The company is seeking a Mid-Level Software Engineer to support the software integration, quality assurance, delivery, and sustainment of a Counter Unmanned Aerial System (c-UAS) for the Digital Night Vision Technology (DNVT) customer.
Requirements
- Experience in design, integration, and test of multiple sensor inputs
- Experience supporting MLOps, DevOps, or application development roles with experience with developing in Python, Java, or C++
- Experience with system integration using a variety of protocols, including JSON, REST, and XML
- Experience with sensor integration ranging from optics sensors such as EO/IR, SWIR, and MWIR to active and passive radars
- Experience with natural language processing, deep learning, or computer vision project work
- Experience with Android Team Awareness Kit (ATAK)
- Experience with DHS, DoD, c-UAS or UAS programs
Responsibilities
- Support the integration of additional technologies into the digital c-UAS systems including sensor and effector systems
- Support digital c-UAS sensor fusion and sensor/effector capabilities related to algorithm improvements from parsed sensor data
- Support enhancements to digital c-UAS Threat prediction capabilities that provide target threat level information to the operator and other components of digital c-UAS systems that consume this information
- Support digital c-UAS Android Team Awareness Kit (ATAK) user interface enhancement
- Providing support to on site and remote data collection, testing, and demonstration events
- Support the Agile release of SW updates
- Provide virtual and/or on-site troubleshooting and technical assistance to ensure digital c-UAS system functionality or to integrate additional digital c-UAS system components
Other
- Live in the National Capital Region and work on site 5 days a weeks at the customer site on Fort Belvoir VA or at the QinetiQ office in Lorton, VA
- Up to 20% travel may be required
- Ability to obtain a DoD Secret Clearance
- BS degree in an engineering discipline or Computer Science or 5+ years of equivalent experience in either Software Engineering or experience with data fusion and state estimation, including Kalman filter, SLAM, and signal processing
