Expert Robotics AI (f/m/div.)
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Before you apply
LocationRenningen, BW, de
Work modehybrid
Typefull-time
SeniorityLead
DepartmentEngineering
Company size10,000+ people
PostedNov 5, 2026 · 2d ago
Verified live20h ago
At a glanceSummarised by Seekless from the posting.
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
Design heterogeneous systems that connect learned models with Code-as-Policy programs, Graph-as-Policy structures, and reusable skills
Implement and adapt models and agentic robot programs, investigating predictive dynamics, imitation learning, reinforcement learning, or feedback-driven skill refinement
Define evaluation across simulation and physical rollouts, including held-out tasks, embodiment transfer, intervention rate, latency, recovery, and repeatability
Collaborate closely with deployment engineer to turn architecture into functioning embodiment
Drive implementation and experiments using Agentic AI Software Factory, validating generated code and experimental conclusions
Completed Bachelor's or Master's degree in Robotics, Computer Science, Machine Learning, Control Engineering or a related field
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
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 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
Architect who writes and debugs code, challenges weak assumptions, and follows ideas through to physical evidence
Building robot intelligence that combines prediction, reasoning and reliable execution
Very good spoken and written German and English
Skills
Python
PyTorch
JAX
C++
Code-as-Policy
Graph-as-Policy
Benefits
Flexible working models
Part time options
Mobile working
Job sharing
Company 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
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Education: completed Bachelor’s or Master’s degree in Robotics, Computer Science, Machine Learning, Control Engineering or a related field
•
Experience and Knowledge:
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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
https://www.bosch-ai.com
www.bosch.com/research
Legal
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.
Permanent, open-ended position in the engineering organization for Robert Bosch Robotics GmbH.
Hiring process
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.
Benefits
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)
+49 174 1744961
Need further information about the job?
Jan Schneider-Kraus (Functional Department)
+49 172 9749480
Work #LikeABosch starts here: Apply now!