Chief Principal Engineer - Air Combat Autonomy Portfolio - Clearance Eligible - Remote
Remote
Full Time Senior-level / Expert Clearance required USD 52K - 98K *
EpiSci isn't just another company; we're a rapidly ascending force of innovation, forging ahead with next-gen tactical mission autonomy technologies that span defense, aerospace, and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our Tactical AI prowess is nothing short of extraordinary, offering robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Picture developing AI aviators for cutting-edge aircraft like the F-22 and F-16, revolutionizing wireless tactical communication systems, and fueling the skies with swarms of autonomous UAVs supercharged by sensor fusion.
We understand and cherish the richness that diverse perspectives and backgrounds bring to the table. At EpiSci, we wholeheartedly invite every exceptional individual, regardless of their journey, to join our ranks and become a driving force behind the secure and autonomous world of tomorrow. Your future at EpiSci awaits—ignite your potential and let's redefine what's possible, together.
Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.
Responsibilities
- Oversee the technical development of EpiSci’s Air Combat Autonomy portfolio.
- Work with the portfolio Technical Director to outline a technical product roadmap in support of program deliverables.
- Lead technical proposal writing for new projects in the portfolio.
- Perform project-specific technical decomposition, epic roadmapping, and sprint planning with project owners.
- Lead, mentor, assist, and train teams of engineers do do the following:
- Implement, leverage and improve state-of-the-art software for unmanned aerial systems (UAS) that to perform tactical military missions using common autonomy loops:
- 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 (north east 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)
- Collaborate with autonomy engineers to implement publish/subscribe service-oriented-architecture software for autonomous UASs.
- Build, leverage, and improve robotic autonomy software architectures that can be deployed on real systems to accomplish military missions (including publish/subscribe architectures).
- Design autonomy software 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 F16s, group 1-5 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.
Minimum Qualifications
- Education Requirements:
- Master's degree or PhD in computer science/related engineering field.
- 10+ years of hands-on and leadership experience aviation and autonomous robotic systems.
- Technical Requirements:
- Experience developing decision making AI for autonomous unmanned systems
- Experience managing engineering staff and performing technical road mapping across multiple projects
- Experience with software languages: Python, C++
- Experience in one or more of the following: State Machines, Behavior Trees, Resource Allocation, Task Planning/Scheduling, Machine Learning, Reinforcement Learning
- Experience with probabilistic techniques:, Bayesian Inference, Statistical Modeling
- 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.
- Experience with agile methodologies and project management.
- Additional Requirements:
- 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.
- Travel Requirements
- Must be willing to travel as projects requires. Estimated Travel 25-30%.
- Security Requirements
- (MANDATORY) Must be a U.S. Citizen.
- (MANDATORY) Must be eligible for a U.S. TOP SECRET security clearance with Special Access Program (SAP) Eligibility.
Preferred Qualifications
- Education Requirements:
- Master's degree or PhD in computer science/related engineering field.
- 12+ years of hands-on and leadership experience aviation and autonomous robotic systems.
- Technical Requirements:
- Experience implementing autonomy on hardware and GNC design
- Experience with Probabilistic programming
- Experience working projects related to national security for one or more government agencies.
- Interdisciplinary background, with evidence of continual learning.
- Security Requirements
- (MANDATORY) Must be a U.S. Citizen.
- (MANDATORY) Must be eligible for a U.S. TOP SECRET security clearance with Special Access Program (SAP) Eligibility.
Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Bayesian Classification Computer Science Computer Vision Deep Learning Docker Engineering Fuzzy Logic Git GitLab Helm Linux Machine Learning PhD Python Reinforcement Learning Security SLAM Statistical modeling Statistics Unsupervised Learning
Perks/benefits: Career development
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