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    Principal Engineer - Dallas, United States - Shield AI

    Shield AI
    Shield AI Dallas, United States

    1 week ago

    Default job background
    Description
    The Planning and Controls (PAC) team is an agile group of engineers focused on researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world.
    As a member of the PAC Behavior Group, you will work on developing algorithms and writing production grade software for behavior planning on autonomous aerial vehicles.

    What You'll Do:

    • Research, design, and implement state of the art behaviors and planning algorithms for real time autonomous systems
    • Write clean, well-documented, production grade software in C++ with a test-driven development philosophy
    • Take new features from ideation to prototyping, full implementation, flight testing, and all the way to field deployment
    • Develop tools for rapid prototypes, simulation, visualization, etc.
    • Participate in brainstorm sessions and software design for challenging issues
    • Develop your professional skills and knowledge via regular literature reviews and self-directed learning
    • Work in a collaborative development environment, with an emphasis on continuous integration & delivery, test-driven development
    • Work with middleware frameworks (e.g. ROS, PX4, etc.), build tools (e.g. CMake, Bazel), and compiler toolchains (e.g. gcc, llvm)

    Required Qualifications:

    • M.S in computer science, robotics, aerospace or related engineering field with 12+ years of professional experience
    • OR Ph.D. in relevant engineering field with 10+ years relevant experience
    • Hands on experience in the autonomous vehicle or UAV industry
    • Experience shipping complex robotics or autonomy products in the commercial sector
    • Experience with research or implementing state-of-the-art algorithms in at least one of the following areas:
    • Task and Motion Planning
    • Planning under Uncertainty
    • Task & Resource Allocation
    • Heterogeneous or Homogeneous Robotic Teaming
    • Human Robot Teaming
    • Logistical Planning of Vehicle Routes
    • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
    • You have strong communication skills and are able to effectively articulate ideas and timelines to cross-functional groups

    Preferred Qualifications:

    • Experience shipping two commercial products from conception to commercialization
    • Proficiency in Python
    • Experience using Foxglove
    #LI-OE1 #LF
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