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Foundation Model Engineer - New College Graduate 2026(m/w/x)
Developing and deploying ML models for segmentation, video understanding, and 3D reconstruction at a developer of AI/VR/AV solutions. MS or PhD in Computer Science or related field required. Structured entry for new college graduates.
Requirements
- MS or PhD in Computer Science, Engineering, or related field
- Knowledge of latest research in graphics, vision, or ML
- Technical knowledge in training and optimizing models
- Projects developed in Python and Pytorch
- Strong software engineering fundamentals
- Excellent communication and interpersonal skills
- Strong coding architecture skills
- Experience with performance analysis and GPU optimization
- Advanced CUDA development and optimization experience
- History of multidisciplinary creativity and innovation
- Experience in robotic systems
Tasks
- Partner with researchers to prototype advanced models
- Develop models for segmentation and video understanding
- Create prototypes for tracking and 3D reconstruction
- Fine-tune and quantize machine learning models
- Deploy machine learning models for production
- Craft tools for large-scale data handling and training
- Build tools for model deployment at scale
- Optimize training and evaluation processes for efficiency
- Collaborate within a large, dynamic codebase
- Work with modern data and ML languages
- Coordinate with research and model development teams
- Liaise with performance and product teams
- Contribute to NuRec and other core libraries
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- VGGT
- DepthAnythingV3
- SAM
- CLIP
- LLAMA
- Python
- Pytorch
- source control
- testing/validation
- containerization
- GPU
- CUDA
Benefits
Competitive Pay
- Highly competitive salaries
Other Benefits
- Comprehensive benefits package
- Reasonable accommodation for disabilities
Not a perfect match?
- DE01 NVIDIA GermanyFull-timeOn-siteExperiencedMünchen
- NVIDIA
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Foundation Model Engineer - New College Graduate 2026(m/w/x)
Developing and deploying ML models for segmentation, video understanding, and 3D reconstruction at a developer of AI/VR/AV solutions. MS or PhD in Computer Science or related field required. Structured entry for new college graduates.
Requirements
- MS or PhD in Computer Science, Engineering, or related field
- Knowledge of latest research in graphics, vision, or ML
- Technical knowledge in training and optimizing models
- Projects developed in Python and Pytorch
- Strong software engineering fundamentals
- Excellent communication and interpersonal skills
- Strong coding architecture skills
- Experience with performance analysis and GPU optimization
- Advanced CUDA development and optimization experience
- History of multidisciplinary creativity and innovation
- Experience in robotic systems
Tasks
- Partner with researchers to prototype advanced models
- Develop models for segmentation and video understanding
- Create prototypes for tracking and 3D reconstruction
- Fine-tune and quantize machine learning models
- Deploy machine learning models for production
- Craft tools for large-scale data handling and training
- Build tools for model deployment at scale
- Optimize training and evaluation processes for efficiency
- Collaborate within a large, dynamic codebase
- Work with modern data and ML languages
- Coordinate with research and model development teams
- Liaise with performance and product teams
- Contribute to NuRec and other core libraries
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- VGGT
- DepthAnythingV3
- SAM
- CLIP
- LLAMA
- Python
- Pytorch
- source control
- testing/validation
- containerization
- GPU
- CUDA
Benefits
Competitive Pay
- Highly competitive salaries
Other Benefits
- Comprehensive benefits package
- Reasonable accommodation for disabilities
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
Not a perfect match?
- DE01 NVIDIA Germany
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