Research Engineer - Vision Language Action Models for Intelligent Cyber Physical Systems (f/m/div.)

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!

Employment type: Unlimited Working hours: Full-Time Joblocation: Renningen As a Research Engineer, you will develop cutting-edge vision language action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments. Furthermore, you will connect multimodal representation learning with long-term control and planning to create agents that go beyond reactive capabilities and exhibit cognitive intelligence. You will contribute to fundamental and applied research on novel VLA models and drive their advancement. Building a scalable infrastructure for experimentation, training, and deployment, including the development of pipelines, simulation tools, and evaluation methods will be part of your task. You will make VLA methods usable for concrete Bosch applications in practice and their superior flexibility and generalization capabilities. Last but not least, you will work closely with interdisciplinary teams of researchers and application experts to shape the early innovation phase and the long-term strategy for intelligent automation at Bosch.

Education: excellent MSc in Computer Science, Machine Learning, Robotics or related technical fields PhD in Multimodal AI, Robotics, Reinforcement Learning, or Generative AI preferred demonstrated academic excellence, with a strong publication record in leading AI and robotics conferences and journals (NeurIPS, ICLR, ICML, CVPR, CoRL, RSS, ICRA, ACL, EMNLP, etc.)

Experience and Knowledge: Industrial SW development experience:Demonstrated industry-relevant practical AI experience, e.g. by code contributions in industrial AI applications, in large scale machine learning projects, or participation in large-scale AI benchmarks and contests Multiple years of experience in developing and deploying machine learning solutions in distributed SW development teams Demonstrated capability to go beyond research prototypes and integrate cuttingedge AI methods into practically relevant and usable SW solutions

Multimodal AI & Vision-Language Models:Proficiency in designing and training vision-language models (VLMs) and language-multimodal models (LMMs) (e.g., Flamingo, GPT-4V, PaLM-E, RT-2) Hands-on experience with visual grounding, cross-modal attention, and instruction-following architectures Familiarity with benchmarks search as ALFRED, Ego4D, VLN, or datasets involving perception and action

Control, Reinforcement Learning & Planning:Strong experience in learning, imitation learning, or model-based control for agents operating in real or simulated environments Capability in designing agents for long-horizon planning, semantic task decomposition, and hierarchical control Knowledge of methods that combine perception, language, and action in task-driven settings

AI for Cyber-Physical Systems & Automation:Demonstrated capability to integrate cutting-edge AI methods into practical applications in robotics, automated driving, industrial automation, or building systems interest in emerging domains search as smart heating and HVAC control, where semantic AI can optimize control strategies Focus on building robust, explainable, and semantically grounded agents for physical deployment

Infrastructure, Simulation & Tooling:Proficient in Python and deep learning libraries search as PyTorch, TensorFlow, or JAX Experience with simulation platforms such as Isaac Sim, CARLA, MuJoCo, or Habitat Skilled in developing scalables pipeline using Docker, CI/CD, and multi-GPU/cloud infrastructure Proven ability to drive research projects and turning research into practical innovation Collaborative and interdisciplinary mindset, ab to work across research and product teams at Bosch

Personality and Working Practice: you have proven ability to drive research projects and turning research into practical innovation; collaborative and interdisciplinary mindset, you are able to work across research and product teams at Bosch Languages: fluent English, German is optional

Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan. .