Job Description
Overview
Own Your Future.
Modern Technology Solutions, Inc. (MTSI) is seeking a Hyperspectral Scientist/Engineer.
Why is MTSI known as a Great Place to Work?
Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security.
Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
100% Employee Ownership: we have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
Great Benefits - Most Full-Time Staff Are Eligible for:
Starting PTO accrual of 20 days PTO/year + 10 holidays/year
Flexible schedules
6% 401k match with immediate vesting
Semi-annual bonus eligibility (July and December)
Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
Up to $10,000 in annual tuition reimbursement
Other company funded benefits, like life and disability insurance
Optional zero deductible Blue Cross/Blue Shield health insurance plan
Track Record of Success: We have grown every year since our founding in 1993
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit .
Responsibilities
The Senior Hyperspectral Scientist/Engineer will support the National Air & Space Intelligence Center (NASIC). The candidate will help improve the understanding and utility of new sources of multi and hyperspectral GEOINT data, as well as to develop or prototype methods to calibrate, correct, process, analyze and/or exploit existing and future multi/hyperspectral data sources. The candidate will also accomplish activities necessary to perform research and development to: increase understanding of multi-/hyperspectral data from current and emerging sensors, including data formats; evaluate and monitor data quality; explore the application of the data to NASIC and IC problem sets; and to explore, understand, improve, and apply processing techniques and algorithms to the data. In addition, the Senior Hyperspectral Scientist/Engineer will:
Conduct research to characterize hyperspectral sensor data.
Review, evaluate, and recommend methodologies to assess hyperspectral data quality, establish long term data quality trends in support of future R&D projects and analytical application improvements to include identification of new/novel targets within the data.
Evaluate and investigate data products from hyperspectral sensors to identify potential solutions to analytical challenges and gaps encountered by analysts exploiting hyperspectral data.
Evaluate and recommend potential solutions that address identified analytical issues such as exploitation of challenging target types.
Research and evaluate novel data processing and exploitation algorithms applicable to exploiting hyperspectral data and targets of interest, including atmospheric correction, identifying spectral features, and material detection/identification throughout the entire electro-optical spectrum.
Assess existing hyperspectral tools, the applicability to the mission, and the level of effort to integrate each methodology into modern software, hardware, and network resources
Characterize new sensors to meet intelligence requirements.
Develop applicable target lists and suggest improvements to data formats, updating prototype code to read those formats, and supporting community working groups for the new sensor efforts.
Qualifications
Requirements:
Strong knowledge of passive sensor phenomenology, capabilities, and limitations.
Background in data characterization and algorithm development.
Familiarity with National GEOSPATIAL Intelligence Agency (NGA) mission, products, and role in the NSG community.
Experience supporting research and development projects.
Ability to research advanced topics independently or as part of a highly skilled technical team.
Demonstrated oral and written communications, including the ability to prepare briefings of technical material to technical and non-technical audiences.
Top Secret Clearance required.
Qualifications:
BS in Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, Image Science, Remote Sensing, Geography, or related STEM degree program.
5 years' experience.
Ability to manage, manipulate, process, and analyze multi and hyperspectral data sets.
Strong track record of developing novel pre/post-processing algorithms.
Demonstrated knowledge/programming skills (i.e. MATLAB, Python, C++).
Strong technical writing and briefing skills.
Clearance:
Active TOP SECRET clearance with eligibility for Sensitive Compartmentalized Information (SCI)
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MTSI is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
