing solutions in diverse technical environments.

What is the difference between Signal Processing Engineer vs Communications Engineer?

AspectSignal Processing EngineerCommunications Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, R&D departmentsTelecom companies, network providers, infrastructure firms
Industry UsageDesigning algorithms for audio, video, radar, and sensor dataDeveloping and maintaining communication systems and networks
Search & Comparison IntentFocuses on signal analysis, filtering, and data processingFocuses on network design, protocols, and transmission systems

While both roles involve electrical engineering principles, Signal Processing Engineers primarily develop algorithms for analyzing and filtering signals, whereas Communications Engineers focus on designing and maintaining communication systems and networks. The roles often overlap in telecommunications, but their core responsibilities differ based on the specific application and industry focus.

What does a Signal Processing Engineer do?

A Signal Processing Engineer designs, develops, and implements algorithms and systems to analyze, modify, and interpret signals such as audio, video, radar, or sensor data. They work with both analog and digital signals to extract meaningful information, improve signal quality, and enable communication between devices. Their work is essential in industries like telecommunications, healthcare (medical imaging), audio engineering, and defense. Signal Processing Engineers often use programming languages like MATLAB or Python, and work closely with hardware and software teams to optimize system performance.

What Does a Signal Processing Engineer Do?

A signal processing engineer is an information technologies expert that analyzes and alters digital signals to make them more accurate and reliable. As a signal processing engineer, your responsibilities are to develop, manage and update digital signals, creating algorithms to process them more efficiently. Qualifications for a signal processing engineer include a bachelor’s degree in electrical or computer engineering, math, or physics, and skills in various programming languages, like C++. You can find signal processing engineer jobs in a wide variety of industries from security to logistics.

What are some typical challenges Signal Processing Engineers face when working on real-time systems?

Signal Processing Engineers working on real-time systems often encounter challenges related to processing speed, latency, and resource constraints. They must design algorithms that efficiently handle large volumes of data without sacrificing accuracy, all while operating within the hardware's computational limits. Collaborating closely with hardware engineers and software developers is common to ensure seamless integration and optimal system performance. Staying updated with the latest advancements in digital signal processing (DSP) tools and techniques also helps address these challenges effectively.
What are the most commonly searched types of Signal Processing Engineer jobs in Pittsburgh, PA? The most popular types of Signal Processing Engineer jobs in Pittsburgh, PA are:
What are popular job titles related to Signal Processing Engineer jobs in Pittsburgh, PA? For Signal Processing Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Signal Processing Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Signal Processing Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Signal Processing Engineer jobs? Cities near Pittsburgh, PA with the most Signal Processing Engineer job openings:
Infographic showing various Signal Processing Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% 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 25 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.