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Sar Engineer Jobs (NOW HIRING)

Senior SAR Image Scientist 100-011

Springfield, VA ยท On-site

$95K - $130K/yr

Senior Synthetic Aperture Radar (SAR) Image Scientist to join a skilled, highly respected and long ... Degree in Image Science, Electrical Engineering, or Physics * 12 years of experience with a BS/BA ...

As a Satellite Payload Engineer, you will support technical efforts requiring deep expertise in satellite payload architecture, SAR payload development, SAR processing and image formation, and ...

Satellite Payload Engineer

Chantilly, VA ยท On-site

$160K - $200K/yr

Perform detailed analysis of SAR processing chains, image formation algorithms, calibration ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

Safety Engineer

Moorestown, NJ ยท On-site

$45 - $60/hr

Perform SSHAR, SAR, HTS, and FHA analysis in accordance with MIL-STD-882E. Support customer facing ... Conduct engineering and technical analyses. * Documents findings for safety and investigative ...

Safety Engineer

Moorestown, NJ ยท On-site

$45 - $60/hr

Perform SSHAR, SAR, HTS, and FHA analysis in accordance with MIL-STD-882E. Support customer facing ... Conduct engineering and technical analyses. * Documents findings for safety and investigative ...

Safety Engineer

Moorestown, NJ ยท On-site

$45 - $60/hr

Perform SSHAR, SAR, HTS, and FHA analysis in accordance with MIL-STD-882E. Support customer facing ... Conduct engineering and technical analyses. * Documents findings for safety and investigative ...

... Aperture RADAR (SAR)) Geospatial Intelligence (GEOINT) to produce intelligence reports ... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ...

Senior Systems Engineer

Huntsville, AL ยท On-site

$103K - $140K/yr

Strong understanding of Synthetic Aperture Radar (SAR) concepts, radar phenomenology, RF systems, or space-based remote sensing architectures. * Knowledge of systems engineering processes associated ...

... Aperture RADAR (SAR)) Geospatial Intelligence (GEOINT) to produce intelligence reports ... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ...

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Sar Engineer information

What are the key skills and qualifications needed to thrive as a SAR Engineer, and why are they important?

To thrive as a SAR (Synthetic Aperture Radar) Engineer, you need a strong background in electrical engineering, signal processing, and radar systems, often supported by a relevant engineering degree. Experience with technical tools such as MATLAB, Python, and radar simulation software, along with knowledge of remote sensing technologies, is typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills in this role. These competencies are essential for developing, analyzing, and optimizing complex radar systems that are critical for applications in defense, earth observation, and surveillance.

What is a SAR Engineer?

A SAR Engineer is a professional who specializes in Synthetic Aperture Radar (SAR) technology, which is used for remote sensing and imaging. SAR Engineers design, develop, and analyze radar systems that capture high-resolution images of the Earth's surface, regardless of weather conditions or daylight. They often work in industries such as aerospace, defense, and earth observation, contributing to applications like mapping, surveillance, and disaster monitoring. Their work involves signal processing, software development, and data interpretation to ensure accurate and reliable radar imagery.

What is the difference between Sar Engineer vs Signal Engineer?

AspectSar EngineerSignal Engineer
Required CredentialsBachelor's in Electrical/Electronic Engineering, certifications like RF or wireless certificationsBachelor's in Electrical, Electronics, or Communications Engineering, similar certifications
Work EnvironmentTelecom companies, network providers, field sitesTelecom companies, network infrastructure, testing labs
Industry UsageDesigning and optimizing signaling protocols and systemsDesigning, testing, and maintaining communication signals and systems
Common Search/ComparisonYesYes

Both Sar Engineers and Signal Engineers work in telecommunications, focusing on different aspects of network systems. Sar Engineers primarily handle signaling protocols and system optimization, while Signal Engineers focus on the design and testing of communication signals. They share similar credentials and work environments, making them closely related roles within the telecom industry.

How does a SAR Engineer typically collaborate with cross-functional teams during a project lifecycle?

SAR Engineers frequently work alongside hardware designers, software developers, and data analysts to ensure successful development and deployment of Synthetic Aperture Radar (SAR) systems. They coordinate with system architects to align technical specifications, and often engage with project managers to track progress and resolve challenges. Effective communication is essential, as SAR Engineers must translate complex radar requirements into actionable tasks for multidisciplinary teams. This collaborative environment helps ensure that SAR solutions are robust, efficient, and meet end-user needs.
More about Sar Engineer jobs
What job categories do people searching Sar Engineer jobs look for? The top searched job categories for Sar Engineer jobs are:
Infographic showing various Sar Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

SAR Data Scientist/Imagery Scientist 02

Select Search Associates LLC

Arlington, VA โ€ข On-site

Full-time

Posted 2 days ago


Job description

Overview

We are seeking an experiencedย Exploitation Data Scientistย / Imagery Scientistย 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 an Exploitation Specialist / Imagery Scientist, you will leverage your expertise in Synthetic Aperture Radar (SAR), multi-INT analysis, and geospatial exploitation to support the curation, analysis, and preparation of imagery datasets used to develop, test, and evaluate AI/ML models. Working closely with engineers, data scientists, and mission analysts, you will help ensure mission-critical datasets are accurate, representative, and optimized for operational use.

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 related 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 to analyze and exploit geospatial information.
  • Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to complex intelligence problems.
Preferred Qualifications
  • Experience developing or applying machine learning (ML) and computer vision (CV) techniques for the exploitation of overhead imagery, motion imagery, or other geospatial datasets.
  • Familiarity with AI/ML workflows supporting imagery analysis, object detection, or model evaluation.
Key Responsibilities
  • Leverage multi-INT data, with an emphasis on Synthetic Aperture Radar (SAR), to identify, curate, and prepare imagery from emerging sensor platforms for AI/ML model development, testing, and accreditation.
  • Curate imagery that meets Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and operationally relevant conditions.
  • Assess the capabilities and limitations of emerging sensor technologies and recommend data curation strategies that maximize the value of available imagery.
  • Identify data gaps and recommend additional collection or complementary data sources to improve dataset completeness and support model evaluation.
  • Collaborate with cross-functional teams to ensure curated datasets meet quality standards and are suitable for machine learning training, testing, and operational assessment.