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Hyperspectral Jobs (NOW HIRING)

Sierra Lobo, Inc.

Sr. Opto-Mechanical Engineer

Pasadena, CA · On-site

$114K - $150K/yr

We have been involved in numerous successful hyperspectral imager projects as well as other airborne and spaceflight optical instruments. We are looking for an opto-mechanical engineer to join our ...

Sierra Lobo, Inc.

Sr. Opto-Mechanical Engineer

Pasadena, CA

$114K - $150K/yr

We have been involved in numerous successful hyperspectral imager projects as well as other airborne and spaceflight optical instruments. We are looking for an opto-mechanical engineer to join our ...

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Hyperspectral information

What are hyperspectral imaging specialists?

Hyperspectral imaging specialists are professionals who use advanced imaging technology to capture and analyze a wide spectrum of light beyond what is visible to the human eye. They work with hyperspectral cameras and sensors to identify materials, monitor environments, and detect changes in various applications such as agriculture, environmental monitoring, mineral exploration, and defense. Their job involves processing and interpreting complex data to provide actionable insights for scientific, industrial, or governmental purposes.

What are the key skills and qualifications needed to thrive as a Hyperspectral Imaging Specialist, and why are they important?

To thrive as a Hyperspectral Imaging Specialist, you need expertise in remote sensing, image processing, and a background in physics, engineering, or a related scientific field. Familiarity with hyperspectral cameras, analysis software like ENVI or MATLAB, and data processing systems is typically required. Strong analytical thinking, problem-solving skills, and clear communication set top performers apart. These abilities are vital for accurately capturing, interpreting, and conveying complex spectral data to support research or commercial applications.

What are some common challenges faced by professionals working in hyperspectral imaging roles?

Professionals in hyperspectral imaging often encounter challenges related to the complexity of processing and interpreting high-dimensional data. Managing large datasets requires familiarity with advanced analytical software and strong computational skills. Additionally, collaborating with multidisciplinary teams—including scientists, engineers, and end-users—is crucial to tailor solutions that meet specific project goals. Staying updated on evolving sensor technologies and industry applications is also important for continued growth in this field.
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Hyperspectral jobs near you
Image Scientist (Mid), Springfield, VA

Image Scientist (Mid), Springfield, VA

Beyond SOF

Springfield, VA • On-site

Full-time

Posted yesterday

Job description

Image Scientist (Mid)
Position Description:
Candidate should have a working understanding and practical application of modeling
components of the image path to include sensor, detector, atmospheric, and material properties.
Imaging systems could include panchromatic (pan), RADAR, LIDAR, OPIR, hyperspectral
(HSI) and/or multispectral (MSI) on board space or airborne platforms. Familiarity with current
GEOINT systems, products and development, as well as the exploitation software packages will
be necessary to develop test and verification methodologies.
Required Experience/Education:
  • Bachelor or advanced degree in Image Science, Optics, Engineering, or Applied Physics
  • 5-10 years of experience working with electrical-optical, RADAR, LIDAR, hyperspectral and/or multispectral imaging platforms
  • Image processing and digital signal processing experience
  • Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data
  • Applied knowledge of sensor imaging systems, products, and exploitation processes
  • Understanding of data processing and statistics
  • Strong written and oral communication skills, with emphasis on briefing, to obtain decisions and solve technical issues and test plans/report writing
  • Ability to work independently as well as part of a team in a dynamic work environment
  • Track record of delivering results
Preferred Skillset:
  • Knowledge of National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) image chain
  • Understanding and application of image quality standards (e.g. NIIRS), scales, metrics and image quality equations.
  • Experience working in a DoD or IC operational environment
  • Experience developing engineering code (C, Python, Matlab, IDL) to solve hard problems and create processes for repeatable results.

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