Autonomous Sensing and Perception is currently seeking an R&D Computer Scientist to join their team.
The selected candidate will perform software/algorithm research and development work focused on making orbital, aerial, and terrestrial sensors and their associated platforms and support equipment more autonomous through the application of cutting-edge remote sensing and perception methods, with specific emphasis on research and development of precision geolocation capabilities. The selected candidate will research, develop, and deploy automated photogrammetric software solutions within autonomous sensing systems.
The successful application will have experience in relevant technical areas such as programming (C++ and python), GPU acceleration of algorithms, image processing and exploitation as well as strong technical communication skills, leading project teams and sponsor engagement.
On any given day you may be called upon to:
- Conduct analysis of sensor data collections employing advanced statistical methods and mathematical techniques to extract meaningful insights
- Identify and explore potential quantitative approaches for autonomous information extraction/analysis suitable for higher-confidence decision making.
- Develop algorithms that will enable the autonomous processing of multiple live sensor streams in real time, in both data center and edge environments.
- Implement and deploy high potential approaches in software, working closely with diverse teams of scientists and engineers from across Sandia and external partner organizations (government, academia, industry) that are designing and building multiple sensor systems, platforms, and ground stations.
- Provide technical input on existing and future designs and documents for geospatial intelligence working groups, standards bodies, and sponsors.
- Produce feasibility and level-of-effort estimates for project proposals and contract solicitations.
- Coordinate research and development efforts across internal and external teams to achieve programmatic goals.
- Assist in upholding best software practices by contributing to CI/CD pipeline design, implementation, maintenance, and documentation using GitLab CI/CD and other DevOps tools
- Investigate and remediate problems in real time within operational systems and workflows
- Work onsite due to the sensitive and classified nature of the work environment
