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Hyperspectral Remote Sensing Jobs (NOW HIRING)

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... Experience working with and visualizing hyperspectral data * Video and animation skills

Senior Data Visualization Engineer

San Francisco, CA ยท On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual ... Experience working with and visualizing hyperspectral data * Advanced video and animation skills

Understanding of remote sensing data acquisition technologies, enterprise-level GIS platforms ... e.g., optical, hyperspectral, thermal, radar imagery; topographic and/or bathymetric LiDAR ...

Understanding of remote sensing data acquisition technologies, enterprise-level GIS platforms ... e.g., optical, hyperspectral, thermal, radar imagery; topographic and/or bathymetric LiDAR ...

Understanding of remote sensing data acquisition technologies, enterprise-level GIS platforms ... e.g., optical, hyperspectral, thermal, radar imagery; topographic and/or bathymetric LiDAR ...

Software Engineer, Senior

Dayton, OH ยท On-site +1

$119K - $157K/yr

Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Dayton, OH ยท On-site +1

$119K - $157K/yr

Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

This is an opportunity to apply cutting-edge remote sensing and AI technologies to solve real-world ... thermal, hyperspectral, LiDAR, 3D point clouds) captured from drones, ground-based platforms ...

This is an opportunity to apply cutting-edge remote sensing and AI technologies to solve real-world ... thermal, hyperspectral, LiDAR, 3D point clouds) captured from drones, ground-based platforms ...

Showing results 21-39

Hyperspectral Remote Sensing information

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$28

$32

$36

How much do hyperspectral remote sensing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for hyperspectral remote sensing in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What is hyperspectral remote sensing?

Hyperspectral remote sensing is a technology that collects and processes information from across the electromagnetic spectrum. Unlike traditional imaging, which captures just a few bands of light, hyperspectral sensors acquire data in hundreds of narrow, contiguous spectral bands. This allows for the detailed identification and analysis of materials, vegetation, minerals, and other targets based on their unique spectral signatures. The technology is widely used in agriculture, environmental monitoring, mining, and defense, among other fields. Its ability to detect subtle differences in surface materials makes it a powerful tool for scientific and industrial applications.

What are the key skills and qualifications needed to thrive as a hyperspectral remote sensing specialist?

To thrive as a Hyperspectral Remote Sensing Specialist, you need strong expertise in remote sensing principles, spectral analysis, and a background in environmental science, geography, or a related technical field, often supported by a relevant degree. Proficiency in processing software such as ENVI, ERDAS IMAGINE, or Python-based geospatial libraries, as well as experience with hyperspectral imaging sensors and data calibration tools, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate on multidisciplinary teams. These competencies are critical to accurately extracting, analyzing, and conveying valuable information from hyperspectral data for applications in agriculture, environmental monitoring, and resource management.

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

Professionals in hyperspectral remote sensing often encounter challenges such as managing and processing large volumes of high-dimensional data, ensuring accurate calibration of sensors, and interpreting complex spectral signatures. Addressing these issues typically involves using advanced data processing algorithms, maintaining strict calibration protocols, and collaborating closely with experts in fields like machine learning and environmental science. Regular training and staying updated with the latest software tools and methodologies are also important for overcoming these challenges.

What is the difference between Hyperspectral Remote Sensing vs Remote Sensing Analyst?

AspectHyperspectral Remote Sensing

CredentialsTypically requires degrees in remote sensing, geospatial sciences, or related fields; certifications in GIS or remote sensing are common.

Work EnvironmentField data collection, satellite or aerial data analysis, GIS software use, often in research or environmental agencies.

Hyperspectral Remote Sensing involves capturing and analyzing data across many spectral bands to identify materials and conditions on Earth's surface. A Remote Sensing Analyst interprets various remote sensing data, including multispectral and hyperspectral images, to support environmental, urban planning, or resource management projects. While both roles require similar credentials and work environments, hyperspectral remote sensing focuses specifically on high-resolution spectral data analysis, whereas remote sensing analysts work with a broader range of remote sensing data types.

Infographic showing various Hyperspectral Remote Sensing job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.

Senior Algorithm & Signal Processing Researcher

Atlanta, GA โ€ข On-site, Remote

$139K - $170K/yr

Full-time

Re-posted 4 days ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Senior Algorithm and Signal Processing Engineer, you will develop, implement, test, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare, radar, and remote sensing applications. You will work as part of multidisciplinary teams to research next-generation sensing concepts and transition advanced algorithms into integrated systems for laboratory and field demonstrations.

A successful candidate will have expertise in one or more of the following areas: signal processing, adaptive radar signal processing, optimization, machine learning, electronic warfare, algorithm development, radar systems, communications systems, RF remote sensing, resource management, modeling and simulation, or related technical fields. This position requires strong analytical skills, scientific programming experience, and the ability to collaborate with researchers, engineers, and customers to solve challenging technical problems.

What You Will Do

  • Develop advanced sensing concepts, signal processing algorithms, and machine learning techniques for radar, electronic warfare, and remote sensing applications
  • Research, design, implement, and evaluate novel algorithms from concept through demonstration
  • Collaborate with multidisciplinary teams to architect, develop, integrate, and test advanced RF signal processing systems
  • Support modeling and simulation activities to evaluate algorithm performance and inform system design
  • Plan and execute laboratory and field testing to assess algorithm performance and transition research into operational prototypes.
  • Contribute to technical proposals, customer interactions, presentations, and technical briefings
  • Survey emerging research and incorporate state-of-the-art techniques into practical algorithm solutions.

Who You Are

  • Ability to obtain and maintain a Top Secret security clearance, for which U.S. citizenship is required by the U.S. government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, Computer Engineering, Computer Science, or a related technical discipline with 2-5+ years relevant experience
  • Strong programming skills in MATLAB, Python, C/C++, or similar scientific computing languages
  • Strong mathematical, analytical, troubleshooting, written, and verbal communication skills
  • Experience developing, implementing, testing, or analyzing signal processing, optimization, or machine learning algorithms
  • Ability to communicate complex technical concepts to both technical and non-technical audiences
  • Ability to translate research objectives and customer needs into practical technical solutions

Even Better

  • Active Top Secret security clearance
  • Experience with radar systems, RF remote sensing, electronic warfare, or communications systems
  • Experience with adaptive signal processing, waveform design, multidimensional signal processing, resource management, or system optimization
  • Experience developing algorithms for real-time or embedded systems
  • Experience with modeling and simulation, algorithm integration, and system test and evaluation
  • Experience with software development and scientific computing workflows
  • Ability to survey technical literature, identify emerging approaches, and transition research into integrated, tested solutions

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.