Expert Robotics AI (fmdiv.)

• As part of our team you will own the robotics AI architecture and technical hypotheses selecting world-action and video-action models VLA policies embodied reasoning or classical planning according to task data and execution constraints.
• You will design heterogeneous systems that connect learned models with Code-as-Policy programs Graph-as-Policy structures and reusable skills. You specify state and action representations interfaces execution checks as well as recovery behavior.
• Additionally you will implement and adapt models and agentic robot programs. You investigate predictive dynamics imitation learning reinforcement learning or feedback-driven skill refinement then justify your choices with baselines and ablations.
• You will also define evaluation across simulation and physical rollouts including held-out tasks embodiment transfer intervention rate latency recovery and doing so you distinguish first-attempt success from results achieved through retries.
• Furthermore you will collaborate closely with the deployment engineer to turn the architecture into a functioning embodiment. Together you diagnose model planning or control failures and revise the design based on measured robot behavior.
• Using the Agentic AI Software Factory you will drive implementation and experiments while validating generated code and experimental conclusions. You maintain reproducible artifacts versioned skills and accountable release decisions.

Qualifications :

• Education: completed Bachelors or Masters degree in Robotics Computer Science Machine Learning Control Engineering or a related field
• Experience and Knowledge: 
  • substantial hands-on contributions to robotics AI systems on physical robots with defensible architecture decisions and reproducible results
  • deep expertise in predictive world-/video-action modeling or agentic robot planning and Code-as-Policy integrating learned and classical components; relevant experience may include GaP CaP-X or ASPIRE/ENPIRE-style feedback loops; comparable implementations are equally accepted and mastery of every named framework is not required
  • proven expertise in action grounding temporal consistency uncertainty and failure recovery
  • strong Python and PyTorch/JAX skills in training/adaptation inference and experiment design combined with the ability to inspect C and robot-control interfaces
  • demonstrated own code or model contributions supported by meaningful baselines and measured hardware outcomes
  • terminology familiarity or model-API integration alone is insufficient
• Personality and Working Practice: you are an architect who writes and debugs code challenges weak assumptions and follows ideas through to physical evidence
• Enthusiasm: building robot intelligence that combines prediction reasoning and reliable execution
• Languages: very good spoken and written German and English

Additional Information :

 
a global company we are legally required to comply with applicable EU and U.S. (re-)export control and sanctions regulations. This means that for certain particularly sensitive positions we may only hire individuals who have undergone an additional legal screening. This position is one such sensitive role. We will therefore ask you for additional information required for this screening as the application process continues. You can find information about the processing of your data in our Privacy Notice for the application process. 

Permanent open-ended position in the engineering organization for Robert Bosch Robotics GmbH.

Apply with your CV and two concise technical case studies: your contribution architecture implementation evaluation and failure analysis. Include robot results and code papers or demonstrations where shareable; anonymized technical accounts are accepted.

We offer flexible working models: from part-time options to mobile working and job sharing. Diversity and inclusion are firmly anchored in our culture.

Need support during your application
Meltem Rudolph (Human Resources)
 

Need further information about the job
Jan Schneider-Kraus (Functional Department)

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time