EpiSci is hiring a
Multi-Agent Teaming Autonomy Engineer

Summary

The job is for an Autonomy Engineer at EpiSci, a rapidly ascending force of innovation in tactical mission autonomy technologies. The role involves developing AI architectures for autonomous agents, building autonomous products that operate in semi-autonomous environments, and implementing techniques to promote explainability within the decision making architecture. The job requires a Bachelor's degree in computer science or related engineering field with 5+ years of experience in multi-agent teaming software for autonomous robotic systems. Preferred qualifications include a Master's degree, experience with modern C++, and familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing.

Requirements

• Education Requirements: Bachelor’s degree in computer science/related engineering field
• 5+ years of hands-on experience developing multi-agent teaming software for autonomous robotic systems
• Experience in one or more of the following: State Machines, Behavior Trees, Resource Allocation, Task Planning, Machine Learning, Reinforcement Learning
• Experience developing decision making AI for autonomous unmanned systems
• Experience with Python
• Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles
• 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

Responsibilities

• Build decision making architectures for coordination of actions across teams of autonomous agents
• Build autonomous products that operate in semi-autonomous environments with limited human interaction
• Develop and implement techniques to promote explainability within the decision making architecture
• Write software that operates real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models and more to accomplish tactical military missions
• Implement, leverage and improve state-of-the-art decision making technology for unmanned aerial systems (UAS) that perform tactical military missions using common autonomy loops

Preferred Qualifications

• Education Requirements: Master’s degree in computer science/related engineering field
• 8+ years of experience developing multi-agent teaming software for autonomous robotic systems
• Experience with modern C++
• Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing
• Experience working projects related to national security for one or more government agencies
• Interdisciplinary background, with evidence of continual learning

Benefits

• Travel Requirements: Must be willing to travel as projects requires. Estimated average travel is once every other month for between 2 days up to 1 week. (~20%)
• Location Requirements: Remote
• Security Requirements: Must be a U.S. Citizen. Must be eligible for a U.S. SECRET security clearance with Special Access Program Eligibility