Vacancy expired!
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. With revenues of $125M+, and a staff of more than 630, Riverside Research provides high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. Riverside Research also supports advanced technical education and collaborates widely with university researchers. The company was formed from a respected research laboratory at Columbia University and has a current focus on technical areas including Radar systems, Optics and Photonics, Electromagnetics, Plasma physics, Geoint, Masint, Systems Engineering, and Modeling & Simulation. Riverside Research's open innovation R&D model encourages both internal and external collaboration to accelerate innovation, advance science, and expand market opportunities. In 2015, Riverside Research expanded its facility in Dayton, OH, adding a 30,000 square-foot Open Innovation Center (OIC). The OIC is a collaborative R&D environment that fosters creativity, synergy, and ultimately delivers innovative solutions to current and anticipated challenges. The OIC sets the standard for collaborative innovation and is dedicated to promoting research across the company. Riverside Research has additional research facilities in Boston, MA; New York, NY; Centreville, VA; and Champaign, IL.
Job Number: 582 Riverside Research is seeking a Mid-Level Image/Video Systems Engineer to help address national security challenges. This position requires a developer who can solve problems with complete end-to-end solutions in a fast-paced, agile environment. All Riverside Research opportunities require U.S. Citizenship. This position has some Telework flexibility options. Job Responsibilities:- Identify and implement system improvements
- Build and test new capabilities into the enterprise service
- Analyze future functionality and enhancements
- Mentor junior teammates
- TS/SCI clearance, with ability to complete CI polygraph
- Experience developing C , Python and CUDA kernels extensions for custom network components and evaluation metrics
- Experience creating custom deep neural network components and new performance metrics
- Experience designing and executing experiments utilizing overhead imagery
- Knowledge of Docker and Singularity for the execution of environments for experiments across compute architectures domains
- Ability to deploy models created by the team on various partner platforms for evaluation and feedback
Vacancy expired!