Software Engineer, Applications

Job description

Job responsibilities

• Build the deployment platform. Design and ship internal tools and systems for site bring-up, robot configuration, fleet monitoring, remote diagnostics, data capture, failure triage, deployment checklists, and…
• Partner with Operations. Embed with the Ops team to understand field reality, identify which failures matter most, and turn manual workflows into reliable software.
• Close the loop with the model team. Build the pipelines that route useful data and failure cases from the fleet back to research, and make it easier to compare performance across different environments and tasks.
• Applied research and engineering. Participate in applied research focused on ensuring model-level stability and consistency when deploying complex AI models into unpredictable real-world environments.
• End-to-end infrastructure architecture. Design and build highly reliable infrastructure that bridges on-robot application software with large-scale off-board computing and cloud operations.
• Bridge research and reality. Act as the technical bridge between our core AI research teams and our deployment reality, translating complex lab research into robust, field-ready systems.
• Engineering excellence. Champion rigorous testing, continuous integration, and scalable software practices that ensure our systems can handle the immense complexity of the physical world.