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Hyperspectral Imaging Jobs (NOW HIRING)

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Leidos

Senior Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Bayer

Principal Imaging Scientist

Creve Coeur, MO

$116K - $174K/yr

Experience with advanced imaging modalities such as X‑ray, hyperspectral imaging, NMR, and/or MRI. * Experience supporting high‑throughput, automation‑adjacent, or production‑like ...

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How much do hyperspectral imaging jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for hyperspectral imaging in the United States is $23.00, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $25.48 per hour, depending on experience, location, and employer.

What jobs pay $2000 a day?

In hyperspectral imaging, high-paying roles such as senior research scientists, imaging specialists, or consultants can earn around $2000 per day, especially with advanced expertise, certifications, and experience in the field. These positions often involve project-based work, consulting, or leadership in research environments. Such roles typically require specialized skills in imaging technology, data analysis, and domain knowledge in remote sensing or material identification.

What jobs are visual thinkers good at?

Hyperspectral imaging professionals and other visual thinkers are well-suited for roles that require strong spatial awareness, pattern recognition, and data visualization, such as image analysts, remote sensing specialists, and scientific researchers. These jobs often involve interpreting complex visual data, working with imaging software, and applying analytical skills in fields like environmental monitoring, agriculture, or defense.

What does hyperspectral imaging do?

Hyperspectral imaging is a technique used in jobs like hyperspectral imaging specialists to capture and analyze images across many spectral bands beyond visible light. It allows for detailed material identification, quality control, and environmental monitoring by providing precise spectral data for each pixel in an image.

What jobs pay $500,000 a year in the US?

In the field of hyperspectral imaging, high-paying roles such as senior research scientists, imaging system engineers, or executive positions in technology companies can reach or exceed $500,000 annually, especially with extensive experience, advanced degrees, and specialized skills in optics, data analysis, and machine learning. These roles often require leadership, innovation, and a strong background in imaging technology or related fields. Compensation varies based on industry, company size, and geographic location, with top-tier positions in tech and research organizations offering the highest salaries.

What are the key skills and qualifications needed to thrive in the Hyperspectral Imaging position, and why are they important?

To excel in a Hyperspectral Imaging role, candidates typically need a strong background in physics, optics, remote sensing, or engineering, often supported by an advanced degree. Familiarity with hyperspectral imaging systems, image processing software (such as ENVI or MATLAB), and data analysis tools is essential, and certifications in remote sensing or data science can be beneficial. Problem-solving ability, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills enable accurate image acquisition and analysis, which are critical for delivering actionable insights in fields like agriculture, environmental monitoring, and defense.

What is a Hyperspectral Imaging job?

A Hyperspectral Imaging job involves working with advanced imaging technology that captures and processes a wide spectrum of light beyond what the human eye can see. Professionals in this field develop, operate, and analyze hyperspectral data for applications such as agriculture, environmental monitoring, healthcare, and defense. They may work in research, industry, or government sectors, using specialized sensors and software to extract valuable insights from spectral data. Key responsibilities include data acquisition, image analysis, algorithm development, and integration with other remote sensing technologies. A strong background in optics, remote sensing, machine learning, and image processing is often required.

What types of projects or industries commonly employ professionals skilled in hyperspectral imaging?

Professionals specializing in hyperspectral imaging are sought after across a variety of industries, including environmental monitoring, precision agriculture, mineral exploration, medical diagnostics, and defense. Common projects might involve analyzing plant health using drone-mounted sensors, detecting contaminants in food production, or supporting geological surveys with advanced spectral analysis. Many roles are project-based and often involve collaboration with scientists, engineers, and data analysts to translate imaging data into practical solutions. Being adaptable and willing to learn about new application areas will help you thrive and access broader career opportunities in this expanding field.

More about Hyperspectral Imaging jobs
What are the most commonly searched types of Hyperspectral Imaging jobs? The most popular types of Hyperspectral Imaging jobs are:
What job categories do people searching Hyperspectral Imaging jobs look for? The top searched job categories for Hyperspectral Imaging jobs are:
Hyperspectral Imaging jobs near you
Infographic showing various Hyperspectral Imaging job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 13% As Needed, 39% Part Time, 1% Temporary, and 45% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $47,834 per year, or $23 per hour.
Scientific Software Engineer - AI/ML for Hyperspectral Imaging

Scientific Software Engineer - AI/ML for Hyperspectral Imaging

Lawrence Berkeley National Laboratory

Berkeley, CA • On-site

Full-time

Posted 22 days ago

Job description

Lawrence Berkeley National Laboratory's (Berkeley Lab) Advanced Light Source (ALS) Division has an opening for a Scientific Software Engineer specializing in AI/ML for hyperspectral imaging. This role advances AI-driven scientific discovery by developing machine learning methods and scalable data analysis tools for complex, high-dimensional scientific datasets.
The engineer will build and generalize segmentation, feature extraction, and modeling workflows, including development of a foundation model to extract scientific information from hyperspectral imaging data across infrared imaging, resonant soft X-ray scattering, tomography, and ptychography.
The Advanced Light Source is a U.S. Department of Energy (DOE) Office of Science national scientific user facility that produces exceptionally bright soft and hard x-ray, ultraviolet, and infrared light. With a strong scientific reputation, expert staff, and advanced capabilities, the ALS attracts thousands of academic and industrial users each year in condensed matter and quantum materials, energy sciences, biosciences, earth and planetary sciences and more.
The ALS is one of five Berkeley Lab user facilities that serve 15,000 users annually. Co-located with the Molecular Foundry, NERSC supercomputing center, and Berkeley Lab's materials, chemical sciences, biosciences, and other divisions, it provides an ideal collaborative environment for innovative scientific discoveries.
The ALS is a global leader in soft x-ray science, and aims to maintain its leadership with ALS-U, a major project to upgrade the facility to a fourth-generation light source. This upgrade will position the facility among the brightest soft x-ray light sources in the world, offering capabilities that no other facility can provide.
Key responsibilities:
  • Expand and generalize AI-driven segmentation and feature extraction workflows across multiple scientific modalities and domains.
  • With general guidance, develop and apply specialized machine learning models for hyperspectral imaging data, serving as a key target domain for high-dimensional spectral-spatial analysis.
  • Operating under broad direction, develop interfaces and data products that enable machine learning models to be integrated into higher-level automation and agent-based systems.
  • Implement scalable pipelines that transform experimental data into structured, semantically meaningful scientific representations.
  • Ensure reproducibility, traceability, and interoperability of software and AI workflows across systems and facilities.
  • Collaborate with scientists and engineers to gather requirements, validate results, and translate scientific needs into software solutions.
  • Design, test, deploy, and maintain robust software using modern development practices (e.g., CI/CD, version control, unit testing).
  • Contribute to open-source projects, develop documentation, provide user support, and communicate work through presentations.

Required qualifications:
  • Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience (Master's or PhD); or equivalent years of work experience.
  • Experience with the open-source scientific Python ecosystem (e.g., NumPy, PyTorch, TensorFlow, scikit-learn).
  • Hands-on experience analyzing complex scientific datasets, including imaging, multivariate, multimodal, multichannel, or volumetric data.
  • Hands-on experience developing, training, or applying AI/ML models, including segmentation methods, for scientific data analysis.
  • Experience developing or contributing to software projects, including collaborative or open-source development.
  • Experience building or maintaining data analysis pipelines or scientific workflows.
  • Ability to work collaboratively with a team of scientists and engineers.
  • Knowledge of AI/ML principles and data analysis methods relevant to complex scientific data, including segmentation, feature extraction, model training, validation, and interpretation.
  • Knowledge of GPU acceleration and performance profiling for large scale workflows
  • Demonstrated ability to design and evaluate workflows for processing, analyzing, and representing complex scientific imaging and high-dimensional data.
  • Proficiency to validate data quality, model outputs, and workflow results against technical and scientific expectations.
  • Proven capability to develop, test, debug, document, and maintain reproducible software and machine learning workflows.
  • Effectiveness in communicating technical results clearly, both in writing and verbally, to interdisciplinary audiences.
  • Flexibility and capacity to learn new scientific domains, data modalities, tools, and computational techniques within evolving project timelines.

Desired skills/knowledge:
  • Experience with hyperspectral scientific datasets.
  • Experience with High-Performance Computing (HPC) environments.
  • Experience with MLOps tools such as MLflow.
  • Experience with CI/CD tools (e.g., GitHub Actions).
  • Familiarity with hyperspectral imaging data.
  • Familiarity with agent-based or AI orchestration frameworks (e.g., LLM-based or multi-agent systems).

Additional information:
  • Application date: Priority consideration will be given to candidates who apply by June 16, 2026. Applications will be accepted until the job posting is removed.
  • Appointment type: This is a full-time 2 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
  • Salary range: The expected salary for this position is $104,580 - $116,184, which depends upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.
  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work modality: This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

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