- US Citizen only
- Salary range is $ $ 42k to $ 102k depending on your experience.
- Apply expertise to develop new concepts, methods, and technologies, formulate plans, and conduct research and experimentation in geostatistical-analysis, analysis and development of computational systems and the development of computer based models.
- Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
- Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
- Review professional literature to maintain professional knowledge.
- Attend conferences or workshops to maintain professional knowledge
- Prepare or deliver reports or presentations of geospatial project information.
- Prepare scientific or technical reports or presentations.
- Experienced with implementing use-cases for prototype technology
- Ability to design and complete research and development project
- The individual must have one to four years of experience in one or more of the expertise in remote sensing, programming, software architect, machine and deep learning, and lidar.
- Programing
- Python, and ideally desired IDL and R
- Developing ESRI ArcMap/ArcGIS Pro tools, particularly Python Toolboxes
- ESRI (ArcMap, Pro) software product design, maturation and testing (finished products)
- Robot Operating System (ROS) / Gazebo / Rviz / Rtabmap / C / C++
- Lidar
- Advanced experience with 3D point cloud acquisition and processing from both lidar and passive point clouds
- Advanced GPS data processing for autonomous navigation
- Unmanned Aerial System operation (including FAA training certifications)
- Integration of emerging sensors for localization, object Detection, autonomy
- Remote Sensing
- Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
- Analyze geographical data.
- Process aerial or satellite imagery to create products such as land cover maps
- Conduct research into the application or enhancement of remote sensing technology.
- Evaluate new technologies or methods
- Participate in field work
- Develop new analytical techniques or sensor systems
- Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation
- Develop software or applications for scientific or technical use
- Proficient in digital image processing for remotely sensed data
- Proficient in one or more sensor modalities (Multispectral, LiDAR, SAR)
- Design and implementation of fundamental experimentation focusing on:
- multi-modal active and passive sensing systems
- advanced computational analyses, using spatial-temporal big data sets
- basic earth system processes modeling to investigate interactions between air, water, soil, and built up environments
- Familiarity with machine learning, particularly with deep learning and applications in remote sensing data
- Implement artificial intelligence and machine learning methods in geospatial applications
- Knowledge of supervised techniques for regression and classification; unsupervised techniques for statistical analysis; methods for pattern identification and prediction; image processing and feature extraction; probabilistic decision models; general knowledge of clustering, neural networks, tensors, and related AI techniques.
- Software Architect duties/responsibilities
- Design, develop and execute software solutions to address geospatial challenge problem areas
- Provide SW guidance and technical leadership to IT team members
- Evaluate and recommend tools, technologies and processes to ensure the highest quality end-products
- Collaborate with peer organizations and end users to produce cutting-edge software solutions
- Interpret mission requirements to address the business application needs of the organization
- Troubleshoot and debug code level problems quickly and efficiently