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Staff Engineer, Software Integration; R4482

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Shield AI
Full Time position
Listed on 2026-02-09
Job specializations:
  • Software Development
    Robotics, Software Engineer, AI Engineer
Job Description & How to Apply Below
Position: Staff Engineer, Software Integration (R4482)

Overview

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit (Use the "Apply for this Job" box below).

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Job Description

Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you!

Role

The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives.

What

you ll do
  • Become a systems integration expert for autonomous robotics:
    Develop deep expertise in our AI-powered autonomy stack.
  • Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.
  • Understand the full system end-to-end—from sensor inputs to autonomous behaviors.
  • Integrate new capabilities into the autonomy stack:
    Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components.
  • Enable platform bring-up and validation:
    Lead the integration of autonomy software onto new robotic hardware platforms.
  • Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles.
  • Develop integration tooling & infrastructure:
    Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments.
  • Support cross-platform compatibility:
    Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries.
  • Analyze system behavior and root-cause issues:
    Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging.
  • Optimize integration workflows and CI/CD:
    Partner with Dev Ops teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness.
  • Validate system requirements and interface contracts:
    Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.
Required qualifications
  • Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD.
  • Proficiency in programming languages including Python or C++.
  • Experience with autonomous systems or server applications or middleware.
  • Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.
  • Proficiency with simulation tools and hardware-in-the-loop (HIL)…
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