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Sign Up to ReadAs part of our team, you will turn robot use cases into measurable capability and acceptance goals, covering embodiment constraints, task success, intervention rate, cycle time, plus recovery. You make experiment and deployment readiness explicit.
In the expert track, you will implement and evaluate a substantial component spanning world-/video-action models, learned skills, agentic planning or code/graph policies, integrating it into a working robot system.
In the TPO track, you will take ownership of technical scope, backlog, and release decisions. You prioritize experiments that retire architecture, data, and embodiment risks while requiring physical evidence before accepting capability claims.
Additionally, you will connect model and system architecture with control-stack integration, data, simulation, and physical rollouts. You challenge interface assumptions, runtime limits, plus the transfer from benchmark to deployment.
You will own agreed deliverables within the nucleus team and explain the trade-offs between learned, predictive, agentic, and classical approaches. Based on failure analysis, you decide what to improve, defer, or stop.
Using the Agentic AI Software Factory, you will drive implementation or technical product work, verify outputs, and maintain traceability from capability requirements through experiments to release evidence.
Part of the week in the office
Company hidden
Office in Germany
Still hiring, not crowded yet, and you'd be among the first.
Still hiring?
10 checksActively hiring
In its favour2
How crowded?
6 checksLow
In its favour3
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$175,000 - 225,500 / year
Salary by agreement