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Radar Remote Sensing Jobs (NOW HIRING)

General Motors

Staff Sensor Systems Engineer

Sunnyvale, CA · On-site +1

$189K - $290K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Experience working with sensing systems (camera, radar, lidar, or similar) and their usage and ...

General Motors

Staff Sensor Systems Engineer

Warren, MI · On-site +1

$189K - $290K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Experience working with sensing systems (camera, radar, lidar, or similar) and their usage and ...

General Motors

Staff Sensor Systems Engineer

Sunnyvale, CA · On-site +1

$189K - $290K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Experience working with sensing systems (camera, radar, lidar, or similar) and their usage and ...

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How much do radar remote sensing jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for radar remote sensing in the United States is $34.71, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $40.14 per hour, depending on experience, location, and employer.

What is the difference between Radar Remote Sensing vs Satellite Data Analyst?

AspectRadar Remote SensingSatellite Data Analyst
Required CredentialsDegree in Geoscience, Remote Sensing, or related fields; often certifications in GIS or remote sensingDegree in Data Science, Geospatial Analysis, or related fields; certifications in GIS or data analysis tools
Work EnvironmentFieldwork, laboratory, and remote sensing data processingOffice-based, analyzing satellite imagery and geospatial data
Industry UsageEnvironmental monitoring, defense, agriculture, disaster managementUrban planning, environmental assessment, resource management

Radar Remote Sensing focuses on collecting and analyzing data from radar sensors, often involving specialized equipment and fieldwork. Satellite Data Analysts interpret satellite imagery, including radar data, to support various applications. While both roles work with satellite data, Radar Remote Sensing emphasizes data acquisition and sensor operation, whereas Satellite Data Analysts focus on data interpretation and analysis.

What is radar remote sensing?

Radar remote sensing is a technology that uses radio waves to detect and monitor objects and surfaces from a distance, typically via satellites or aircraft. Unlike optical sensors, radar systems can penetrate clouds, function at night, and collect data regardless of weather conditions. This makes radar remote sensing especially valuable for mapping terrain, monitoring environmental changes, and supporting disaster management. The technology is widely used in fields such as agriculture, forestry, geology, and oceanography. Data collected via radar remote sensing are processed to create images and extract information about the Earth's surface and atmosphere.

What are some typical challenges faced by professionals working in radar remote sensing, and how can they be addressed?

Professionals in radar remote sensing often encounter challenges related to data interpretation, managing large datasets, and mitigating signal noise caused by atmospheric conditions or terrain. Addressing these challenges typically involves staying up to date with the latest signal processing algorithms, collaborating closely with interdisciplinary teams (such as GIS specialists and field researchers), and utilizing advanced software tools for data analysis. Continuous professional development and participation in relevant workshops or conferences can also help in overcoming these obstacles and staying ahead in this dynamic field.

What are the key skills and qualifications needed to thrive as a Radar Remote Sensing Specialist, and why are they important?

To excel as a Radar Remote Sensing Specialist, you need a strong background in geospatial science, signal processing, and remote sensing, often supported by a degree in engineering, physics, or earth sciences. Familiarity with radar image processing software (such as ENVI or SNAP), GIS platforms, and programming languages like Python or MATLAB is essential, along with relevant certifications being advantageous. Analytical thinking, attention to detail, and effective communication are key soft skills that enhance problem-solving and collaboration on multidisciplinary projects. These competencies are crucial for accurately interpreting radar data, ensuring data quality, and delivering actionable insights for applications like environmental monitoring or disaster management.

General Application

Rainmaker Technology Corporation

El Segundo, CA • Remote

Other

Posted 20 days ago

Job description

Rainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution.

The Engineering team at Rainmaker works on our UAS, dispersion payload, and in-situ/remote sensing systems. If you are interested in working in an extremely innovative and fast paced environment, where your work directly makes an impact and difference in our operational system, this is a fantastic opportunity.

If you don't see anything posted that fits your skill set, tell us why you would like to be a part of Rainmaker and summarize 'A Message to Garcia'
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