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Speech Signal Processing Jobs (NOW HIRING)

Vatic Labs

AI Researcher

New York, NY

$175K - $250K/yr

NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary. * Ability to generate impactful research in academic or professional ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary. * Ability to generate impactful research in academic or professional ...

Vatic Labs

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary. * Ability to generate impactful research in academic or professional ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In ...

Bose Corporation

DSP Engineer - Audio Tech

Framingham, MA · On-site

$147K - $171K/yr

You will contribute to a broad set of technologies including audio signal processing, speech and voice processing, noise reduction, and microphone array systems , and gain experience adapting ...

Boseallaboutme

DSP Engineer - Audio Tech

Framingham, MA

$147K - $171K/yr

You will contribute to a broad set of technologies including audio signal processing, speech and voice processing, noise reduction, and microphone array systems , and gain experience adapting ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site

$86K - $135K/yr

Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In ...

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Speech Signal Processing information

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$15

$43

$69

How much do speech signal processing jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for speech signal processing in the United States is $43.92, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $51.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Speech Signal Processing Engineer, and why are they important?

To thrive as a Speech Signal Processing Engineer, you need a solid background in digital signal processing, mathematics, and programming, usually supported by a degree in electrical engineering, computer science, or a related field. Familiarity with tools and languages such as MATLAB, Python, TensorFlow, and experience with speech recognition frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills are important soft skills for this position. These competencies are essential for developing robust speech systems, ensuring accurate processing, and collaborating efficiently within multidisciplinary teams.

What is speech signal processing?

Speech signal processing is a field of study focused on analyzing, modifying, and synthesizing speech signals using digital techniques. It involves tasks such as noise reduction, speech recognition, speaker identification, and speech synthesis. Professionals in this area use mathematical algorithms and computer software to process recorded or live audio to improve clarity, extract information, or enable human-computer interactions. The applications of speech signal processing are widespread in telecommunications, assistive technology, and voice-activated systems.

What are some typical projects or tasks that a professional in Speech Signal Processing might work on within a multidisciplinary team?

As a Speech Signal Processing professional, you may collaborate with linguists, software engineers, and data scientists on projects such as developing automatic speech recognition (ASR) systems, enhancing voice assistants, or improving noise reduction algorithms. Daily tasks often include analyzing large datasets of speech, designing and testing algorithms, and integrating your solutions into larger products. Team-based work is common, requiring strong communication skills to bridge technical and non-technical perspectives. The dynamic nature of the field also means you'll often participate in research and experimentation to push the boundaries of what voice technology can achieve.

What is the difference between Speech Signal Processing vs Speech Recognition Engineer?

AspectSpeech Signal ProcessingSpeech Recognition Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fieldsBachelor's or Master's in similar fields, often with specialization in AI or machine learning
Work EnvironmentResearch labs, tech companies, academia, focusing on audio data analysisTech companies, startups, focusing on developing speech-to-text systems
Industry UsageUsed in audio enhancement, noise reduction, speech codingApplied in voice assistants, transcription services, voice-controlled devices

Speech Signal Processing involves analyzing and improving speech audio signals, while Speech Recognition Engineers focus on converting speech into text. Both roles require similar technical backgrounds but differ in their primary objectives and applications within the industry.

More about Speech Signal Processing jobs
What states have the most Speech Signal Processing jobs? States with the most job openings for Speech Signal Processing jobs include:
What job categories do people searching Speech Signal Processing jobs look for? The top searched job categories for Speech Signal Processing jobs are:
Speech Signal Processing jobs near you
Infographic showing various Speech Signal Processing job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 41% Full Time, 48% Part Time, and 8% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $91,346 per year, or $43.9 per hour.
Signal Processing Engineer (RF/Acoustics)

Signal Processing Engineer (RF/Acoustics)

Cutsforth, Inc

Ferndale, WA • On-site, Remote

$98K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Role Information:
  • Job Title: Signal Processing Engineer (RF/Acoustics)
  • Work Location: Fully remote position, home office- can NOT be located in NY, CA or IL
  • Employment Type: Full-time
  • Employment Status: Exempt, salaried
  • Visa sponsorship is not available for this position.
  • Must reside in the United States.
  • We are not accepting applicants for remote workers in California, Illinois, and New York at this time.
Alignment with Corporate Values:
All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth's Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.
  • Learn more about Cutsforth here: Cutsforth.com/About
  • Read our Mission & Values here: Cutsforth.com/Values
Compensation:
  • $98,837 - $154,546, depending on years of experience
Role Overview:
Applies data science and machine learning to the analysis of radio frequency and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights. Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions across industrial, communications, and defense-adjacent applications. Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking.
Key Responsibilities:
  • Design and develop signal processing pipelines and machine learning models that operate on RF, acoustic, and time-series sensor data, including beamforming, BSS, spectral subtraction, matched filtering, wavelet decomposition, and time-frequency analysis techniques.
  • Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable.
  • Perform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomalies.
  • Analyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detection.
  • Use asset monitoring sensor data as measurement to characterize and validate signal data.
  • Apply data-driven signal processing methods to characterize and isolate faults at the subsystem, component, and LRU level - identifying root causes from spectral, RF, and acoustic sensor data in complex industrial systems.
  • Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments.
  • Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions.
  • Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders.
  • Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.
Required Qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required.
  • 5+ years of professional experience in data science, machine learning, or applied signal processing, with demonstrated work on RF, acoustic, ultrasonic, or communications signal data.
  • Direct industry experience in one or more of: Aerospace, Telecommunications, Military/Defense communications, Industrial Acoustics, or RF/Electronic Systems.
  • Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio data.
  • Proficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow).
  • Demonstrated use of RF measurement and analysis workflows, including use of spectrum analyzers, network analyzers, signal generators, and oscilloscopes in a professional engineering context.
  • Strong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spaces.
  • Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences.
  • Knowledge of Electromagnetic Compliance techniques.
Preferred Qualifications:
  • Master's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related field.
  • Experience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systems.
  • Experience working with wireless protocols (4G/LTE, 5G, or military-equivalent).
  • Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining.
  • Familiarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environments.
  • Background in military communications systems, avionics radar, or cellular infrastructure signal analysis.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, Docker, Airflow, CI/CD pipelines).
  • Experience with multimodal data fusion, edge ML deployment, or physics-informed modeling approaches.
  • Active participation in the broader signal processing or data science community through publications, open-source projects, or conference presentations.
  • Amateur (Ham) Radio license or comparable hands-on RF communications background.
Other Qualifications:
  • Successfully pass background check for cybersecurity site access.
  • Strong foundation in signal processing theory and application, including experience with RF, acoustic, or time-series data in a professional setting.
  • Proficiency in Python for data manipulation, signal processing, and model development (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow).
  • Ability to work with uncertainty and incomplete information - comfortable forming and testing hypotheses when ground truth is limited.
  • Clear communicator capable of translating technical signal processing and ML findings to non-specialist audiences.
  • Self-directed and effective working remotely across cross-functional teams.
  • Must reside in the United States; not accepting applicants in California, Illinois, or New York.
Cybersecurity Role Expectations:
  • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
  • Candidate is expected to maintain a cybersecure work environment.
Benefits:
  • Paid Time Off
  • Medical, Vision, Dental Insurance
  • Health Savings Account with Employer contributions
  • 401(k) with Employer match
  • Short-term & Long-term Disability Coverage
  • Accidental Death & Dismemberment Coverage
  • Life Insurance Coverage
  • Eight paid holidays per year
  • All other benefits required by applicable law

Alignment with Corporate Values
All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth's Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.
  • Learn more about Cutsforth here: Cutsforth.com/About
  • Read our Mission & Values here: Cutsforth.com/Values

Equal Employment Opportunity Statement:
Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.
For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants
California Privacy Notice:
If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.
For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

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