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Computer Vision Engineer

Date: Jul 28, 2022

Location: Fort Belvoir, Virginia, US

Company: QinetiQ

Who Are We?

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ Inc.’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ Inc. means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend. 

Why Join QinetiQ Inc.?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ Inc. will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
 

QinetiQ is seeking an experienced computer vision engineer, you will be responsible for supporting the design, development, and analysis of high-performance deep learning algorithms at our customer site in Fort Belvoir, VA. The selected applicant will be responsible for the following:

 

  • Develop, evaluate, and optimize various deep learning models for computer vision tasks
  • Conduct data analysis and exploration to gain insights on large, unstructured data sets with numerous variables
  • Design, develop, and distribute internal Python tools for data cleaning, analysis, and visualization
  • Optimize code for memory efficiency and speed using various data structures, operations, and libraries
  • Test software deliveries, provide feedback, and recommend courses of action to reach project objectives
  • Generate charts, infographics, tables, and visual images to convey data analyses and algorithm evaluations
  • Ensure software documentation accuracy to improve user adoption, save support time and costs, and allow for easier maintenance
  • Prepare, revise, and present technical information on a weekly basis to project team and agency partners
  • Collaborate with an interdisciplinary team of developers, engineers, and statisticians using git-based code hosting and collaboration tools

 

To Land This Job, You Need:

 

  • Bachelor's degree in Data Science, Machine Learning, Electrical Engineering, Software Engineering, Computer Engineering, Computer Science, or applicable engineering or science field
  • Experience in computer vision and/or deep learning for object detection and classification
  • Experience with any machine/deep learning frameworks like Tensorflow, Keras, and PyTorch
  • Proficiency in Python and related packages like numpy, pandas, scikit-image, opencv, matplotlib, seaborn, etc.
  • Understanding of popular metrics used to evaluate computer vision tasks like ROC curves, confusion matrices, etc.
  • Excellent verbal and written communication skills for effectively communicating with the team and presenting information to varied technical and non-technical audiences

 

Clearance Level Must Currently Possess:

DOD Secret or Higher

 

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No One Has Time for Long Job Applications!

We completely understand, that is why we have made the application process easy. We promise. This will be simple.

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ Inc. is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.