Remote Sensing Algorithm Engineer (multiple positions open

Barone Consulting; St. Louis, Dayton, Springfield (MO, OH, VA); Remote; USD 80,000 - 130,000; Full time

Job summary

An established industry player is on the lookout for a Remote Sensing Algorithm Engineer to join their dynamic team. This role offers an exciting opportunity to work on advanced intelligence analysis for defense and intelligence communities. You will design and implement algorithms that enhance target detection and material identification, while collaborating with interdisciplinary teams. The ideal candidate will possess strong programming skills and a deep understanding of remote sensing techniques. If you're passionate about technology and looking to make a significant impact, this position is perfect for you.

Qualifications

• Experience in developing and validating remote sensing algorithms for geospatial applications.
• Strong programming skills in Python, C++, and MATLAB required.

Responsibilities

• Collaborate with teams to create innovative solutions for data exploitation.
• Design algorithms to enhance target detection and geospatial analysis.

Skills

Python

C++

MATLAB

Remote Sensing Techniques

Data Calibration

Machine Learning for Spectral Data

Geospatial Applications

Effective Collaboration

Education

Ph.D.

M.A./M.S.

B.A./B.S.

Tools

ENVI/IDL

Hyperspectral Imaging Cameras

Spectroradiometers

Field Instrumentation Devices

Job description

Remote Sensing Algorithm Engineer (multiple positions open)

Springfield, VA / St. Louis, MO / Dayton, OH

Category: Remote Sensing Algorithm Engineer (multiple positions open)

Position: Full-time, Senior or SME

Clearance: TS-SCI-Poly

Compensation: Highly Competitive

We are seeking an experienced Remote Sensing Algorithm Engineer who specializes in multiple modalities, sensor technologies, and spectral phenomenology such as EO/IR, MSI, and HSI to support a large R&D program focused on providing advanced intelligence analysis for the DoD and IC communities. Please note that we are not looking for an imagery analyst. The right candidate will have software engineering skills and an in-depth understanding of sensor capabilities, along with expertise in processing collected data to derive meaningful insights.

Key Responsibilities:

• Collaborate with analysts and engineers to create innovative solutions that improve data exploitation capabilities.
• Design and implement algorithms that enhance target detection, material identification, and geospatial analysis.
• Integrate and optimize software tools for end-users in the GEOINT and IMINT analytic community.
• Produce technical documentation.

Required Skills:

• Ability to develop, test, and validate remote sensing algorithms for geospatial applications.
• Strong programming skills in Python, ENVI/IDL, C++, and MATLAB.
• Background in remote sensing techniques, especially hyperspectral image processing and data calibration.
• Experience developing tools for hyperspectral data analysis.
• Effective collaboration skills to work with interdisciplinary teams across the DoD and IC.

Desired Bonus Skills:

• Advanced mathematical expertise in areas such as machine learning for spectral data.
• Background in physics-based modeling and signal processing for remote sensing applications.
• Familiarity with hyperspectral image calibration and preprocessing techniques.
• Hands-on experience with portable or handheld field instrumentation devices such as FTIRs, hyperspectral imaging cameras, spectroradiometers, or spectrometers (e.g., ASD, SVC, D&P, Exoscan, Bayspec – OCI Series, Spectral Evolution – PSR Series, Headwall Photonics – Nano-Hyperspec, Micro-Hyperspec).

Security Clearance, Education, and Experience Requirements:

• For the SME Level:
• Ph.D. and 10 years of experience, or
• M.A./M.S. and 18 years of experience, or
• B.A./B.S. Degree and 22 years of experience.
• For the Senior Level:
• Ph.D. and 2 years of experience, or
• M.A./M.S. and 6 years of experience, or
• B.A./B.S. Degree and 10 years of experience.
• For the Mid-Level:
• Ph.D. and 0 years of experience, or
• M.A./M.S. and 4 years of experience, or
• B.A./B.S. Degree and 4 years of experience.