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NV
NVIDIA
8d ago

Foundation Model Engineer - New College Graduate 2026(m/w/x)

München
Full-timeOn-siteExperienced
AI/ML
Data Science

Description

You will drive the future of Physical AI by developing and optimizing foundation models, from scaling data tools to deploying high-performance production models within a dynamic team.

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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

Education

Master's degree
OR
Doctoral / PhD

Work Experience

approx. 1 - 4 years

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

Tools & Technologies

VGGTDepthAnythingV3SAMCLIPLLAMAPythonPytorchsource controltesting/validationcontainerizationGPUCUDA

Languages

English – Business Fluent

Benefits

Competitive Pay

  • •Highly competitive salaries

Other Benefits

  • •Comprehensive benefits package
  • •Reasonable accommodation for disabilities
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