Vinci4D.ai
Member of Technical Staff - Foundation Model Architecture & AI Infrastructure
Palo Alto HQ · Staff+ · Full-time
Sponsorship not specifiedDetected 147 days ago
Distributed SystemsMachine LearningPyTorchNLPMLOpsDesign SystemsSystems EngineeringManual TestingResearchCommunication
About the role
- Our ambition is to become the default operator intelligence layer that hardware companies run on.
- THE OPERATOR FRONTIER Today, our unified model already operates across a subset of partial differential equations in real industrial environments.
- You will help define and scale the core operator intelligence layer.
Responsibilities
- Maintain production-grade stability and determinism
- Support global, multi-entity deployment
- Maintain robustness under diverse industrial workloads
- Production ML system design
Requirements
- Deep experience in:
- Experience with modern ML stacks (e.g., PyTorch and distributed training ecosystems)
- Comfort evolving core model infrastructure
Company info
- Trained on 45TB+ of structured physics data
- Running billion-voxel inference in production
- Deployed inside Tier-1 semiconductor and hardware environments
- Operating across multiple physical scales and operator regimes
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