Staff Engineer, Shield AI

• 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

Desirable

• 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
• We are seeking an experienced Software Integration Engineer passionate about autonomy development
• In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective
• You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams
• You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases
• This position bridges the gap between engineering development and real-world autonomy applications—ensuring our platform empowers customers to build reliable, mission-ready autonomous systems
• 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