Staff Engineer, Engineering Tooling & Observability

Responsibilities

• Design, build, and maintain engineering tools for understanding and diagnosing complex software systems.
• Aggregate logs, telemetry, events, faults, diagnostics, and system state to support investigation.
• Build C++ and Python applications, libraries, services, and integrations for complex onboard and distributed systems.
• Correlate information across software components, processes, and machines.
• Build React-based interfaces and interactive visualizations for engineering data.
• Design workflows for debugging, fault investigation, system introspection, and engineering analysis.
• Develop APIs and web services for engineering tooling products.
• Improve developer experience by turning engineering friction into practical tooling.
• Collaborate with software, autonomy, systems, and test engineers to identify and solve high-value problems.
• Treat internal tooling as a product and improve usability and effectiveness based on feedback.
• Establish reusable UI components, UX patterns, libraries, and engineering standards.
• Contribute to the architecture and technical direction of engineering tooling.

Requirements

• Strong modern C++ experience, ideally C++17/20 or later.
• Strong Python development experience.
• Experience debugging and reasoning about complex, concurrent, distributed, or component-based systems.
• Experience designing and maintaining production-quality software, libraries, services, APIs, or applications.
• Strong software architecture knowledge and ability to navigate large codebases.
• Experience building tools for software engineers or other technical users.
• Experience with logs, telemetry, metrics, events, traces, faults, or diagnostic data.
• Ability to correlate behavior across multiple software components and data sources.
• Strong Linux development and debugging skills.
• Experience designing APIs, services, and software interfaces.
• Ability to independently identify engineering problems and develop reliable tooling.
• Sound architectural judgment and effective cross-team collaboration.
• Strong practices in testing, code review, maintainability, documentation, and performance.
• Product mindset focused on usability and developer experience.

Nice to Have

• React, TypeScript, and modern web application development.
• Robotics, autonomous systems, embedded systems, or complex physical systems.
• Interactive data visualization for complex engineering data.
• Time-series, event, telemetry, or high-volume engineering data systems.
• Distributed systems and messaging architectures.
• Systems programming, networking, IPC, and communication protocols.
• UI/UX design for technical or engineering applications.
• Desktop engineering applications.
• Analysis of large-scale telemetry or diagnostic datasets.