Autonomy Software Integration Engineer

Shield AI; San Diego (CA); On-site; USD 152,000 - 229,000; Full time

Job summary

Shield AI is seeking an experienced Software Integration Engineer to advance the Hivemind autonomy stack for autonomous robotics. You will become a power user of the Hivemind SDK, understand capabilities, and identify gaps from a customer perspective to improve workflows and edge-case handling.

You will collaborate with engineering and product teams to validate new autonomy capabilities, integrate them into the platform, and help ensure mission-ready autonomous systems across simulation,

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) testing environments.
• Strong expertise with CI/CD pipelines.
• Strong problem-solving skills and a proven track record of delivering high-quality software solutions.
• Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.

Responsibilities

• 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 DevOps 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.

Skills

Python

C++

CI/CD

Communication

Problem solving

ROS

HIL testing

Education

Bachelor's in CS/Comp Eng/Robotics

Master's degree

PhD

Tools

ROS

CI/CD tooling

Job description

Shield AI is seeking an experienced Software Integration Engineer to advance the Hivemind autonomy stack for autonomous robotics. You will become a power user of the Hivemind SDK, understand capabilities, and identify gaps from a customer perspective to improve workflows and edge-case handling.

You will collaborate with engineering and product teams to validate new autonomy capabilities, integrate them into the platform, and help ensure mission-ready autonomous systems across simulation,