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Shield AI

Builds autonomous aircraft for defense

Staff Software Engineer - Software Integration & Test

Software EngineeringUpdated on Nov 11
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • Typically requires a minimum of 7 years of related experience with a bachelor's degree, 5 years and a master's degree, 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 such as Docker, and build tooling such as CMake and 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 or more contributors, including technical planning and mentorship.
  • Strong understanding of networking concepts and communication protocols.

Responsibilities

  • 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 and software.
  • Define and enforce technical direction, design patterns, and integration practices across projects.
  • Guide teams in building robust messaging and API layers, including gRPC, REST, and 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 multithreaded systems across a range of domains.
  • Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems.
  • Mentor other engineers and contribute to shared tooling and process improvements.
  • Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency.

Desired Qualifications

  • Real-time or distributed simulation experience, such as AFSIM, NGTS, or similar.
  • Familiarity with message-passing infrastructure and web-service technologies such as gRPC, REST APIs, and message queues.
  • Familiarity with open standards such as 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.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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