Collaborative Autonomy Engineer - Networked Collaborative Autonomy

Company: Tbwa Chiat/Day Inc
Location: San Diego
Posted on: March 14, 2025

Job Description:

About EpiSciEpiSci 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 roleAs a Collaborative Autonomy Engineer on the Networked Collaborative Autonomy team, you will develop collaborative autonomy behaviors for large teams of heterogenous autonomous vehicles, across different domains (e.g., surface, air), with different sensor suites (e.g., camera, radar) that work together to accomplish complex mission vignettes. Your team will continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of HW platforms. Your responsibility will primarily be designing and developing multi-agent, multi-domain behavioral autonomy algorithms, and you will work with the team to make the entire system successful.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%).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).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.
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Keywords: Tbwa Chiat/Day Inc, San Diego , Collaborative Autonomy Engineer - Networked Collaborative Autonomy, Engineering , San Diego, California