Tactical AI for a Safe, Autonomous Future
Unmanned Aerial Systems • Autonomous Distributed Systems • Cognitive Radio Networks • Signal Detection and Classification • Robotics
July 26
🏡 Remote – New York
Tactical AI for a Safe, Autonomous Future
Unmanned Aerial Systems • Autonomous Distributed Systems • Cognitive Radio Networks • Signal Detection and Classification • Robotics
• You will be part of a team of engineers developing collaborative autonomy behaviors for large teams of heterogenous autonomous vehicles, across different domains (e.g., surface, air), with different sensor suites (e.g., camera, radar) that work together to accomplish complex mission vignettes. • Your responsibility will primarily be enhancing the computer vision ATR system, but you will work with the team to make the entire system successful. • Adapt and develop cutting edge image processing, computer vision and object detection algorithms to operate in complex environments, with a need for persistent target tracking and integration within autonomous systems. • Adapt and develop vision autonomy algorithms to control a camera in pursuit of better situational awareness and to support agent behaviors (e.g., intelligently scanning the environment, keeping an object centered in the FOV of the camera while vehicle is underway, dynamically zooming in on a target to get better imagery, etc.). • Work with a team of engineers to conceive, develop, and implement machine learning-based methods for platform-agnostic automated target recognition solutions. • Troubleshoot and debug complex issues related to sensors and communications, ensuring robust and reliable operation. • Contribute novel engineering ideas, algorithms and concepts for new and existing research and development projects. • Collaborate with cross-functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions. • Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors.
• Bachelor’s degree in computer science or engineering (electrical & computer, systems and industrial, mechanical, etc.) • 1+ years' experience in integration and unit testing. • Experience with Git, Gitlab, Linux, C++, Python. • Standardize and Improve Delivery Pipeline by implementing best practices for CI/CD to enhance and standardize EpiSci’s software delivery process. • Ensure efficient and reliable software deliveries for the Cross-Domain Autonomy (XDA) team. • Take charge of unit and integration testing. • Collaborate with team members to ensure sound software deliveries to customers. • Adapt and apply skills in various operating system contexts. • Leverage academic knowledge to support software development and testing activities. • 2+ years’ experience in integration and unit testing. • Experience with Docker, containerized development environments and using Windows and Linux-based operating systems e.g., RHEL, Ubuntu, Bash. • Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations. Estimated average travel is every 1-2 months for 2-5 days. (10-20%). • (MADATORY) Must be a U.S. Citizen. • (MADATORY) Must be eligible for a U.S. SECRET security clearance.
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