Principal Engineer, Behavior Planning - Dallas, United States - Shield AI

Description

Introduction to Shield AIFounded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems.

In pursuit of this mission, Shield AI is building the world's best AI pilot.

Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova).

The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI's products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.

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 systemsWrite clean, well-documented, production grade software in C++ with a test-driven development philosophyTake new features from ideation to prototyping, full implementation, flight testing, and all the way to field deploymentDevelop tools for rapid prototypes, simulation, visualization, etc.

Participate in brainstorm sessions and software design for challenging issuesDevelop your professional skills and knowledge via regular literature reviews and self-directed learningWork in a collaborative development environment, with an emphasis on continuous integration & delivery, test-driven developmentWork 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 experienceOR Ph.
D. in relevant engineering field with 10+ years relevant experienceHands on experience in the autonomous vehicle or UAV industryExperience shipping complex robotics or autonomy products in the commercial sectorExperience with research or implementing state-of-the-art algorithms in at least one of the following areas:Task and Motion PlanningPlanning under UncertaintyTask & Resource AllocationHeterogeneous or Homogeneous Robotic TeamingHuman Robot TeamingLogistical Planning of Vehicle RoutesYou have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to othersYou 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 commercializationProficiency in PythonExperience using Foxglove$238,256 - $357,384 a year#LI-OE1#LFTotal package details:Regular employee positions: Salary within range listed above + Bonus + Benefits + EquityTemporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment)*Interns/Military Fellows/Part-time not eligible for bonus, benefits or equityActual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.

All offers are contingent on a cleared background and reference check.

If you're interested in being part of our team, apply nowShield AI is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

If you have a disability or special need that requires accommodation, please let us know.#J-18808-Ljbffr