Shield AI

Senior C++ Engineer - Foundations (R6023)

Shield AI • $120K — $190K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field.
  • 7+ years of experience with a Bachelor's; 6 years with a Master's; 4 years with a PhD; or equivalent experience.
  • Strong proficiency in C++11 or newer in a production environment.
  • Experience in designing, developing, and debugging multithreaded systems.
  • Experience with real-time operating systems and embedded platforms.
  • Solid understanding of systems programming concepts like concurrency and performance optimization.
  • Experience in writing automated tests and clear technical documentation.

Responsibilities

  • Own the architecture and implementation of critical features for EdgeOS and EdgeOS RT middleware.
  • Develop runtime services and abstractions for Linux and resource-constrained platforms.
  • Design and develop tools for evaluating, observing, and debugging autonomous systems.
  • Contribute to and extend EdgeOS Language for data representation in autonomous systems.
  • Collaborate with engineers across various teams to deliver capabilities from design to integration.
  • Enhance engineering standards through design reviews, mentorship, and documentation.

Benefits

  • Bonus opportunities.
  • Equity options.
  • Comprehensive benefits package for full-time employees.
  • Temporary benefits package after 60 days for temporary employees.
Full Job Description
Job Description:

Shield AI is seeking a Senior Engineer to help design and develop the middleware framework upon which Shield AI autonomy is developed. As part of the Hivemind Foundations team, you'll focus on building the high-performant, reliable, and robust foundational layer of the Hivemind SDK, EdgeOS. The Hivemind Foundations team ensures that autonomous systems have the functionality required to deploy to platforms operating in some of the most restrictive and demanding environments around the world. They also create the tools that enable autonomy engineers develop, understand, debug, and rapidly iterate on complex autonomous systems.

What you'll do:

  • Own the architecture and implementation of features critical to EdgeOS and EdgeOS RT middleware.
  • Develop runtime services and abstractions that operate across Linux, real-time operating system, and resource-constrained computing platforms.
  • Design and develop the tooling used to evaluate, observe, and debug autonomous systems.
  • Contribute to and extend EdgeOS Language, Hivemind's interface definition language, which defines how data is represented within autonomous systems, between agents, and with third-party systems.
  • Collaborate closely with autonomy, systems, simulation, and test engineers to deliver capabilities from initial design to integration.
  • Raise the engineering bar though design and code reviews, technical guidance, documentation, and mentorship.


Required qualifications:

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 6 years with a Master's; or 4 years with a PhD; or equivalent work experience.
  • Strong proficiency in C++11 or newer in a production environment.
  • Experience designing, developing, and debugging multithreaded systems.
  • Experience developing software for real time operating systems and embedded platforms.
  • Strong understanding of systems programming concepts, including concurrency, memory management, resource constraints, and performance optimization.
  • Experience writing automated tests and clear technical documentation.


Preferred qualifications:

  • Experience with C++17 or newer standards.
  • Experience writing MISRA C++ or comparable coding standards for safety-critical or airborne systems.
  • Experience with systems engineering design principles and requirements.
  • Experience software assurance frameworks such as DO-178C.
  • Familiarity with ROS2 or similar robotics frameworks.
  • Experience with interface definition languages, serialization systems, or code-generation tooling.
  • Knowledge of CMake and Nix build systems.
  • Experience profiling and debugging complex software across multiple hardware and operating-system environments.


$120,000 - $190,000 a year

#LI-KC3

#LC

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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