Expert Robotics AI (f/m/div.)

Bosch Group; Renningen; On-site; EUR 90,000 - 140,000; Full time

Job summary

Bosch Group seeks a hands-on architect of Robotics AI within our initial Industrial Robot Skills team in Germany. You will define how predictive models, reasoning, executable skills and control work together, then implement and test these ideas on real robots.

You will collaborate with deployment engineers to translate architecture into a working embodiment, validating results with reproducible artifacts and versioned skills. Fluent German and English are required.

Qualifications

• Hands-on robotics AI system development on physical robots.
• Expertise in predictive world- or video-action modeling or agentic planning.
• Strong Python and PyTorch/JAX skills for training, adaptation, inference and experiment design.
• Ability to inspect C++ and robot-control interfaces and integrate learned and classical components.
• Proven code or model contributions with baselines and hardware results.

Responsibilities

• Own robotics AI architecture and technical hypotheses, selecting world-action and video-action models and policies.
• Design heterogeneous systems connecting learned models with Code-as-Policy and Graph-as-Policy structures.
• Implement and adapt models and agentic robot programs with justified baselines and ablations.
• Define evaluation across simulation and physical rollouts, including task transfer and latency.
• Collaborate with deployment engineer to turn architecture into functioning embodiment.
• Drive implementation and experiments with reproducible artifacts and versioned skills.

Skills

Python

PyTorch/JAX

C++

Robotics AI

Code debugging

Education

Bachelor/Master in Robotics or CS

Job description

At Bosch, we shape the future with technologies that enrich people’s lives. Join Robert Bosch Robotics GmbH as the hands-on architect of Robotics AI within our initial Industrial Robot Skills team. Define how predictive models, reasoning, executable skills and control work together, then implement and test the critical ideas on real robots. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

• 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 repeatability. In 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: completedBachelor’s or Master’s 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

As 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.

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