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Research Engineer/Scientist - Spatial AI(m/w/x)
Developing Spatial AI models for generative mapping, robotic navigation, and intelligent agents at global ICT solutions provider. Experience with spatial cognition agents, world models, or LLM integration essential. Healthy canteen meals, German and Mandarin courses.
Requirements
- M.S. or Ph.D. in Computer Science, AI, Robotics, Electrical Engineering, or related field
- Experience with spatial cognition agents, world models, or LLM integration
- Theoretical and practical experience with deep learning frameworks
- Foundation in linear algebra, probability, and multi-view geometry
- Experience with Unity, Unreal Engine, Isaac Sim, or Habitat
- Fluency in written and spoken English
Tasks
- Design and implement novel Spatial AI models
- Develop algorithms for generative mapping and active perception
- Create spatial memory and cognition modules
- Integrate spatial reasoning into intelligent agents
- Enable robotic navigation and object manipulation
- Plan complex tasks within dynamic environments
- Write efficient Python and C++ or Rust code
- Develop software for robotics operating systems
- Process large point cloud and 3D mesh datasets
- Analyze sensor fusion data
- Test algorithms using Habitat and Isaac simulators
- Collaborate with cross-functional engineering teams
- Transition research prototypes into production systems
- Contribute to technical reports and patent filings
- Publish research findings in academic venues
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Large Language Models (LLMs)
- Deep learning frameworks
- Unity
- Unreal Engine
- Isaac Sim
- Habitat
Benefits
Learning & Development
- Global knowledge exchange network
- Broad training opportunities
- German and Mandarin courses
Free or Subsidized Food
- Healthy canteen meals
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
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Research Engineer/Scientist - Spatial AI(m/w/x)
Developing Spatial AI models for generative mapping, robotic navigation, and intelligent agents at global ICT solutions provider. Experience with spatial cognition agents, world models, or LLM integration essential. Healthy canteen meals, German and Mandarin courses.
Requirements
- M.S. or Ph.D. in Computer Science, AI, Robotics, Electrical Engineering, or related field
- Experience with spatial cognition agents, world models, or LLM integration
- Theoretical and practical experience with deep learning frameworks
- Foundation in linear algebra, probability, and multi-view geometry
- Experience with Unity, Unreal Engine, Isaac Sim, or Habitat
- Fluency in written and spoken English
Tasks
- Design and implement novel Spatial AI models
- Develop algorithms for generative mapping and active perception
- Create spatial memory and cognition modules
- Integrate spatial reasoning into intelligent agents
- Enable robotic navigation and object manipulation
- Plan complex tasks within dynamic environments
- Write efficient Python and C++ or Rust code
- Develop software for robotics operating systems
- Process large point cloud and 3D mesh datasets
- Analyze sensor fusion data
- Test algorithms using Habitat and Isaac simulators
- Collaborate with cross-functional engineering teams
- Transition research prototypes into production systems
- Contribute to technical reports and patent filings
- Publish research findings in academic venues
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Large Language Models (LLMs)
- Deep learning frameworks
- Unity
- Unreal Engine
- Isaac Sim
- Habitat
Benefits
Learning & Development
- Global knowledge exchange network
- Broad training opportunities
- German and Mandarin courses
Free or Subsidized Food
- Healthy canteen meals
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
About the Company
Huawei Research Center Germany & Austria
Industry
IT
Description
Huawei is a leading global ICT solutions provider with end-to-end solutions in Telecom, enterprise networks, Devices, and Cloud. They serve over one-third of the world's population.
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