Signal Processing Engineer (RF/Acoustics)

Role Information:Job Title: Signal Processing Engineer (RF/Acoustics)Work Location: Fully remote position, home office- can NOT be located in NY, CA or ILEmployment Type: Full-timeEmployment Status: Exempt, salariedVisa sponsorship is not available for this positionMust reside in the United StatesWe are not accepting applicants for remote workers in California, Illinois, and New York at this timeAlignment 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/AboutRead our Mission & Values here: Cutsforth.com/ValuesCompensation:$98,837 - $154,546, depending on years of experienceRole 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 techniquesEvaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicablePerform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomaliesAnalyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detectionUse asset monitoring sensor data as measurement to characterize and validate signal dataApply 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 systemsContribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environmentsCollaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutionsCommunicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholdersExplore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriateRequired Qualifications:Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required5+ years of professional experience in data science, machine learning, or applied signal processing, with demonstrated work on RF, acoustic, ultrasonic, or communications signal dataDirect industry experience in one or more of: Aerospace, Telecommunications, Military/Defense communications, Industrial Acoustics, or RF/Electronic SystemsHands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio dataProficiency 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 contextStrong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spacesExcellent written and verbal communication skills; ability to present technical findings to non-technical audiencesKnowledge of Electromagnetic Compliance techniquesPreferred Qualifications:Master’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related fieldExperience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systemsExperience working with wireless protocols (4G/LTE, 5G, or military-equivalent)Demonstrated ability to own an ML model from prototype through production, including monitoring and retrainingFamiliarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environmentsBackground in military communications systems, avionics radar, or cellular infrastructure signal analysisFamiliarity 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 approachesActive participation in the broader signal processing or data science community through publications, open-source projects, or conference presentationsAmateur (Ham) Radio license or comparable hands-on RF communications backgroundOther Qualifications:Successfully pass background check for cybersecurity site accessStrong foundation in signal processing theory and application, including experience with RF, acoustic, or time-series data in a professional settingProficiency 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 limitedClear communicator capable of translating technical signal processing and ML findings to non-specialist audiencesSelf-directed and effective working remotely across cross-functional teamsMust reside in the United States; not accepting applicants in California, Illinois, or New YorkCybersecurity Role Expectations:Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their roleCandidate is expected to maintain a cybersecure work environmentBenefits:Paid Time OffMedical, Vision, Dental InsuranceHealth Savings Account with Employer contributions401(k) with Employer matchShort-term & Long-term Disability CoverageAccidental Death & Dismemberment CoverageLife Insurance CoverageEight paid holidays per yearAll other benefits required by applicable lawAlignment with Corporate ValuesAll 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/AboutRead our Mission & Values here: Cutsforth.com/ValuesEqual 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 & ApplicantsCalifornia 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. 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