Vinci
Member of Technical Staff - Foundation Model Architecture & AI Infrastructure
$180K–$220K
Palo Alto HQ · Hybrid · Staff · Full-time · Posted Feb 24, 2026
About the job
Design and scale a production foundation model architecture and infrastructure for operator intelligence across industrial physics workloads.
What you'll do
- Evolve transformer and graph-transformer architectures for structured spatial domains and nonlinear operators.
- Scale distributed training and continuous learning, including data and curriculum strategies.
- Design trillion-voxel inference systems and deploy expanded capabilities at industrial scale.
What they ask for
- Deep experience in large-scale foundation model architecture, transformer variants, distributed training systems, and production ML system design.
- Experience scaling structured datasets and building AI systems that run in production.
- Strong software engineering fundamentals and ability to write clean, maintainable, high-quality code.
- Experience with modern ML stacks and strong CI, regression testing, and validation discipline.
Pay
$180K – $220K USD base salary
Tools
PyTorch
AI focus
Build and scale a unified foundation model across physical operators and industrial workloads, including architecture development, distributed training, and trillion-voxel inference.
Model-written summary · the original posting is authoritative