Relational Foundation Model Engineer, Modern Data Stack

NVIDIA
Munich, Germany
Workplace: HybridFull timeFunction: Healthcare (Clinical, Medical, Wellness)Experience: 8+ yearsEducation: mastersSkills: ["Collaboration","Creativity","Autonomy"]

Design and experiment with novel Transformer and GNN architectures for a unified relational foundation model that understands relationships in any relational database or heterogeneous graph. Collaborate across the ML lifecycle—from architecture exploration and large-scale training to post-training optimization and inference acceleration—supporting production use cases like forecasting, entity matching, fraud detection, and predictive maintenance.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Relational Foundation Model Engineer, Modern Data Stack

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design and experiment with novel Transformer and GNN architectures for a unified relational foundation model that understands relationships in any relational database or heterogeneous graph. Collaborate across the ML lifecycle—from architecture exploration and large-scale training to post-training optimization and inference acceleration—supporting production use cases like forecasting, entity matching, fraud detection, and predictive maintenance.
Location: Munich, Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Mid level

Key Responsibilities

  • •Collaborate with researchers and engineers to enhance Transformer and GNN-based models for any relational schema and heterogeneous graph.
  • •Build and apply the foundation model to use cases like forecasting, entity matching, customer retention, and fraud detection.
  • •Use ML/AI expertise to develop scalable and adaptable solutions that advance what’s possible.
  • •Work across the full ML lifecycle, from architecture design and training to post-training optimization and inference acceleration.
  • •Contribute to the next generation of the Relational Foundation Model.

Key Requirements

  • •MS or PhD in Machine Learning or Computer Science (or equivalent).
  • •Proficiency in Python and deep learning frameworks such as PyTorch.
  • •At least 8 years of research experience designing ML algorithm solutions.
  • •Practical experience applying predictive models in real-world applications.
  • •Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, or ICML (or similar).
Experience:8+ yearsMachine learningAIDeep learning
Education:Master's in Machine Learning or Computer Science
Skills:CollaborationCreativityAutonomy
Tech Stack:PythonPyTorchTransformerGNN

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor