Computer Vision Systems Engineer (Washington DC)

| Washington DC
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Description

SAIC is seeking a Computer Vision Systems Engineer to fill a critical position on the LANDMARK AOS program. The position will be located in Chantilly, VA. All candidates must have an active TS/SCI clearance with Polygraph.

LANDMARK AOS is a large SETA contract, supporting the customer's Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.

This position will provide specialized engineering expertise supporting the acquisition of computer vision (machine learning automated target recognition) software services. SAIC's client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing. The qualified candidate will assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.

Job Responsibilities:
  • 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
You will work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.

Qualifications

Active Top Secret/SCI Clearance with Polygraph

Bachelor degree in engineering, mathematics, science, or related discipline and 5 years total experience (or a MS degree + 3 years or a PhD)

Demonstrated experience in managing 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

Good working knowledge of MS Office applications

Desired Qualifications:

Strong engineering background with knowledge of software architectures and machine learning approaches for computer vision applications

Domain knowledge in Agile software development practices and Cloud computing architectures

Experience supporting system architecture, design or development in an AWS/C2S environment

Experience monitoring developer progress via agile metrics, identifying risks, discrepancies, and performance issues

Certification in agile software development methods (Scrum, SAFe)

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.
More Information on SAIC
SAIC operates in the Information Technology industry. The company is located in Reston, VA. SAIC was founded in 2013. It has 34621 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 633 open jobs at SAIC, click here.
Read Full Job Description
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Similar Jobs

Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView SAIC's full profileFind similar jobs