Program Manager

Summary

Join EpiSci, a rapidly growing company developing next-generation tactical mission autonomy technologies, as a Program Manager. You will play a pivotal role in managing programs designing and implementing architectures and systems for various Tactical AI applications in defense, aerospace, and commercial domains. This involves managing the entire lifecycle of autonomy software development, from ideation to field testing, for unmanned systems. You will collaborate with diverse teams, including government agencies and third-party vendors. The position requires significant program management experience in defense contracting and a strong technical background in autonomy algorithms and software development. EpiSci values diversity and encourages applications from individuals who may not meet every requirement.

Requirements

• Bachelor’s degree in computer science/related engineering field
• 7+ years of program management experience managing cost, schedule, performance of defense contracts
• Strong experience program managing defense contracts such as firm, fixed, price (FFP), cost plus fixed fee (CPFF), etc
• Strong experience interacting with government and prime contract customers
• Strong experience managing cost, schedule, performance
• Strong experience managing software teams using agile processes (spiral, scrum, kanban)
• Experience curating and managing software backlogs in Gitlab
• Basic conceptual understanding of software development (programming, containerization, configuration management, DevOps) and autonomy software products
• Experience leading programs that develop software for autonomous robotic systems in C++ and Python
• Experience managing programs that design, implement, leverage, and improving state-of-the-art autonomy algorithms in 1 or more of the following areas
• Autonomy loops such as: “Sense, Make Sense, Decide, Act (SMDA)”, “Observe, Orient, Decide, Act (OODA)” loops., “Perceive, Decide, Act’ (PDA)” loops
• Sense : Environment sensing and modeling, computer vision, sensor processing, classification, anomaly detection
• Make Sense: Environment mapping, data interpretation, 3D voxel grids, GeoGrids, WGS84, aerospace coordinate systems and reference frames (northeast down (NED), Geocentri & Geodetic latitudes, Earth-centered-inertial (ECI), earth centered earth fixed (ECEF)), no fly zones, keep-in/keep-out zones, etc. Sensor fusion and target tracking. Find, fix, track, target (F2T2)
• Decide: State machines, behavior trees, optimization algorithms, constraint solving, classic algorithms (A*, RRT*, DFS, BFS, Branch & Bound, Random Forests), heuristics, optimization, Kalman filters, particle filters, etc. Artificial intelligence techniques such as deep reinforcement learning, reinforcement learning, machine learning, neural networks, supervised learning, unsupervised learning, generic algorithms, Bayesian networks, fuzzy logic, etc
• Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots. Guidance, navigation, and controls (GNC)
• Experience managing programs that take new autonomy capabilities from ideation through prototyping, M&S, flight testing, and fielding on front-line aircraft and robotic systems
• Experience managing programs that build, leverage, and improve vehicle dynamics models, sensor models, weapon models (and model interfaces) in modeling and simulation (M&S) environments needed to test and evaluate autonomy capabilities (e.g., AFSIM, NGTS, TacView, JSBsim, AirSim, PX4/MAVLink, QGC, TAK, etc)
• Experience managing programs that leverage, build, and improve modeling and simulation environments (e.g., AFSIM, NGTS, AirSim, PX4/MAVLink, QGC, TAK, etc) to rigorously design and test new algorithms
• Experience managing programs that set up and integrate hardware-in-the-loop (HWIL) systems, to test the performance of software solutions on real flight hardware
• Experience supporting live flight test of autonomy software on F16 fighter jets, and/or group 1-5 unmanned aerial vehicles (UAVs)
• Passion for solving complex problems with little supervision in a fast-moving team
• Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams
• Must be willing to travel as projects requires. Estimated average travel is once every month for between 2 days up to 1 week. (~25%)
• Must be a U.S. Citizen
• Must already possess or be eligible for a U.S. SECRET security clearance with Special Access Program (SAP) eligibility

Responsibilities

• Manage programs that involved building autonomy software that operates real autonomous unmanned systems including a variety of maritime surface vehicles, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models and more to accomplish tactical military missions
• Manage programs that research, design, implement, leverage, and improve state-of-the-art unmanned aerial system (UAS) autonomy algorithms in the following autonomy categories to perform tactical military missions
• Autonomy loops such as: “Sense, Make Sense, Decide, Act (SMDA)”, “Observe, Orient, Decide, Act (OODA)” loops., “Perceive, Decide, Act’ (PDA)” loops
• Sense: Environment sensing and modeling, computer vision, sensor processing, classification, anomaly detection
• Make Sense: Environment mapping, data interpretation, 3D voxel grids, GeoGrids, WGS84, aerospace coordinate systems and reference frames (northeast down (NED), Geocentri & Geodetic latitudes, Earth-centered-inertial (ECI), earth centered earth fixed (ECEF)), no fly zones, keep-in/keep-out zones. Sensor fusion and target tracking, etc. Find, fix, track, target (F2T2)
• Decide: State machines, behavior trees, optimization algorithms, constraint solving, classic algorithms (A*, RRT*, DFS, BFS, Branch & Bound, Random Forests), heuristics, optimization, Kalman filters, particle filters, etc. Artificial intelligence techniques such as deep reinforcement learning, reinforcement learning, machine learning, neural networks, supervised learning, unsupervised learning, generic algorithms, Bayesian networks, fuzzy logic, etc
• Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots. Guidance, navigation, and controls (GNC)
• Manage programs that build, leverage, and improve robotic autonomy software architectures that can be deployed on real systems to accomplish military missions (including publish/subscribe architectures)
• Manage programs that design autonomy software the supports full integration with vehicle autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc
• Manage programs that take new autonomy capabilities from ideation through prototyping, M&S, field testing, and fielding on front-line unmanned and robotic systems
• Manage programs that build, leverage, and improve vehicle dynamics models, sensor models, weapon models (and model interfaces) in modeling and simulation (M&S) environments needed to test and evaluate autonomy capabilities (e.g. AFSIM, NGTS, TacView, JSBsim, AirSim, PX4/MAVLink, QGC, TAK, etc)
• Manage programs that build, leverage, and improve modeling and simulation environments (e.g. AFSIM, NGTS, AirSim, PX4/MAVLink, QGC, TAK, etc) to rigorously design and test new algorithms
• Manage programs that set-up and integrate hardware-in-the-loop (HITL) systems, to test the performance of software solutions on real vehicle hardware
• Manage programs that involve live field tests of autonomy software on maritime vehicles, group 1-5 unmanned aerial vehicles (UAVs), and other platforms
• Manage programs that build, leverage, and improve analysis tools to analyze autonomy algorithm performance
• Collaborate with 3rd party USV/UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM USV/UAS hardware
• Contribute novel ideas to improve programs and projects
• Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions

Preferred Qualifications

• Master’s degree in computer science/related engineering field
• 10+ years of program management experience managing cost, schedule, performance of defense contracts
• Experience with Earned Value Managment System
• Experience designing, implementing, leveraging, and improving state-of-the-art autonomy algorithms in 3 or more of the following areas listed under minimum qualifications
• Experience with autonomous Unmanned Aerial Systems (UAS) integration including: Command and control of systems, Datalinks & IP networks (TCP/UDP/Mesh), Sensor payloads, Autopilot integration, GPS/INS systems, Flight hardware (e.g., VPX Chassis)
• Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing
• Proficiency with AFSIM, NGTS, AirSim, PX4/MAVLink, QGC, and/or TAK
• Experience with flight testing real autonomous systems
• Experience working projects related to national security for one or more government agencies
• Interdisciplinary background, with evidence of continual learning
• Experience with Jira and Confluence
• Experience writing scripts and building tools to aid in automation of financial tracking/ program management tasks
• Current U.S. SECRET security clearance with Special Access Program (SAP) eligibility

Benefits

• $220,000 - $250,000 a year
• Equity
• Sign-on payments
• Other forms of compensation
• Full range of medical
• Financial
• Other benefits