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Computer Vision Engineer

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Job ID: 2307487
Location: CHANTILLY, VA, United States
Date Posted: Dec 18, 2023
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description

Description

SAIC is seeking a Computer Vision Systems Engineer to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC Prime Program, Landmark AOS in in Chantilly, VA. Landmark AOS is a large SETA program, supporting the NRO’s Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.

As the Computer Vision Systems Engineer you will provide specialized engineering expertise supporting the acquisition of computer vision (machine learning automated target recognition (ATR)) software services.

Responsibilities to include:

  • Provide program management and technical engineering support to the Government customer to manage computer vision machine learning analytics programs; execute and evaluate cost, performance, schedule, and risks throughout the program life cycle
  • Provide acquisition and programmatic expertise to support the planning of future systems and architectures, and oversight of development contractors
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway, and efficiency trade-offs against current and proposed/desired cloud-based software system design
  • Develop briefings and documentation material to illustrate features, capabilities, and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them 
  • Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics

Qualifications

Required Education and Experience

  • Bachelor’s Degree in engineering, mathematics, science, or related discipline and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience
  • Active Top Secret/SCI Clearance with Polygraph
  • Demonstrated experience in supporting technical, cost and schedule performance of software development programs
  • Expertise and experience with the IC acquisition cycle, requirements processes, budgetary practices, and acquisition documentation
  • Demonstrated capability and success working in team environments
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment
  • Experience working with the MS Office suite of applications

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.

Overview

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 includes 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.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.9 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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