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Statistical Signal Processing Jobs in Massachusetts

Senior Signal Processing Engineer Boston, MA Duties: Whoop, Inc. seeks a Senior Signal Processing ... At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Senior Signal Processing Engineer Boston, MA Duties: Whoop, Inc. seeks a Senior Signal Processing ... At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Senior Signal Processing Engineer Boston, MA Duties: Whoop, Inc. seeks a Senior Signal Processing ... At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Principal Systems Engineer

Wilmington, MA · On-site

$144K - $216K/yr

Knowledge of statistical signal processing and advanced control systems is a plus * Experience with MATLAB, LabVIEW, and ZEMAX is a plus. * Willingness to travel domestically and internationally (up ...

Knowledge of statistical signal processing and advanced control systems is a plus * Experience with MATLAB, LabVIEW, and ZEMAX is a plus. * Willingness to travel domestically and internationally (up ...

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Statistical Signal Processing information

See Massachusetts salary details

$92.3K

$160.9K

$271.9K

How much do statistical signal processing jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistical signal processing in Massachusetts is $160,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $174,700.00 per year, depending on experience, location, and employer.

Is signal processing a good career?

Signal processing is a strong career choice for those with skills in mathematics, algorithms, and programming, often involving tools like MATLAB or Python. It is used in fields such as telecommunications, audio and image processing, and radar systems, offering opportunities in research, development, and engineering roles with steady demand and competitive salaries.

Do DSP engineers make good money?

DSP (Digital Signal Processing) engineers typically earn competitive salaries due to their specialized skills in designing and implementing signal processing algorithms using tools like MATLAB and C++. Salaries vary based on experience, location, and industry, but the role generally offers strong compensation compared to many other engineering fields.

Is ML a high paying job?

Machine learning roles, including those in statistical signal processing, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but these positions are generally well-compensated compared to many other technical roles.

What are some common challenges faced by professionals working in Statistical Signal Processing roles?

One common challenge is managing noisy or incomplete data, which requires advanced statistical techniques to extract meaningful information from real-world signals. Professionals in this field often need to stay updated with rapidly evolving algorithms and technologies, which can demand ongoing learning and adaptation. Additionally, collaborating across interdisciplinary teams—including software developers, engineers, and scientists—requires clear communication of complex concepts. By developing strong analytical and teamwork skills, you can effectively address these challenges and contribute valuable insights to your organization.

What are the key skills and qualifications needed to thrive in the Statistical Signal Processing position, and why are they important?

To thrive in Statistical Signal Processing, you need strong quantitative and analytical abilities, a background in mathematics or electrical engineering, and experience with probability, statistics, and signal processing concepts. Proficiency with programming languages such as MATLAB or Python, as well as familiarity with simulation tools and relevant certifications like Certified Signal Processing Professional (CSPP), is highly valuable. Problem-solving abilities, effective communication, and teamwork skills help you excel in cross-functional project environments. These competencies are crucial for accurately analyzing data, developing robust models, and delivering effective solutions to complex signal processing challenges.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in large corporations or high-demand industries.

What is a Statistical Signal Processing job?

A Statistical Signal Processing job involves analyzing signals using probabilistic and statistical methods to extract useful information, reduce noise, and make predictions. Professionals in this field work with algorithms for applications in communications, radar, audio processing, finance, and biomedical engineering. They use tools like Bayesian estimation, Kalman filtering, and spectral analysis to enhance signal interpretation and decision-making. The role often requires expertise in mathematics, programming, and data analysis to develop efficient signal processing techniques.

What are popular job titles related to Statistical Signal Processing jobs in Massachusetts? For Statistical Signal Processing jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Statistical Signal Processing jobs in Massachusetts look for? The top searched job categories for Statistical Signal Processing jobs in Massachusetts are:
What cities in Massachusetts are hiring for Statistical Signal Processing jobs? Cities in Massachusetts with the most Statistical Signal Processing job openings:
Principal Scientist - Optics Signal Processing

Principal Scientist - Optics Signal Processing

STR

Woburn, MA • On-site

$220K - $250K/yr

Other

Posted 7 days ago


Job description

About the Team

The Maritime Domain Awareness Group (MDA) develops and delivers advanced signal processing algorithms and techniques for airborne radar and passive optical systems.

MDA fosters a culture of innovation, collaboration, and execution. We develop and analyze cutting edge algorithms for detection and exploitation of signals in high clutter and noise environments using both classical, physics-based approaches, and big data-driven artificial intelligence and machine learning (AI/ML) techniques. If you are seeking an opportunity to apply your deep technical knowledge and creativity in a fast-paced, challenging environment to make a lasting impact, we invite you to join us.

The Role

We are seeking a Principal Scientist to lead the development of next-generation signal processing capabilities for airborne passive optical sensing systems supporting critical national security missions. In this role, you will guide teams of scientists and engineers in designing advanced algorithms and processing architectures that enable the detection, characterization, and exploitation of targets operating in low signal-to-noise and highly cluttered environments.

You will apply first-principles physics, statistical signal processing, and advanced modeling and simulation to understand complex operational environments and drive the development of end-to-end processing solutions-from raw sensor phenomenology and calibration through detection, tracking, and classification. This role requires the ability to integrate knowledge across optics, sensing phenomenology, atmospheric effects, signal processing, and machine learning to develop robust solutions that transition from research prototypes into operational systems.

As a senior technical leader, you will help shape the technical vision and strategy for passive optical sensing within the organization, identifying emerging mission challenges, defining research directions, and guiding the development of technologies that address future operational needs.

What You Will Do:

  • Lead multidisciplinary teams in the design, development, and maturation of advanced signal processing algorithms for airborne passive optical sensing systems
  • Apply physics-based modeling and simulation to understand sensing phenomenology, clutter environments, and environmental effects impacting sensor performance
  • Architect and develop end-to-end processing chains, including sensor modeling, calibration, detection, tracking, and target classification algorithms
  • Identify and pursue novel algorithmic approaches for detecting and exploiting low-SNR signals in complex environments
  • Collaborate closely with program leadership, government sponsors, and external partners to shape technical direction and align research with mission needs
  • Mentor and guide scientists and engineers, helping develop the next generation of technical leaders within the organization
  • Drive the transition of research algorithms into operational software and deployed capabilities
  • Communicate technical vision and results through briefings, technical publications, and presentations to senior stakeholders and subject matter experts

Who You Are:

  • Ability to obtain and maintain a security clearance, for which U.S. citizenship is needed by U.S. Government
  • BA, or MS in Physics, Applied Mathematics, Electrical Engineering, or related technical discipline
  • 10-12+ years of relevant work experience
  • Expertise in two or more of the following areas:
    • Signal processing, Fourier analysis, linear estimation, optimization, adaptive signal processing, AI/ML algorithm development, algorithm development, modeling & simulation, systems engineering, optics modelling
  • Experience building and delivering technical briefs to peers, senior level executives, and customers
  • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
  • Experienced researcher and team member who is excited to work with mission partners to leverage cutting-edge technology and research for immediate impact
  • Excellent communicator and briefer, who is comfortable communicating with both technical and non-technical audiences
  • Strong mathematical, written, and verbal communication skills

Even Better:

  • Active Secret or TS/SCI Clearance
  • Demonstrated leadership of complex research, development, and engineering efforts
  • Experience with:
    • Passive optical technologies in the defense sector, particularly airborne, downward-looking sensors
    • Computer vision techniques such as feature identification/matching/tracking, optical flow, background subtraction, etc
    • Interacting with decision-makers and customers to translate mission needs into an end-to-end solution
  • Demonstrated ability to conceive, prototype, test, and mature novel algorithms for challenging sensors

Pay Information
Full-Time Salary Range: $220,000 - $250,000

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.