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Signal Processing Machine Learning Jobs in North Carolina

CoVar

Signal Processing Engineer

Durham, NC

RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation * Ability to work ...

Triumvirate Environmental

Processing Machine Operator

Halifax, NC · On-site

$16.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Processing Machine Operator Triumvirate Environmental, one of the largest environmental services ... Demonstrate openness to learning by adapting to new processes, incorporating constructive feedback ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.

CoVar

Machine Learning Engineer

Durham, NC

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc. * B.S., preferably M.S. or Ph.D ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Vadum, Inc.

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$125K - $180K/yr

  • Medical

  • Retirement

Beamforming and array processing * Target tracking and state estimation * Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC

$217K/yr

  • Medical

  • Retirement

Beamforming and array processing * Target tracking and state estimation * Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

  • Medical

  • Retirement

Beamforming and array processing * Target tracking and state estimation * Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal ...

CoVar

Software Engineer

Durham, NC · On-site

... signal processing, pattern recognition, image processing, and/or machine learning techniques • ... Prior Department of Defense project experience Company : CoVar is a leader in machine learning and ...

Bespoke Labs

Machine Learning Engineer

Greensboro, NC · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Raleigh, NC · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Boone, NC · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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Signal Processing Machine Learning information

See North Carolina salary details

$48.6K

$119.4K

$175.9K

How much do signal processing machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for signal processing machine learning in North Carolina is $119,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $134,000.00 per year, depending on experience, location, and employer.

What does a signal processing machine learning do?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What is a signal processing machine learning?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What are the key skills and qualifications needed to thrive in signal processing machine learning?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are popular job titles related to Signal Processing Machine Learning jobs in North Carolina?

For Signal Processing Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Signal Processing Machine Learning jobs in North Carolina look for?

The top searched job categories for Signal Processing Machine Learning jobs in North Carolina are:

Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,370 per year, or $57.4 per hour.

Signal Processing Engineer

CoVar

Durham, NC

Full-time

Re-posted 10 days ago

Job description

Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities

  • Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
  • Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
  • Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
  • RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
  • Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
  • Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
  • Documentation: Prepare technical reports and presentations for internal and external stakeholders.

Minimum qualifications

  • B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
  • 3+ years of experience in RF signal processing or a related discipline.
  • Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
  • Experience in the following areas:
    • RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
  • Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance

Preferred qualifications

  • Experience with:
    • Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
    • AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
    • Spectrum monitoring and signal classification using machine learning techniques.
    • Translating the mission needs of DoD customers into an end-to-end technical solution.
    • Proposal development and proposal writing.
  • Familiarity with FPGA or GPU acceleration for high-performance DSP.
  • Proficiency in C/C++ for embedded or real-time applications.
  • Active U.S. security clearance.

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com