POSTED Dec 12

Senior Engineering Manager, Build & Release (R3073)

at Shield AISan Diego Metro Area

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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. 

As an Engineering Manager of Build and Release on the Hivemind team at Shield AI, you will play a pivotal role in leading the build, release, and distribution of our cutting-edge autonomy SDK. This SDK serves as a core foundation for AI-powered autonomy solutions deployed across specialized platforms. Your work will ensure our developers have a streamlined, reliable, and efficient development process, enhancing developer velocity and deployment confidence. Working closely with autonomy engineers, you’ll focus on optimizing our build systems, managing complex dependencies, and refining release processes to meet the unique demands of autonomy development.
As an Engineering Manager of Build and Release on the Hivemind team at Shield AI, you will play a pivotal role in leading the build, release, and distribution of our cutting-edge autonomy SDK. This SDK serves as a core foundation for AI-powered autonomy solutions deployed across specialized platforms. Your work will ensure our developers have a streamlined, reliable, and efficient development process, enhancing developer velocity and deployment confidence. Working closely with autonomy engineers, you’ll focus on optimizing our build systems, managing complex dependencies, and refining release processes to meet the unique demands of autonomy development.

What You'll Do:

  • Build and Lead a World Class Team
  • Making hiring plans and executing recruiting processes.
  • Driving team direction with task definition and allocation.
  • Grow the team in engineering skill and maturity.
  • Build System and Dependency Management
  • Architect, optimize, and maintain C++ build systems using tools like CMake and Makefiles, focusing on reproducibility and scalability across development and production environments.
  • Manage and integrate dependencies effectively with Conan, ensuring a consistent and secure package management strategy that aligns with SDK requirements.
  • Work with package management tools like Debian to handle cross-platform dependencies, making the SDK accessible to a wide range of developers and systems.
  • Optimization and Profiling
  • Identify and address build performance bottlenecks through profiling tools and techniques, implementing optimizations like caching and precompiled headers to reduce build times and improve efficiency.
  • Apply best practices in compiler and linker configurations for GCC and Clang, ensuring compatibility across various platforms and improving build reliability.
  • Linux Expertise
  • Leverage expertise in Linux-based development to troubleshoot and enhance SDK builds, deploying across distributions like Ubuntu and RHEL.
  • Develop scripts in Bash or ZSH for automation and build process improvements.
  • Version Control and Branching Strategies
  • Collaborate closely with autonomy engineers to support codebase management, continuously improving workflows to reduce development friction.
  • Required Qualifications:

  • 10+ years in software engineering, ideally with C++ development.
  • 5+ years in build and release engineering, ideally within C++-based environments.
  • 2+ years in personnel management or technical leadership of teams.
  • Proficiency with CMake and Linux development.
  • Experience with some C++ package management tool (like Conan).
  • Experience working with CI/CD tools, automated pipelines, and virtualized environments.
  • Preferred Qualifications

  • Deep Conan expertise.
  • Adaptable problem solver - able to learn new skills quickly and can hop into many different projects quickly.
  • Working in large mono-repo or poly-repo projects with 100+ developers.
  • #LI-LD1
    #LE

    Total package details for U.S. based positions:
    - Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity
    - 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

    Total package details for International based positions (where applicable):
    - International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer
    allowance, equity, international benefits, visa assistance, and relocation assistance.

    Salary 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 possible reference check.

    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. 
    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. 

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