Expert Engineer - Robotics AI Deployment (f/m/div.)

• As part of our team, you will bring up the target embodiment end to end, covering robot interfaces, sensors, calibration, coordinate frames, time synchronization, grippers, as well as control modes. You implement and debug the integration yourself, working across the control stack and embodiment, including ROS 2.
• You will integrate world-/video-action models, learned policies, reasoning agents, as well as executable code or graph policies with the control stack. You translate their outputs into validated robot commands and feedback contracts while working with the corresponding model and code/graph-policy runtimes.
• Additionally, you will engineer execution across inference and control rates, including action buffering, interpolation, latency, jitter, stale observations, watchdogs, limits, as well as recovery mechanisms. You also profile compute, memory, and communication on target hardware and use hardware-in-the-loop tests to validate the integration.
• You will build repeatable physical rollout loops with scene reset, outcome verification, telemetry, as well as failure replay. You support ASPIRE/ENPIRE-style refinement through controlled experiments and explicit release gates, developing robust reset and verification tooling.
• Furthermore, you will take ownership of first deployments and staged rollouts without relying on a staffed deployment team. You version software, models, as well as embodiment configurations while implementing regression tests, monitoring, plus rollback in collaboration with safety and security specialists, supported by dedicated deployment and rollout tooling.
• Using the Agentic AI Software Factory, you will build integration and test tooling while verifying generated work on hardware. You then feed reproducible failures back into architecture and model development.

Function: Research
Experience Level: Associate