Shield AI

Staff Software Engineer, C++ Software Integration (R4018)

Shield AI$130K — $155K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of 7 years of relevant experience; Bachelor's degree or equivalent.
  • Advanced proficiency in C++ (14/17/20) and legacy code (C++98/03).
  • Strong background in Linux/Unix systems, including debugging tools.
  • Experience in distributed systems and real-time processing.
  • Proven skills in CI/CD systems and build tools, particularly Docker and CMake.
  • Proficient in Python; familiarity with other automation tools.
  • Deep understanding of networking concepts and communication protocols.

Responsibilities

  • Architect and implement C++ and Python systems across platforms.
  • Lead design and integration of distributed systems and simulation tools.
  • Define and enforce technical standards across projects.
  • Guide teams in developing robust messaging and API layers.
  • Manage CI/CD pipeline evolution using tools like GitLab CI and Docker.
  • Debug and optimize real-time, multi-threaded systems.
  • Oversee end-to-end integration efforts across systems.

Benefits

  • Bonus structure based on performance.
  • Equity options available.
  • Comprehensive health benefits package.
  • Retirement plan options.
  • Paid time off and holidays.
Full Job Description
This role is for a seasoned C++ generalist and systems integrator who thrives at the intersection of software, infrastructure, and integration. You'll lead complex technical efforts across distributed systems and simulation environments, with minimal oversight. Your work will shape foundational capabilities that power autonomy, simulation, and real-time system interfaces across multiple platforms.

What You'll Do:
  • Architect and implement high-performance C++ and Python systems across cross-platform environments.
  • Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software.
  • Define and enforce technical direction, design patterns, and integration practices across projects.
  • Guide teams in building robust messaging and API layers (e.g., gRPC, REST, ZeroMQ) that bridge critical system components.
  • Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake.
  • Lead debugging and optimization of real-time and multi-threaded systems across a range of domains.
  • Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems.
  • Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements.
  • Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency.

Required Qualifications:
  • Typically requires a minimum of 7 years of related experience with a
  • Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.
  • Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases.
  • Proficiency in Linux/Unix environments, including system-level development and debugging tools.
  • Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces.
  • Significant experience with CI/CD systems, containerization (e.g., Docker), and build tooling (e.g., CMake, Conan).
  • Proficiency in Python and familiarity with other scripting and automation tools.
  • Deep knowledge of Linux environments (Windows experience is a bonus).
  • Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship.
  • Strong understanding of networking concepts and communication protocols.
  • Active SECRET clearance.

Preferred Qualifications:
  • Real-time or distributed simulation experience (e.g., AFSIM, NGTS, or similar).
  • Familiarity with message-passing infrastructure and web-service technologies like gRPC, REST APIs, and message queues.
  • Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems.
  • Experience integrating simulation with autonomy frameworks or real-time operators.
  • Experience developing and integrating with modeling or analysis pipelines.
  • Ability to obtain a TS/SCI clearance.

#LI-LD1

#LD

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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