Job Information
SAIC AI/ML Senior Systems Engineer in CHANTILLY, Virginia
Description
Galileo seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers.
The engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms applied and integrated into experimental space demonstration systems. This position provides Systems Engineering & Technical Advisory (SETA) support services. Your responsibilities include some or all of the following depending on your personal desires and capabilities:
Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems.
Support Agile SAFe program development processes and activities.
Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs.
Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment.
Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations.
Qualifications
Active TS/SCI clearance with Poly
Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of nine (9) years of relevant work experience or seven (7) years with master’s degree, or three (3) years with PhD degree
Working AI/ML experience
Acquisition support experience with ability to apply solutions to real world problems
Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
Critical thinking, problem-solving, and analytical skills
Interpersonal and communication skills for written reports, group discussion, and oral presentations
Desired Qualifications
Knowledge, skills, abilities, and/or experience in one of more of the following:
R&D of artificial intelligence/machine learning agents training, verification and validation (Deep Reinforcement Learning- strongly desired)
Artificial Intelligence and/or Machine Learning technologies applied to space systems
Kubernetes and/or software containerization
Software system engineering, design, development, integration and test
Small Satellite (SmallSat) system (single vehicles, distributed systems and/or constellations) systems engineering integration
Systems modeling & simulation and/or system performance analysis
IC mission, organizations, disciplines, systems, and/or processes
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site. REQNUMBER: 2407662
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability