Vinci4D.ai
Member of Technical Staff - Extreme-Scale Sparse Linear Algebra, Domain Decomposition & GPU Solver Architecture
Palo Alto HQ · Staff+ · Full-time
Sponsorship not specifiedDetected 147 days ago
AlgorithmsCommunication
About the role
- This means real solver constraints, not benchmarks.
- SHIPPING FOCUS This is an execution-oriented principal engineering role in a startup with real production deployment.
Responsibilities
- Implement and ship into Tier-1 environments
- Build continuous validation and regression frameworks
Requirements
- You bring deep expertise in:
- Already proven at scale with real validation across Tier-1 ecosystem participants.
- A small, technically serious team with deep domain expertise.
Skills
- Conditioning and convergence at extreme scale
- Domain decomposition and Schwarz theory at production scale
- Robust, multilevel and multigrid, preconditioning
- Communication-avoiding Krylov and hierarchical solvers
- Deterministic parallel reductions across GPU clusters
- AI-accelerated solver components grounded in numerical rigor
- Additive and multiplicative Schwarz frameworks
- Overlapping and non-overlapping strategies
- Scalable coarse space construction
- Hybrid coarse/fine hierarchies for production meshes
- Algebraic and geometric multigrid
- Block/physics-aware preconditioners
Benefits
- High ownership, equity participation
Company info
- Trillion-DOF problems are architectural - not just hardware -
- Deterministic, robust solver substrates are the heart of future physics infrastructure
- AI should augment numerical authority, not override it
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