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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
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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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