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Founding Engineer 3D Computer Vision & AI(m/w/x)
Building Spatial AI robotic systems through 3D vision and large language model integration. Strong software engineering and deep learning experience required. Above-average equity compensation, 31 days paid leave.
Requirements
- Strong general software engineering skills
- Theoretical and practical experience with deep learning
- Theoretical and practical experience with 3D computer vision
- Quick learning and grit
Tasks
- Develop and train new network architectures
- Optimize network deployment on Nvidia Jetsons
- Build the data engine using local and cloud compute
- Combine existing LLMs with 3D computer vision to enhance SpatialGPT
- Fine-tune LLMs for improved performance on 3D-related tasks
- Integrate networks into real-time systems on drones
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Competitive Pay
- Above-average equity compensation
More Vacation Days
- 31 days of paid leave
Team Events
- Team activities
Healthcare & Fitness
- Access to comprehensive fitness program
Not a perfect match?
- HelsingFull-timeOn-siteSeniorMünchen, Berlin
- DE01 NVIDIA Germany
Research Engineer Neural Reconstruction - New College Graduate(m/w/x)
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Research Scientist, 3D Computer Vision(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Huawei Research Center Germany & Austria
Spatial AI Research Engineer/Scientist(m/w/x)
Full-timeOn-siteExperiencedMünchen - Agile Robots
Robotics Vision & Perception Engineer(m/w/x)
Full-timeOn-siteExperiencedMünchen
Founding Engineer 3D Computer Vision & AI(m/w/x)
Building Spatial AI robotic systems through 3D vision and large language model integration. Strong software engineering and deep learning experience required. Above-average equity compensation, 31 days paid leave.
Requirements
- Strong general software engineering skills
- Theoretical and practical experience with deep learning
- Theoretical and practical experience with 3D computer vision
- Quick learning and grit
Tasks
- Develop and train new network architectures
- Optimize network deployment on Nvidia Jetsons
- Build the data engine using local and cloud compute
- Combine existing LLMs with 3D computer vision to enhance SpatialGPT
- Fine-tune LLMs for improved performance on 3D-related tasks
- Integrate networks into real-time systems on drones
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Competitive Pay
- Above-average equity compensation
More Vacation Days
- 31 days of paid leave
Team Events
- Team activities
Healthcare & Fitness
- Access to comprehensive fitness program
About the Company
SE3 Labs
Industry
IT
Description
The company is building Spatial AI by combining 3D computer vision with large language models to create high-performance robotic systems.
Not a perfect match?
- Helsing
AI Research Engineer - 3D Computer Vision(m/w/x)
Full-timeOn-siteSeniorMünchen, Berlin - DE01 NVIDIA Germany
Research Engineer Neural Reconstruction - New College Graduate(m/w/x)
Full-timeOn-siteExperiencedMünchen - NVIDIA
Research Scientist, 3D Computer Vision(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Huawei Research Center Germany & Austria
Spatial AI Research Engineer/Scientist(m/w/x)
Full-timeOn-siteExperiencedMünchen - Agile Robots
Robotics Vision & Perception Engineer(m/w/x)
Full-timeOn-siteExperiencedMünchen