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Internship Rf Optimization Engineer Jobs in Washington

MAG Aerospace

RF Engineer

Fort Belvoir, VA · On-site

$100K - $165K/yr

Position Summary MAG Aerospace is seeking a cleared subject matter expert skilled in RF Engineering ... Performs and documents optimization techniques to include proper antenna selection for optimal ...

Lynk

RF Systems Test Engineer

Chantilly, VA · On-site

Job Summary As a RF Systems Test Engineer at Lynk, you will wear many hats in the world of RF ... Working alongside engineers and technicians, Inform the design, development, and optimization of ...

MAG Aerospace

RF Engineer

Fort Belvoir, VA · On-site

$100K - $165K/yr

MAG Aerospace is seeking a cleared subject matter expert skilled in RF Engineering, Microwave ... Performs and documents optimization techniques to include proper antenna selection for optimal ...

Maxtena Inc

RF Engineer

Germantown, MD · On-site

As an RF Engineer, you will be responsible for product design, development, and support ... Demonstrated experience in board-level optimization of RF circuits * Demonstrated experience with ...

Maxtena Inc

RF Engineer

Germantown, MD · On-site

As an RF Engineer, you will be responsible for product design, development, and support ... Demonstrated experience in board-level optimization of RF circuits * Demonstrated experience with ...

KBR

RF Engineer

Chantilly, VA · On-site

RF Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high ... Your contributions will be pivotal in designing and optimizing defense systems that ensure national ...

KBR, Inc.

RF Engineer

Chantilly, VA · On-site

RF Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high ... Your contributions will be pivotal in designing and optimizing defense systems that ensure national ...

DYNIS

RF Engineer

Columbia, MD · On-site

RF ENGINEER - Columbia, MD DYNIS LLC is a network infrastructure services company that specializes ... Nortel/Nokia GSM/TDMA/CDMA/UMTS Wireless Network Optimization Certification a plus EDUCATION AND/OR ...

Lockheed Martin

RF Engineer

Hanover, MD · On-site

RF Engineer WHAT WE'RE DOING: Lockheed Martin, Cyber & Intelligence invites you to step up to one ... to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful ...

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Internship Rf Optimization Engineer information

What are the key skills and qualifications needed to thrive as an Internship RF Optimization Engineer, and why are they important?

To thrive as an Internship RF Optimization Engineer, you need a solid background in telecommunications, RF engineering principles, and basic knowledge of cellular networks, often supported by a degree in electrical engineering or a related field. Familiarity with RF optimization tools like TEMS, Atoll, or Actix, as well as experience with drive test equipment and network analysis software, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when interpreting data and collaborating with teams. These competencies are essential for ensuring optimal network performance, troubleshooting issues effectively, and contributing to seamless mobile communication experiences.

What types of projects and responsibilities can an Internship RF Optimization Engineer expect to work on during their internship?

As an Internship RF Optimization Engineer, you can expect to be involved in tasks such as drive testing, network performance analysis, and troubleshooting radio frequency issues under the guidance of senior engineers. You'll likely assist in collecting and interpreting data to optimize cellular coverage and capacity, as well as contribute to technical reports and recommendations. Interns often collaborate closely with cross-functional teams such as network planning and field operations, gaining exposure to real-world challenges and the practical application of RF optimization tools. This hands-on experience is valuable for building foundational skills and understanding the workflow within telecom organizations.

What are Internship RF Optimization Engineers?

Internship RF Optimization Engineers are entry-level professionals or students in training who assist with optimizing radio frequency (RF) networks, typically in the telecommunications industry. Their role involves analyzing network performance, identifying areas for improvement, and supporting senior engineers in implementing solutions to enhance signal quality and coverage. These interns often use specialized tools to collect and interpret data, troubleshoot issues, and help maintain efficient wireless communication systems. The position provides hands-on experience in RF engineering and prepares interns for future roles in network design and optimization.

What is the difference between Internship Rf Optimization Engineer vs RF Optimization Engineer?

AspectInternship Rf Optimization EngineerRF Optimization Engineer
QualificationsEnrolled in or recent graduate in Electrical Engineering, Telecommunications, or related fieldsBachelor's or Master's in Electrical Engineering, Telecommunications, or related fields
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, independent project work
ResponsibilitiesAssisting in RF network optimization tasks, data collection, basic analysisDesigning, implementing, and optimizing RF networks independently
Industry UsageCommon in telecom companies for training and developmentEstablished role in telecom industry for network performance improvement

The main difference between an Internship Rf Optimization Engineer and an RF Optimization Engineer lies in experience, responsibilities, and employment status. Internships are entry-level, supervised roles aimed at gaining practical experience, while RF Optimization Engineers are full-time professionals responsible for independently managing RF network optimization projects.

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Internship Rf Optimization Engineer jobs near you

Senior RF Machine Learning Engineer

Quartermaster AI Inc

Arlington, VA • On-site

Full-time

Posted 18 days ago

Job description

About Us:
At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently impossible. Our distributed open-ocean systems enable every vessel to sense, compute, and communicate, enhancing maritime domain awareness for those who need it most.
Job Description:
Quartermaster AI is seeking a Senior AI/ML Engineer with an emphasis in RF analysis to develop and deploy machine learning systems that utilize RF data for real-time maritime intelligence.
You'll work in a small team of experienced engineers to build detection, classification, and tagging models that help provide contextual understanding of vessel activity based on observed RF signatures.
Key Responsibilities:
  • Design, train, and deploy machine learning models for RF signal detection, classification, and vessel activity tracking.
  • Build and maintain dataset curation pipelines, including AIS-correlated ground truth labeling, synthetic RF data generation, and augmentation strategies for class-imbalanced maritime environments.
  • Build the interface between DSP feature outputs and model inputs by defining pre-processing, normalization, and feature extraction requirements in coordination with the DSP engineer.
  • Develop model evaluation frameworks and benchmarking harnesses; define quantitative performance criteria and drive iterative improvement against them.
  • Optimize models and inference workflows for deployment on edge compute hardware.
  • Document model architecture, training methodology, dataset provenance, and validation results.
Qualifications (Preferred):
  • Master's or PhD in Machine Learning, Signal Processing, or a closely related field - or equivalent demonstrated experience.
  • 5+ years building and deploying ML systems with a focus on RF or signals data.
  • Proficiency in Python and deep learning frameworks; familiarity with RF-native tooling such as Torchsig is a strong plus.
  • Strong understanding of signal alignment, temporal synchronization, and feature extraction from IQ and spectral data.
  • Proven ability to ship production models, not just research prototypes.
  • Experience in maritime, aerospace, or operationally demanding spectral environments.
  • Experience building labeled RF datasets from ground truth sources.
  • Familiarity with edge inference constraints and optimization techniques (quantization, pruning, model distillation).
  • Active Secret clearance or demonstrated ability to obtain one.

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