Autonomy Integration Engineer

February 10

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EpiSci

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Unmanned Aerial Systems • Autonomous Distributed Systems • Cognitive Radio Networks • Signal Detection and Classification • Robotics

11 - 50 employees

🤖 Artificial Intelligence

🚀 Aerospace

🔐 Security

Description

• Integrate software that operates on real autonomous aircraft systems including group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models and more to accomplish tactical military missions. • Collaborate with autonomy engineers to integrate production C++ software. • System administration of embedded compute such as NVIDIA Jetson, Modal AI VOXL, Raspberry Pi, etc.​ • Integrate embedded compute with UAS autopilot(s) such as Pixhawk (ArduPilot and/or PX4)​ • Integrate embedded compute with MANET radio(s)​ • Integrate embedded computer with sensing & perception hardware such as:​EO/IR Camera Systems​, Radar/RF Systems • Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc. • Support live flight test of autonomy software on unmanned aerial vehicles (UAVs). • Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware. • Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions.

Requirements

• Bachelor’s degree in computer science/related engineering field. • 2+ years of hands-on experience integrating software into robotic systems. • Experience integrating autonomy/robotics products onto embedded compute modules such as:​ NVIDIA Jetson, Modal AI VOXL, Raspberry Pi​ • Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4)​ • Experience integrating with communication busses & protocols:​UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet • General experience in C/C++, Python, Bash • Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu). • Experience using git, Visual Studio Code, GitLab, Nexus, SonarQube.

Benefits

• Must be willing to travel as projects require. Estimated average travel is once every other month for between 2 days up to 1 week. (~20%) • This is a remote position. • Must be a U.S. Citizen. • Must be eligible for a U.S. SECRET security clearance.