AI RF Engineer
Fort Worth, TX · On-site +1
... or biomedical) • Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning. • Proficiency in programming languages such as Python, Java, or C+
AI RF Engineer
Fort Worth, TX · On-site +1
... or biomedical) • Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning. • Proficiency in programming languages such as Python, Java, or C+
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 is the difference between Biomedical Rf Engineer vs Biomedical Signal Processing Engineer?
| Aspect | Biomedical Rf Engineer | Biomedical Signal Processing Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Biomedical Engineering, RF Engineering certifications | Bachelor's or Master's in Biomedical Engineering, Signal Processing certifications |
| Work Environment | Designing RF components, testing medical devices, working in labs or manufacturing | Analyzing medical signals, developing algorithms, working in research or clinical settings |
| Employer & Industry Usage | Medical device companies, hospitals, research labs | Medical 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 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 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.
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What job categories do people searching Biomedical Rf Engineer jobs in Texas look for? The top searched job categories for Biomedical Rf Engineer jobs in Texas are:
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Lockheed Martin rating
8.2
Based on 382 frontline employees who took The Breakroom Quiz
31st of 60 rated aerospace companies
Job description
Job Description:
We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating signal processing capabilities to our customers. You will work on a broad range of projects across the LAIC, from low Technical Readiness Level research to deployment and will be responsible for leading critical technical projects.Key Responsibilities:
• Develop and Apply AI Technologies
• Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions.
• Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
• Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
• Participate in the development of proposals and whitepapers to secure funding for AI research and development projects
Technical Leadership and Mentorship:
• Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
• Provide guidance and support to team members to ensure successful project execution.
• Collaboration and Communication:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Communicate complex technical concepts and solutions to non-technical stakeholders.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.
Technical Skills:
• Strong background in software engineering, artificial intelligence, and machine learning.
• Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical)
• Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
• Proficiency in programming languages such as Python, Java, or C++.
Soft Skills:
• Self-motivation, strong work ethic, and time management skills.
• Excellent interpersonal and communication skills.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application
• Education and Experience:
• Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
• 8+ years of experience in AI or a related field.
What We Offer:
• Opportunity to Work on High-Impact Projects:
• Work on a broad range of projects across the LAIC, from low TRL research to deployment.
• Develop and apply AI technologies to solve complex problems and field innovative solutions.
• Collaborative and Dynamic Work Environment:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Participate in a fast-paced and dynamic work environment with a focus on innovation and experimentation.
• Professional Development and Growth Opportunities:
• Opportunities for professional growth and development in AI and related fields.
• Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. Remote work arrangements may also be considered for qualified candidates.
#LMLAIC
Qualifications:
• Bachelor’s Degree in Engineering, Computer Science, or other related discipline• Experience developing with machine learning frameworks (Pytorch, Tensorflow, JAX, Keras, etc.)
• Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.)
• Experience with machine learning and deep learning for signal processing applications such as radar, communication, electronic warfare, sonar, audio, or biomedical
• Broad experience in the application and state of AI across multiple lines of business and customer programs in a large enterprise or government position
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About Lockheed Martin
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As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Bethesda, MD, US
Year founded
1912