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Biomedical Rf Engineer Jobs in Raleigh, NC (NOW HIRING)

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... You will design and implement simulations for these RF applications as well as evaluate results on ...

Senior Mechanical Engineer

Apex, NC

$80K - $105.70K/yr

... PCBs, batteries, RF protection, flexible and rigid system casings, optical windows, displays ... S in Mechanical or Biomedical Engineering or a related field Eight or more years industry ...

Senior Mechanical Engineer

Apex, NC · On-site

$80K - $105.70K/yr

... PCBs, batteries, RF protection, flexible and rigid system casings, optical windows, displays ... S. in Mechanical or Biomedical Engineering or a related field Eight or more years industry ...

Mechanical Engineering Manager

Morrisville, NC · On-site

$97.30K - $134.20K/yr

NIRSense is seeking an experienced mechanical engineer to work alongside and manage our growing ... Design compact, wearable systems that involve electronic components, rigid-flex PCBs, batteries, RF ...

Biomedical Rf Engineer information

See Raleigh, NC salary details

$36K

$114.4K

$177.9K

How much do biomedical rf engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for biomedical rf engineer in Raleigh, NC is $114,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biomedical RF Engineer, and why are they important?

To thrive as a Biomedical RF Engineer, you need a solid background in electrical engineering, RF circuit design, and a thorough understanding of biomedical applications, often supported by a relevant engineering degree. Familiarity with simulation tools like HFSS, CST, and MATLAB, as well as knowledge of FDA or ISO regulatory standards, is typically required. Strong problem-solving abilities, attention to detail, and effective collaboration skills help distinguish top performers in this field. These competencies are crucial for developing safe, innovative biomedical devices that meet stringent performance and regulatory requirements.

What are common challenges faced by Biomedical RF Engineers when integrating wireless technologies into medical devices?

Biomedical RF Engineers often encounter challenges such as ensuring electromagnetic compatibility, meeting strict regulatory standards, and minimizing interference with other medical equipment. These professionals must carefully design and test RF systems to operate reliably within the sensitive environment of healthcare facilities. Collaboration with multidisciplinary teams—such as clinicians, regulatory specialists, and device designers—is crucial to successfully address these issues and ensure patient safety.

What are Biomedical RF Engineers?

Biomedical RF Engineers are professionals who design, develop, and maintain radio frequency (RF) systems used in biomedical applications. This can include medical imaging devices like MRI machines, wireless patient monitoring systems, and other medical instruments that utilize RF technology. They work closely with medical professionals and researchers to ensure devices operate safely and effectively, comply with regulations, and meet the unique requirements of healthcare environments. Their role often involves troubleshooting, testing, and optimizing RF performance to support advancements in medical technology.

What is the difference between Biomedical Rf Engineer vs Biomedical Signal Processing Engineer?

AspectBiomedical Rf EngineerBiomedical Signal Processing Engineer
Required CredentialsBachelor's or Master's in Biomedical Engineering, RF Engineering certificationsBachelor's or Master's in Biomedical Engineering, Signal Processing certifications
Work EnvironmentDesigning RF components, testing medical devices, working in labs or manufacturingAnalyzing medical signals, developing algorithms, working in research or clinical settings
Employer & Industry UsageMedical device companies, hospitals, research labsMedical device companies, research institutions, healthcare providers

The main difference between a Biomedical Rf Engineer and a Biomedical Signal Processing Engineer lies in their focus areas. The Biomedical Rf Engineer specializes in RF components and systems used in medical devices, while the Biomedical Signal Processing Engineer concentrates on analyzing and developing algorithms for medical signals. Both roles require a strong background in biomedical engineering but serve different functions within the healthcare technology industry.

What cities near Raleigh, NC are hiring for Biomedical Rf Engineer jobs? Cities near Raleigh, NC with the most Biomedical Rf Engineer job openings:

Signal Processing Engineer

CoVar

Durham, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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