Autonomy Engineer, Applied Intuition

• Master’s degree in computer science/related engineering field
• 6+ years of hands-on experience developing software for autonomous robotic systems
• Experience in developing software for autonomous robotic systems
• High proficiency in Python programming language
• Strong functional, procedural, data-oriented, and object-oriented programming experience employing clean code principles and good design patterns/principles
• Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment
• Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law
• Only considering candidates located within 60 min of Irvine, CA, or those willing to drive to Irvine multiple times a week; the candidate should also understand that relocation may be necessary after 2026

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
• 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