Vantor

HQ
Westminster, Colorado, USA
Total Offices: 11
2,500 Total Employees
Year Founded: 1969

Offices at Vantor

Vantor is headquartered in Westminster, Colorado, USA and has 11 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified

U.S. Office Locations

HQ
Westminster, Colorado, USA

1300 W 120th Ave, Westminster, CO, United States, 80234

Arlington, Virginia, USA

4350 N Fairfax, Suite 950 , Arlington, VA, United States, 22203

Chantilly, Virginia, USA

4501 Singer Court, Suite 220, Chantilly, VA, United States, 20151

Colorado Springs, Colorado, USA

1975 Research Parkway, Suite 315 , Colorado Springs, CO, United States, 80920

Denver, Colorado, USA

Denver, CO, United States

Herndon, Virginia, USA

2325 Dulles Corner Blvd, Herndon, VA, United States, 20171

Longmont, Colorado, USA

1601 Dry Creek Drive, Longmont, CO, United States, 80503

Melbourne, Florida, USA

705 East Strawbridge Ave, Suite 201, Melbourne, FL, United States, 32901

Orlando, Florida, USA

3000 Discovery Drive, Suite 100, Orlando, FL, United States, 32826

Saint Louis, Missouri, USA

710 N. Tucker Boulevard Suite 316, Saint Louis, MO, United States, 63101

Tampa, Florida, USA

601 Bayshore Blvd, #825 , Tampa, FL , United States, 33606

Recently posted jobs

2 Days AgoSaved
In-Office
El Segundo, CA, USA
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
The role involves Systems Engineering and Integration for Ground Systems, focusing on technical specifications, collaboration, and communication with various entities to support military operations.
18 Days AgoSaved
In-Office
El Segundo, CA, USA
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
The Space Systems Risk Management Engineer will apply systems engineering and risk management to complex space systems, focusing on integration and performance evaluation.
2 Days AgoSaved
Remote
United States
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.