Job Description
Job ID: 2611722 Location: Chantilly, VA, US Date Posted: 2026-04-30 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets include secure high-end solutions in engineering, digital, artificial intelligence and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective and efficient solutions that are critical to achieving our customers' missions SAIC is looking for systems engineering analytic support for a highly dynamic and growing program with one of our US Government customers. You will be a part of a large multi-year contract that supports our customer in systems engineering and integration across a broad portfolio of projects. You will come into a program that enjoys a close working relationship with the customer, bringing exquisite technical expertise to bear on real world problems, helping the customer execute real world missions that impact National Security on a daily basis. This close relationship, along with the program's longevity (20 years), ensures that as a new team member you will find a depth of support to grow and develop that is unmatched, all while making a difference - daily. As an analytic support systems engineer you will perform technical analyses, engage in modeling and simulation and general engineering evaluation of various systems and data to support all-source analytic threat assessments. You will work side by side with the customer's analysts to provide regular and ad-hoc reports within each of those areas. You will need to be comfortable working independently and as a team researching varying datasets and providing your interpretations and evaluation of these datasets correlations - to include any valuable conclusions about the systems these datasets are derived from. Qualifications Must currently hold a TS/SCI and Poly in order to be considered Minimum of 9 years of relevant experience Bachelor's Degree or relevant professional experience can be substituted A high degree of familiarity with RF systems and engineering, to include radar, RF sensors and optical systems ?A high degree of competency with various software tools and coding languages, to include STK, Python as well as various other MODSIM and dataset tools to support evaluation of target system characteristics, operations and system observations A moderate degree of familiarity with relevant domain surveillance concepts, sensor types, observation formats/standards, observation processing and derived products An ability to operate independently and provide guidance and feedback to the customer to enhance the analysis process Familiarity with reviewing relevant reporting and the ability to identify opportunities where further technical analysis, data analysis or MODSIM efforts could lead to greater insight into capabilities or operations of the relevant system Must be an excellent communicator with the ability to convey technical concepts and results to non-technical audiences Must be highly capable with all Microsoft Office products SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .