Modeling & Simulation Engineer - Clearance Eligible - (Hybrid/Near Eglin AFB)
Near Eglin Air Force Base, Florida
Software /
Full-time /
Hybrid
Are you ready to take the helm in shaping the future of tactical mission autonomy, standing shoulder-to-shoulder with trailblazers who are turning cutting-edge dreams into tangible reality? As a vital member of the growing EpiSci team, your influence will be immediate and transformative as we propel towards a future where security and autonomy unite in unprecedented ways.
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.
As a Modeling & Simulation Engineer at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical AI 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.
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.
Core Responsibilities
- Write autonomy 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.
- 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).
- 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 the supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc.
- Take new autonomy capabilities from ideation through prototyping, M&S, flight testing, and fielding on front-line aircraft and robotic systems.
- 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).
- 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.
- Set-up and integrate hardware-in-the-loop (HWIL) systems, to test the performance of software solutions on real flight hardware.
- Support live flight test of autonomy software on F16s, group 1-5 unmanned aerial vehicles (UAVs).
- Build, leverage, and improve analysis tools to analyze autonomy algorithm performance.
- Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware.
- Contribute novel ideas for new and existing research and development projects.
- Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions.
Minimum Qualifications
- Education Requirements:
- Bachelor’s degree in computer science/related engineering field.
- 3+ years of hands-on experience developing software for autonomous robotic systems
- Technical Requirements:
- Experience in developing software for autonomous robotic systems in C++ and Python.
- High proficiency in Python and/or C++ w/CMAKE (preferably both) in Docker-based Linux (RHEL, Ubuntu) environments.
- 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, & Nexus.
- Experience designing, implementing, leveraging, and improving state-of-the-art autonomy algorithms in 1 or more of the following areas listed above.
- 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 average travel is once every other month for between 2 days up to 1 week. (~10%)
- Security Requirements
- Must be a U.S. Citizen.
- Must be eligible for a U.S. SECRET security clearance with Special Access Program (SAP) eligibility.
Preferred Qualifications
- Education Requirements:
- Master’s degree in computer science/related engineering field.
- 4+ years of experience developing software for autonomous robotic systems in C++ and Python.
- Technical Requirements:
- 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.
- Security Requirements
- Current U.S. SECRET security clearance with Special Access Program (SAP) eligibility.
$120,000 - $140,000 a year
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $140,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. EpiSci is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team.
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.