About Sandia:

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
• Extraordinary co-workers
• Some of the best tools, equipment, and research facilities in the world
• Career advancement and enrichment opportunities
• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a R&D S&E, Computer Science to join our team.

The selected candidate will perform 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 a specific emphasis on spatiotemporal and multimodal data analytics, visualization, and sensemaking.

The successful applicant will have experience in spatiotemporal data analytics and visualization, spatiotemporal sensemaking, multimodal data fusion, graph-based analytics, human-machine teaming, remote sensing systems, machine intelligence (i.e. artificial intelligence, machine learning, and deep learning), pattern recognition, supervised and unsupervised classification, target detection, signature matching, image and signal processing, computer vision, photogrammetry and object geolocation, and associated algorithm development and high performance computing.

On any given day, you may be called on to:

• Analyze data from sensor collections and relevant historical repositories to identify and explore potential quantitative approaches that would allow for information to be automatically extracted from the data and properly contextualized for higher-confidence autonomous signature detection, pattern recognition, and decision making.
• Develop algorithms that will enable the autonomous processing of a large number of live sensor streams in real time, combined with historical data from relevant repositories, 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.

Some travel is required for this position. Due to the nature of the work, this candidate must work onsite.

Qualifications We Require:

• Masters in a STEM field such as Electrical Engineering, Computer Science, Mathematics, Statistics, Data Science, Remote Sensing, Geomatics, Imaging Science, Geography, Geology, Environmental Science, Earth Science, Atmospheric Science, Planetary Science, Physics, Robotics, or another relevant science or engineering field, plus 1 or more years of relevant experience.
• Experience with conceiving, proposing, and conducting both basic and applied research projects, assembling and leading small project teams, technical writing (e.g., journal articles, conference contributions, white papers, reports), and/or interacting directly with project sponsors.
• Experience with pattern of life analysis and event prediction analysis based on geospatial coordinates.
• Familiarity with spatiotemporal data analytics and visualization, spatiotemporal sensemaking, multimodal data fusion, graph-based data analytics, human-machine teaming, image and signal processing, pattern analysis, machine intelligence (e.g., artificial intelligence, machine learning, and deep learning), photogrammetry and object geolocation techniques, information theory, and/or real-time processing algorithms.
• Experience in geospatial pattern analysis, geospatial-SQL tools, or geospatial software libraries (e.g., GDAL, PDAL, PCL, PROJ, OSSIM, Cesium, NITRO).
• Experience performing rigorous analysis and algorithm development with large volumes of sensor data, including knowledge and experience in relevant programming languages such as Python, MATLAB, IDL, R, Scala, Julia, Rust, C/C++, or other relevant programming language.
• Ability to obtain and maintain a DOE Q-level security clearance and SCI-level clearance.

Qualifications We Desire:

• PhD in a STEM field such as Electrical Engineering, Computer Science, Mathematics, Statistics, Data Science, Remote Sensing, Geomatics, Imaging Science, Geography, Geology, Environmental Science, Earth Science, Atmospheric Science, Planetary Science, Physics, Robotics, or another relevant science or engineering field.
• Knowledge of SAR imaging systems and associated ATR technologies
• Experience performing analysis of synthetic aperture radar, electro-optical data, or other imaging modalities.
• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Keras, scikit-learn).
• Experience with image processing and computer vision software frameworks (e.g., OpenCV, ImageJ, ITK, scikit-image).
• Experience with hierarchical and metadata-rich file formats (e.g., NITF, HDF).
• Experience with scientific, high-performance, distributed, and/or cloud computing.
• The ability to work effectively as a member of diverse, multidisciplinary project teams.
• An active DOE Q-level security clearance and an active SCI-level clearance; or other equivalent active security clearance such as DOD Top Secret and SCI-level Clearance.

About Our Team:

Departments 5445 and 5448 provide Automatic Target Recognition and Precision Geolocation software solutions to support within the Integrated Military Systems Program at Sandia. The focus is primarily on software, but the algorithms must interface with hardware systems to be successful. Typically, these algorithms support the United States Air Force and other Department of Defense Agencies. The current focus is on the use of Synthetic Aperture Radar to detect and geolocate targets of interest with overhead sensors. This department focuses on the research and development of new algorithms and approaches, as well as the deployment of these algorithms. The department strives to provide leadership to the Laboratory and the Nation in the creative development, use, and application of both Automatic Target Recognition and Precision Geolocation technologies. The department staff pride themselves in team accomplishments, professional development, and the mentorship of others.

Posting Duration:

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

Security Clearance:

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs:

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Job ID: 693247