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Remote Synthetic Aperture Radar Jobs (NOW HIRING)

Umbra

Senior Radar Systems Engineer

Arlington, VA · Remote

About the Team Remote Sensing - The Data Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform ...

Umbra

Senior Radar Systems Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

About the Team Remote Sensing - The Data Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform ...

Umbra

Senior Radar Systems Engineer

Reston, VA · Remote

About the Team Remote Sensing - The Data Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform ...

Umbra

Senior Radar Systems Engineer

Santa Barbara, CA · Remote

About the Team Remote Sensing - The Data Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and ...

Axiologic Solutions LLC

AGS Scientist

Springfield, VA · On-site +1

Experience in synthetic aperture radar (SAR) and Ground Moving Target Indicator (GMTI) processing ... Ph.D. in physics, engineering, or remote-sensing. Detailed understanding of how the National ...

IonQ

Senior Flight Software Engineer

Louisville, CO · On-site +1

$145K - $191K/yr

Up to 5% Job ID: 1729 The Role Capella Space now part of IonQ's space business operates one of the world's most capable commercial synthetic aperture radar (SAR) satellite constellations, delivering ...

IONQ

Senior Flight Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Up to 5% Job ID: 1729 The Role Capella Space now part of IonQ's space business operates one of the world's most capable commercial synthetic aperture radar (SAR) satellite constellations, delivering ...

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Remote Synthetic Aperture Radar information

What is a remote synthetic aperture radar specialist?

A Remote Synthetic Aperture Radar (SAR) specialist is a professional who works with SAR technology, typically analyzing and interpreting radar data collected by satellites or aircraft from remote locations. They process and interpret SAR images to extract information about the Earth's surface, such as land cover, topography, and changes over time. SAR specialists often work in remote sensing, geospatial analysis, environmental monitoring, or defense sectors. Their expertise is crucial for applications like disaster response, forestry management, and surveillance.

What are the key skills and qualifications needed to thrive as a remote synthetic aperture radar analyst?

To thrive as a Remote Synthetic Aperture Radar (SAR) Analyst, you need expertise in geospatial analysis, remote sensing, and image interpretation, often supported by a degree in engineering, geoscience, or a related field. Familiarity with SAR data processing software (e.g., ENVI, SNAP), GIS platforms, and sometimes programming languages like Python or MATLAB is commonly required. Strong analytical thinking, attention to detail, and effective communication skills enable you to extract and convey actionable insights from complex radar imagery. These competencies ensure precise and timely analysis that informs critical decisions in fields such as environmental monitoring, defense, and disaster management.

What is the difference between Remote Synthetic Aperture Radar vs Remote Radar Analyst?

AspectRemote Synthetic Aperture RadarRemote Radar Analyst
CredentialsDegree in Remote Sensing, Geospatial, or related fields; GIS certificationsDegree in Geoscience, Remote Sensing, or related fields; GIS certifications
Work EnvironmentField data collection, data processing, analysis in remote settingsData analysis, interpretation, report writing from home or office
Industry UsageDefense, Earth observation, environmental monitoringWeather forecasting, aviation, environmental agencies

Remote Synthetic Aperture Radar specialists focus on collecting and processing radar data from remote sensing platforms, often involving technical fieldwork and data analysis. Remote Radar Analysts interpret radar data to support various industries, primarily through data analysis and reporting. While both roles require remote sensing knowledge and certifications, their daily tasks and industry applications differ significantly.

What are some common challenges faced when working remotely as a synthetic aperture radar analyst, and how can they be addressed?

Remote Synthetic Aperture Radar analysts often encounter challenges related to accessing large datasets, collaborating across time zones, and ensuring secure handling of sensitive geospatial information. To address these, it's important to have stable internet connections, be proficient with cloud-based data processing tools, and maintain effective communication with team members through regular virtual meetings. Additionally, familiarity with data security protocols and collaborative platforms can help streamline workflow and maintain productivity in a distributed team environment.
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Remote Synthetic Aperture Radar jobs near you
Infographic showing various Remote Synthetic Aperture Radar job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

SAR Data Scientist/Imagery Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 18 days ago

Job description

Overview

We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications.

Required Qualifications

  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
  • Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
  • Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
  • Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
  • Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
  • Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.