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Google Rf Engineer Jobs in Florida (NOW HIRING)

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

... Google Cloud Experience with distributed data processing frameworks (Spark, Dask, Ray, etc ... radar, or RF signal processing Experience with audio analytics or classification systems ...

Core One

Data Scientist

Tampa, FL · On-site

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

New

Core One

Data Scientist

Tampa, FL · On-site

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

New

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Google Rf Engineer information

See Florida salary details

$27.6K

$87.9K

$136.8K

How much do google rf engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for google rf engineer in Florida is $87,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $103,900.00 per year, depending on experience, location, and employer.

What is a Google RF Engineer job?

A Google RF Engineer is responsible for designing, testing, and optimizing radio frequency (RF) systems to support wireless communication and connectivity. Their work involves improving network performance, ensuring signal integrity, and troubleshooting RF-related issues. They collaborate with hardware and software teams to develop efficient wireless solutions for products like Google Fiber, Nest, and other wireless technologies. The role requires expertise in RF principles, antenna design, and regulatory compliance.

What are the key skills and qualifications needed to thrive in the Google Rf Engineer position, and why are they important?

To thrive as a Google RF Engineer, you need a solid background in radio frequency engineering, wireless communications, and signal processing, usually supported by a degree in electrical engineering or a related field. Familiarity with industry-standard RF simulation tools (such as ADS or CST), experience with network analysis equipment, and relevant certifications like FCC licensing are highly valuable. Strong analytical thinking, effective communication, and a collaborative mindset are key soft skills that help engineers work efficiently within interdisciplinary teams. These skills and qualities are crucial for developing robust wireless solutions, meeting project requirements, and ensuring seamless technology integration at scale.

What does a typical project look like for a Google RF Engineer, and how does the team operate?

A typical project for a Google RF Engineer involves designing, optimizing, and testing wireless system components for products like smartphones, networking devices, or infrastructure solutions. Engineers frequently collaborate with cross-functional teams—including hardware designers, software engineers, and product managers—to ensure optimal performance and compliance with industry standards. The work environment is highly innovative and fast-paced, with an emphasis on creative problem-solving and teamwork. This collaborative atmosphere not only accelerates product development but also offers opportunities for skill growth and career advancement.
More about Google Rf Engineer jobs
What are the most commonly searched types of Google Rf Engineer jobs in Florida? The most popular types of Google Rf Engineer jobs in Florida are:
What are popular job titles related to Google Rf Engineer jobs in Florida? For Google Rf Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Google Rf Engineer jobs in Florida look for? The top searched job categories for Google Rf Engineer jobs in Florida are:
Google Rf Engineer jobs near you
Infographic showing various Google Rf Engineer job openings in Florida as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,941 per year, or $42.3 per hour.
Data Engineer III

Data Engineer III

ENSCO, Inc.

Melbourne, FL • On-site

Other

Posted 7 days ago

Job description

ENSCO is seeking a motivated and skilled Data Scientist/Engineer to join our Machine Learning Data team within Seismic and Acoustics. This role is responsible for data engineering and organization, data science, and machine learning, with a specific focus on acoustic sensor data.

This role supports ingestion, processing, storage, labeling, and analysis of time-series acoustic data enabling machine learning, signal processing, monitoring, and operational analytics applications.

Qualifications Required

Bachelor's degree in Computer Science, Data Engineering, Electrical Engineering, Applied Mathematics, Physics, or related technical field
3+ years of experience in data engineering, software engineering, or scientific data systems
Experience working with large-scale structured and unstructured datasets
Strong proficiency in Python for data engineering and automation
Experience building and maintaining ETL/ELT pipelines
Experience with SQL and relational/non-relational databases
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Experience with distributed data processing frameworks (Spark, Dask, Ray, etc.)
Understanding of time-series data architectures and streaming pipelines
Experience using version control and CI/CD practices (Git, GitLab, GitHub, Jenkins, etc.)
Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
Experience handling high-volume sensor, waveform, or acoustic datasets
Familiarity with digital signal processing concepts including:
FFTs
spectrograms
filtering
sampling theory
feature extraction
Experience managing metadata and annotation workflows for sensor datasets

Ability to obtain and maintain a US Security Clearance, for which you must be a US Citizen.

Qualifications Desired

Master's degree in a related technical field
Experience with machine learning data pipelines and MLOps workflows
Experience deploying real-time or near-real-time streaming systems
Familiarity with event-driven architectures and message brokers (Kafka, RabbitMQ, MQTT)
Experience with HPC environments or GPU-enabled workflows
Background in underwater acoustics, sonar, bioacoustics, seismic data, radar, or RF signal processing
Experience with audio analytics or classification systems
Familiarity with common acoustic data formats and standards
Experience developing automated labeling or feature extraction workflows for acoustic signals
Experience designing data lakes and large-scale archival systems
Familiarity with Parquet, Zarr, HDF5, NetCDF, or similar scientific data formats
Experience optimizing storage and retrieval performance for time-series data
Experience implementing security controls for sensitive data environments
Familiarity with infrastructure-as-code tools (Terraform, CloudFormation)
Experience supporting production operational systems with high availability requirements

Required Certifications: None
US Citizenship Required: Yes
Security Clearance Required: Ability to Obtain
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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