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 behaviours, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms.

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 behaviours.
• 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 behaviour 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.
• Optimise 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.

Requirements:

• 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.

Preferences:

• Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.
• Experience with hardware or embedded systems.
• Expert knowledge of Python.
• Experience with ROS.
• Experience with white box testing
• Familiarity with networking, operating-systems, and radio communications.
• Experience designing automated tooling for testing for GUI applications.
• Experience designing automated tooling for testing server applications.

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