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Biomedical Rf Engineer Jobs in California (NOW HIRING)

Nudge

MR Physicist

San Francisco, CA · On-site

Work closely with other MR physicists, an RF coil engineer, our software, mechanical, and ... A degree in Electrical or Biomedical Engineering or similar engineering discipline * Strong signal ...

nudge

MR Physicist

San Francisco, CA · On-site

Work closely with other MR physicists, an RF coil engineer, our software, mechanical, and ... A degree in Electrical or Biomedical Engineering or similar engineering discipline * Strong signal ...

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Biomedical Rf Engineer information

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.

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What cities in California are hiring for Biomedical Rf Engineer jobs? Cities in California with the most Biomedical Rf Engineer job openings:
Biomedical Rf Engineer jobs near you
MR Physicist

MR Physicist

Nudge

San Francisco, CA • On-site

Full-time

Posted 19 days ago

Job description

About Nudge

At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other.

About the role

As an MR Physicist at Nudge, you will:

  • Develop novel MRI pulse sequences and image reconstruction algorithms that push the envelope of sensitivity and precision for targeting and reading out the effects of ultrasound neuromodulation

  • Build, validate, and deploy your applications on our state-of-the-art 3 Tesla Siemens Cima.X scanners

  • Own applications from concept through prototyping to deployment in clinical trials

  • Work closely with other MR physicists, an RF coil engineer, our software, mechanical, and electrical engineers, and clinical operators

About you

We have a preference for at least 3 years of relevant post-PhD or industry experience. Regardless of your career level, you should have:

  • Strong engineering / physics first principles

  • An exceptional track record of building novel MRI sequences using a major MRI vendor API, and associated image reconstruction algorithms

  • Expertise in non-Cartesian MRI pulse sequences and image reconstruction

  • Expertise in advanced MRI image reconstruction methods including parallel imaging, compressed sensing, and machine-learning

  • A degree in Electrical or Biomedical Engineering or similar engineering discipline

  • Strong signal processing and inverse problem fundamentals

  • Demonstrated history of exceptional technical contribution

  • High integrity and strong professional judgement