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Signal Processing Engineer Jobs in Boston, MA (NOW HIRING)

STR

Senior Software Engineer (Signal Processing)

Woburn, MA · On-site

$134K - $176K/yr

The successful candidate will have demonstrated leadership skills and contributions in areas such as: radar, electronic warfare, digital signal processing, systems engineering, and test & evaluation.

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Signal Processing Engineer information

See Boston, MA salary details

$58.1K

$142.7K

$210.2K

How much do signal processing engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for signal processing engineer in Boston, MA is $142,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $160,200.00 per year, depending on experience, location, and employer.

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 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 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 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.

More about Signal Processing Engineer jobs

What are the most commonly searched types of Signal Processing Engineer jobs in Boston, MA?

The most popular types of Signal Processing Engineer jobs in Boston, MA are:

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For Signal Processing Engineer jobs in Boston, MA, the most frequently searched job titles are:

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The top searched job categories for Signal Processing Engineer jobs in Boston, MA are:

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Cities near Boston, MA with the most Signal Processing Engineer job openings:

Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $142,690 per year, or $68.6 per hour.

Senior Embedded Signal Processing Engineer for Undersea Systems

Woburn, MA • On-site

STR
See more jobs at STRexternal

$139K - $170K/yr

Full-time

Posted 5 days ago

Job description

About the Team:

The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems related to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications.

The Role:

The SSS  Group is hiring an embedded signal processing engineer to design, develop, and test embedded software implementing signal processing algorithms for distributed undersea acoustic systems. Key to this role is the ability to span signal processing theory & concepts, software development and coding practices, and development on real-time embedded processing hardware ranging from low size-weight-and-power (SWAP) to high performance.   

Strong embedded coding with a range of languages (C++, python if supported, etc.) and experience implementing signal processing algorithms on low-power processors is expected. A successful candidate will also have working knowledge in multiple of the following areas: interfacing with analog-to-digital and digital-to-analog converters, analog and digital filters, build development containers, software development practices, mathematics, and/or scientific computing.

What you will do:

  • Design, develop, and optimize real-time acoustic signal processing algorithms
  • Implement software on various hardware platforms, including low-SWAP processors, ARM processors, and server-class processors
  • Utilize development containers, git repositories, and Jira for efficient task management and collaboration
  • Ensure software meets stringent real-time and high-fidelity requirements
  • Collaborate with cross-functional teams to design, integrate, and validate software on target hardware for distributed undersea systems

Who You Are:

  • Signal Processing Knowledge: Solid understanding of acoustic signal processing principles and techniques with experience in acoustic array processing
  • Software Optimization Skills: Ability to optimize software for performance and resource constraints on low-SWAP processors
  • Optimization Algorithm Experience: Ability to apply optimization algorithms of various types to physical design and signal processing problems, for example adaptive signal processing
  • Embedded Systems Expertise: Strong experience in developing software for embedded systems, particularly on ARM processors and DSP boards.  Relevant experience may include for wearables and IOT devices
  • Real-Time Processing: Proven ability to design and implement real-time deterministic algorithms for acoustic signal processing
  • Programming Languages: Proficiency in low-level programming languages (C/C++) and high-level languages (MATLAB, Python)
  • Operating Systems: Experience with LINUX operating systems, particularly in embedded environments
  • Development Tools: Familiarity with development containers, version control systems (git), and task management tools (Jira)
  • Shell Command Proficiency: Skilled in using shell commands for debugging, monitoring system resources, managing processes, logging system activities, scripting routines, and debugging in Linux-based operating systems
  • Interface Proficiency: Proficiency with I2C, UART, and SPI interfaces for communication with hardware components
  • Collaboration: Strong team player with excellent communication skills and a collaborative mindset
  • Analytic Thinking and Communication: Strong Mathematical, troubleshooting, written, and verbal communication skills
  • Active Security Clearance with eligibility to support special access programs, for which U.S citizenship is needed by the U.S government

Even Better:

  • Autonomy software experience: Proficiency in Mission Oriented Operating Suite Interval Programming (MOOS-IvP) and Laboratory for Autonomous Marine Sensing Systems (LAMSS) use with embedded systems
  • Undersea Acoustic Experience: Demonstrated experience implementing embedded real-time signal processing software for undersea acoustic systems.
  • Experience with Active Noise control
  • Active Top Secret (TS) security clearance
  • Experience interacting with U.S. Navy and other U.S. Government organizations and processes
  • Experience with field testing the developed systems, especially at-sea testing including acoustic communications, data analysis to demonstrate at-sea performance, etc.

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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