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Remote Signal Processing Engineer Jobs in Coraopolis, PA

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Strong written communication -- explaining why code fails, not just fixing it Process Overview ... Step 2: Coding Assessment (Unpaid) A ~90-minute Code Signal assessment, completed in one sitting ...

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Traffic Engineer

Pittsburgh, PA · On-site +1

$84K - $115K/yr

Design ITS, traffic signal, and lighting systems. * Design complex traffic control during ... Flexible work arrangements, including hybrid and remote opportunities where business needs allow

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

Senior Frontend Engineer

Pittsburgh, PA · Remote

$113K - $156K/yr

The position is based in Pittsburgh preferred, or remote, U.S.-based. Key Responsibilities ... Direct experience managing client-side request lifetimes, signal cancellation, timeouts, caching ...

Sr. Python Developer/Team Lead

Pittsburgh, PA · On-site +1

$130K - $160K/yr

Can be Remote within a 2 hour drive; Office located in Downtown Pittsburgh (free parking) Job Type ... Develop resilient ingestion and processing services that transform raw operational signals into ...

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Sr. Python Developer/Team Lead

Pittsburgh, PA · On-site +1

$130K - $160K/yr

Can be Remote within a 2 hour drive; Office located in Downtown Pittsburgh (free parking) Job Type ... Develop resilient ingestion and processing services that transform raw operational signals into ...

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Remote Signal Processing Engineer information

See Coraopolis, PA salary details

$51K

$125.3K

$184.5K

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

As of Sep 4, 2026, the average yearly pay for remote signal processing engineer in Coraopolis, PA is $125,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $140,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Signal Processing Engineer vs Remote Data Scientist?

AspectRemote Signal Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP, MATLAB, PythonBachelor's or Master's in Data Science, Statistics, Computer Science; proficiency in Python, R, SQL
Work EnvironmentEngineering labs, remote technical teams, hardware/software integrationData analysis teams, remote analytics platforms, cloud environments
Industry UsageTelecommunications, defense, audio/video processingFinance, healthcare, e-commerce, tech companies

Remote Signal Processing Engineers focus on developing algorithms for analyzing and processing signals in various industries, often working with hardware and software. Remote Data Scientists analyze large datasets to extract insights, primarily using statistical and machine learning techniques. While both roles require programming skills and data analysis knowledge, their core functions and industry applications differ significantly.

What are popular job titles related to Remote Signal Processing Engineer jobs in Coraopolis, PA?

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

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.