Software Engineer - Autonomy Infrastructure, Systems and Tools

Job description

Job responsibilities

• Design and build robust replay and analysis systems that enable engineers to inspect and reproduce recorded autonomy behavior, with fine-grained control over system state, perception outputs, and decision-making at…
• Develop scalable infrastructure for automated testing and failure triage , expanding our simulation and log-driven test coverage while accelerating root-cause analysis through automated log processing and diagnostics.
• Operate at the interface between autonomy software and core robotics middleware , defining clear APIs, data contracts, and performance requirements for messaging, state propagation, and coordination across subsystems,…
• Design and implement high-quality developer infrastructure and tools that prioritize reliability, performance, and usability, enabling rapid iteration, safe experimentation, and sustained velocity across the autonomy…
• Lead the design and implementation of scalable tools used across autonomy development and testing workflows.
• Collaborate with autonomy, QA, and infrastructure teams to gather requirements, align on priorities, and deliver impactful tooling.
• Build tools that streamline stages of the robotics development process.
• Take ownership of internal services from concept through deployment and monitoring.

Job requirements

• Experience building performance-sensitive systems (profiling, multithreading, real-time constraints) in robotics, aerospace, automotive, or similar domains.
• Exposure to robotics / simulation / physics engines.
• Background in telemetry systems, log ingestion pipelines, or automated test environments.
• Front-end development skills in modern web frameworks (e.g., React, TypeScript, Three.js, Plotly) with a focus on data interaction and visualization.
• Familiarity with distributed systems or cloud-hosted services used to support internal tools and customer applications.