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Manager, Software Engineering - Action (Motion Planning) (R2484)

Shield AI

Shield AI

This job is no longer accepting applications

See open jobs at Shield AI.
Software Engineering
San Diego, CA, USA · San Diego, CA, USA · Oregon, USA
Posted on Thursday, January 25, 2024
Introduction to Shield AI
Founded 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.
Job 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 Software Engineering Manager in PAC, you will lead a team at the intersection of motion planning and controls. You will work closely with talented engineers to architect core systems, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.

What you'll do:

  • Serve as the Functional Team Lead for the Motion team (e.g. career & technical mentorship, performance reviews, 1:1’s, etc.).
  • Work on systems related to trajectory optimization, motion primitive libraries, robust & adaptive control, system identification, aerodynamics, rigid body dynamics, etc.
  • Architect core systems that must be portable and scalable across different UAS platforms and compute architectures (including soft and hard real-time operating systems).
  • Work in collaboration with our DevOps teams to architect and maintain our cloud infrastructure, working with containerization technologies such as Docker and Kubernetes; assist with cross-platform builds and test orchestration, working with build tools (e.g. CMake, Bazel, etc.) and compiler tool chains (e.g. gcc, llvm, etc.).
  • Lead and mentor the team through technical execution of work, road mapping, sprint/agile processes, software best practices, experimental analyses, removing blockers, etc.
  • Grow the team by identifying skill and capacity shortages, then generating and executing to hiring plans.
  • Collaborate with our engineers, program, and product managers to define a technical roadmap for future autonomy solutions.
  • Act as a product owner for the overall technical product of your team.
  • Other duties as assigned.

Projects that you might work on:

  • Architecting and implementing common motion planning algorithms for different UAS platforms.
  • Port core Action libraries to EdgeOS, a Shield AI Middleware framework, that enables portability of PAC libraries to multiple platforms and compute architectures.
  • Design and implement an analysis and simulation framework that: enables testing of various components in isolation or in a fully integrated manner; supports parameter sweeps; supports hardware-in-the-loop.

Required qualifications:

  • 7+ years of experience in engineering autonomous systems or equivalent engineering roles.
  • 2+ years of people leadership experience leading teams of 4+ people.
  • M.S in aerospace engineering, computer science, or related engineering field.
  • Have shipped production code for at least 1 commercial product.
  • Experience with C++ 11 or newer in a production environment.
  • Experience in a collaborative development environment, focused on continuous integration/delivery & test-driven development.
  • Strong knowledge of modern software engineering best practices.
  • Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others.
  • Track record of shipping commercial products.
  • Experience in the autonomous vehicle industry.
  • Strong organizational skills.

Preferred qualifications:

  • Ph.D. in aerospace engineering, computer science, or related engineering field.
  • Knowledge of ROS.
  • Knowledge of Python.
Total package details:
Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity (if applicable)
Temporary 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 equity
Actual 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 check.
If you're interested in being part of our team, apply now!
Shield 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.

This job is no longer accepting applications

See open jobs at Shield AI.