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Synthetic Aperture Radar Jobs (NOW HIRING)

Develop and enhance synthetic aperture radar (SAR) and counter-SAR techniques, focusing on signal acquisition, processing, and target detection in challenging environments. * Participate in counter ...

Conduct depot level repair, integration and testing, modification and operation of complex synthetic aperture radar (SAR) / ground moving target indicator (GMTI) and other airborne sensors. * Operate ...

Conduct depot level repair, integration and testing, modification and operation of complex synthetic aperture radar (SAR) / ground moving target indicator (GMTI) and other airborne sensors. * Operate ...

Conduct depot level repair, integration and testing, modification and operation of complex synthetic aperture radar (SAR) / ground moving target indicator (GMTI) and other airborne sensors. * Operate ...

Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as ...

Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as ...

Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as ...

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Synthetic Aperture Radar information

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How much do synthetic aperture radar jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for synthetic aperture radar 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 a synthetic aperture radar?

A Synthetic Aperture Radar (SAR) job involves working with advanced radar systems that use motion to create high-resolution images of terrain, objects, or structures. Professionals in this field may develop SAR technology, process and analyze radar data, or apply SAR imaging for applications like defense, environmental monitoring, and disaster response. Roles can range from engineering and research to data science and operations, often requiring expertise in signal processing, remote sensing, and geospatial analysis.

What are the key skills and qualifications needed to thrive in the synthetic aperture radar position?

To thrive as a Synthetic Aperture Radar (SAR) engineer or specialist, a solid background in electrical engineering, physics, or remote sensing, along with expertise in radar signal processing, is essential. Familiarity with programming languages (such as MATLAB or Python), SAR-specific software, and experience with satellite or airborne radar platforms are highly valued, as are relevant certifications in remote sensing or radar technology. Excellent analytical thinking, problem-solving abilities, and strong teamwork and communication skills make you stand out in this complex, multidisciplinary environment. These qualifications ensure you can effectively design, analyze, and interpret radar data to support critical applications in earth observation, surveillance, and mapping.

What are the main challenges faced by professionals working with synthetic aperture radar technology?

Professionals in Synthetic Aperture Radar roles often encounter challenges such as processing large volumes of complex radar data, troubleshooting signal artifacts, and adapting SAR systems to different operational environments. You may also need to keep up with rapid advancements in radar technologies and integrate SAR data with other sensing modalities or GIS platforms. Another common challenge is effective communication with interdisciplinary teams, including systems engineers, software developers, and end-users, to ensure mission objectives are met. These aspects require a balance of technical expertise, continual learning, and collaborative skills to succeed in the field.

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Infographic showing various Synthetic Aperture Radar job openings in the United States as of August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $72,187 per year, or $34.7 per hour.

SAR Data Scientist Specialist / Imagery Scientist 09

Select Search Associates LLC

Arlington, VA โ€ข On-site

Full-time

Re-posted 12 days ago


Job description


Overview
We are seeking an experienced SAR Data Scientist Specialist / 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 range 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 Specialist / Imagery Scientist, you will apply your expertise in Synthetic Aperture Radar (SAR) imagery and multi-INT analysis to support the curation, exploitation, and preparation of imagery datasets for machine learning model development, testing, and evaluation. You will work closely with engineers, data scientists, and mission analysts to ensure imagery products are representative, mission-relevant, 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)
  • Experience exploiting Synthetic Aperture Radar (SAR) imagery and SAR analytical products in support of intelligence or geospatial missions.
  • Experience conducting multi-INT analysis and integrating information from multiple intelligence disciplines to support mission objectives.
  • Proficiency working with structured, semi-structured, and unstructured datasets using programming, scripting, and visualization tools.
  • Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to solve complex intelligence challenges.
Preferred Qualifications
  • Experience developing or applying machine learning (ML) and computer vision (CV) techniques to overhead imagery, motion imagery, or geospatial datasets.
  • Familiarity with AI/ML workflows supporting imagery exploitation, object detection, and model evaluation.
Key Responsibilities
  • Leverage multi-INT data, with an emphasis on Synthetic Aperture Radar (SAR), to identify, curate, and prepare imagery collected from emerging sensor platforms for AI/ML model development, testing, evaluation, and accreditation.
  • Curate imagery that aligns with Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and operationally relevant conditions.
  • Evaluate the capabilities and limitations of emerging sensor technologies and recommend data curation strategies that maximize dataset quality and mission value.
  • Identify data gaps and recommend additional collections or complementary data sources to improve dataset completeness and support model testing and evaluation.
  • Collaborate with cross-functional teams to ensure curated imagery meets quality standards and is optimized for machine learning and advanced analytics.