Autonomy Engineer, Applied Intuition

• Bachelors degree in computer science/related engineering field
• 2+ years of hands-on experience developing software for autonomous robotic systems
• Experience in developing software for autonomous robotic systems
• High proficiency in Python or C++ programming languages
• Strong functional, procedural, data-oriented, and object-oriented programming experience employing clean code principles and good design patterns/principles
• Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~10%)
• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

Desirable

• As an Autonomy Engineer on the Air Combat Autonomy team at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical autonomy applications
• Here, you won't just follow the norm; you'll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications
• The challenge is profound, and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities
• Our expectation is that employees primarily work in-office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly
• This role will write software that operates real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
• Build, leverage, and improve robotic autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions
• Implement, leverage and improve state-of-the-art unmanned aerial system (UAS) autonomy solutions to sense, make sense, decide, and act in the context of tactical military missions
• Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware
• Implement and optimize autonomy algorithms for tasks such as sensor processing, track propagation and correlation, environment mapping, mission and trajectory planning, reasoning over discrete or uncertain states, optimization, learning, and control theory