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Intern Google Rf Engineer Jobs in Florida (NOW HIRING)

... feature engineering, model development, validation, deployment, and monitoring. • Support the ... Google Cloud. • Strong analytical and problem-solving skills with the ability to translate ...

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... RF communications, BGP, routing protocols, or others) * Understanding of exploit mitigations such as DEP and ASLR * Experience using reverse engineering tools such as IDA Pro, HexRays, Ghidra, Binary ...

Two-year Associates degree in Land Surveying/Civil Engineering Technology and/or 3 years of SUE ... SUE Technician, Land Surveying Intern, Surveyor in Training, Certified Surveying Technician, or ...

Two-year Associates degree in Land Surveying/Civil Engineering Technology and/or 3 years of SUE ... SUE Technician, Land Surveying Intern, Surveyor in Training, Certified Surveying Technician, or ...

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Intern Google Rf Engineer information

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

To thrive as an Intern Google RF Engineer, you need a solid understanding of radio frequency theory, signal processing, and wireless communication fundamentals, typically supported by coursework in electrical engineering or a related field. Familiarity with RF design tools like MATLAB, ADS, and network analyzers, as well as experience with simulation and measurement systems, is often required. Strong analytical thinking, problem-solving abilities, and effective teamwork are valuable soft skills for this role. These skills and qualities are critical for addressing complex RF challenges and contributing to innovative wireless solutions in a collaborative environment.

What types of projects and responsibilities can an Intern Google RF Engineer expect during their internship?

As an Intern Google RF Engineer, you can expect to work on real-world wireless communication projects, such as assisting with the design, testing, and optimization of radio frequency systems used in Google devices and infrastructure. Interns often collaborate closely with experienced RF engineers, hardware teams, and software developers to analyze signal performance, conduct lab measurements, and troubleshoot RF issues. You'll likely use industry-standard tools and simulation software, gaining hands-on experience and exposure to the latest wireless technologies. This collaborative and fast-paced environment provides valuable opportunities to learn, contribute to impactful projects, and build a strong technical foundation for a career in RF engineering.

What does an Intern Google RF Engineer do?

An Intern Google RF (Radio Frequency) Engineer typically assists in designing, testing, and optimizing wireless communication systems and hardware. Their responsibilities may include conducting RF measurements, analyzing signal data, supporting prototype development, and collaborating with teams to solve technical challenges. Interns often work under the guidance of senior engineers, gaining hands-on experience with cutting-edge wireless technologies used in Google products. This role helps interns develop skills in RF circuit design, simulation tools, and troubleshooting techniques relevant to the telecommunications industry.
What job categories do people searching Intern Google Rf Engineer jobs in Florida look for? The top searched job categories for Intern Google Rf Engineer jobs in Florida are:
What cities in Florida are hiring for Intern Google Rf Engineer jobs? Cities in Florida with the most Intern Google Rf Engineer job openings:
Data Scientist

Data Scientist

Core One

Tampa, FL • On-site

Full-time

Posted yesterday


Job description

Job Summary:
Core One is a company focused on providing analytical and operational solutions to national security challenges. They are seeking a Data Scientist to design and implement machine learning models and algorithms to enhance UAS/sUAS threat detection and analysis, while collaborating with various stakeholders to ensure effective integration and operational performance.
Responsibilities:
• Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat detection, classification, tracking, and behavioral analysis in support of operational and programmatic requirements.
• Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing, feature engineering, model development, validation, deployment, and monitoring.
• Support the integration of ML models and AI-enabled capabilities into UAS/sUAS detection systems, ISR platforms, sensor fusion architectures, and command and control systems.
• Provide technical oversight and guidance during model testing, validation, and operational evaluation to ensure algorithm performance meets mission requirements and identify areas for improvement.
• Analyze large volumes of structured and unstructured data from multiple sources, including sensor data, imagery, signals, and open-source information, to develop actionable intelligence insights.
• Support the development and review of technical proposals, white papers, and research assessments related to AI/ML applications in UAS detection, counter-UAS operations, and autonomous systems.
• Coordinate with program managers, data engineers, and government stakeholders to ensure data pipelines, storage architectures, and computing infrastructure support ML model development and deployment at scale.
• Apply computer vision, natural language processing (NLP), and signal processing techniques to develop multi-domain analytical capabilities in support of UAS/sUAS threat analysis.
Qualifications:
Required:
• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Electrical Engineering, or a related technical discipline
• Minimum of 5 years of experience in data science, machine learning, or artificial intelligence with a focus on defense, aerospace, or national security applications.
• Demonstrated experience with the full ML development lifecycle, including data preprocessing, model training, hyperparameter tuning, validation, and production deployment.
• Hands-on experience with data engineering tools and platforms including SQL, Spark, Kafka, and cloud-based data services such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills with the ability to translate complex data findings into actionable insights and communicate results to both technical and non-technical audiences.
• This position requires a TS/SCI Clearance
Preferred:
• Master's degree or PhD
• Experience working with multi-source sensor data, including RF signals, EO/IR imagery, radar, and acoustic data, to develop sensor fusion and anomaly detection capabilities is highly desirable.
• Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in support of UAS/sUAS or ISR applications is highly desirable.
• Familiarity with DoD data standards, cybersecurity requirements, and AI ethics frameworks including the DoD AI Strategy and Responsible AI guidelines.
Company:
Core One is the frontier of innovative ideas and creative solutions to solve our nation's most complex challenges. Founded in 2014, the company is headquartered in Sterling, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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About Core One

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Sterling, VA, US