Collaborative Autonomy Engineer - Networked Collaborative Autonomy

About EpiSci

EpiSci is redefining tactical mission autonomy. These technologies span across defense 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 offers robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Our AI increases human capability in aircraft like the F-22 and F-16; it’s revolutionizing wireless tactical communication systems and filling the skies with swarms of autonomous UAVs supercharged by sensor fusion.

About the role

At EpiSci, you will:

• Contribute novel engineering ideas, algorithms, and concepts for cutting edge, modular, and agile autonomy capabilities in the fields of optimization, persistent search, and coordinated behaviors, applicable to a diverse set of Defense problems  
• Write software that operates real autonomous aircraft systems (small UxS) as they accomplish tactical problems; the autonomy stack consists of a component-based architecture, and development will include robust modeling and simulation, software-in-the-loop, hardware-in-the-loop and flight test
• Troubleshoot and debug data sets generated during live, virtual, or constructive swarm autonomy testing on small UxS including complex behavioral autonomy system performance and robust, explainable operations
• Collaborate with cross-functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions
• Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors

We're looking for someone who has:

• Bachelors or Masters in Robotic Engineering, Computer Science, or related engineering field
• 3+ years of hands-on experience with Multi-Agent Algorithms including sensor localization and mapping (SLAM), task allocation/optimization and behavior logic frameworks (state machines, behavior trees, hierarchical task networks)
• Experience with modern C++ development (2020, 2017), CMake, Python and Bash
• Experience with containerization (Docker)
• Comfortable in both Linux and Windows
• Comfortable with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Travel Requirements:

• Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%)
• Interested candidates should also inquire about relocation assistance to EpiSci facilities near Destin, FL

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

Nice to have:

• Masters or PhD in Robotic Engineering, Computer Science, or related engineering field
• 5+ years of hands-on experience with Multi-Agent Algorithms and machine learning techniques, including reward functions, supervised learning, unsupervised learning and deep reinforcement learning
• Proficiency in modern C++ (2020, 2023), CMake, Conan.
• Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware devices (e.g., Nvidia Jetson, Xilinx RF/MPSOC, Raspberry Pi5)
• Willingness to relocate to EpiSci facilities near Destin, FL, Washington DC, or San Diego, CA

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $100,000 to $190,000 USD annually.