Vinci4d

You'll develop and optimize geometry and mesh generation algorithms for a next-generation hardware design copilot platform. Your work will directly enable **intelligent automation** of industrial-scale CAD workflows. This role sits at the intersection of **computational geometry** and high-performance computing, tackling complex geometry data processing.

You'll lead a team of thermal-mechanical engineers to drive adoption of **Physics AI for hardware design** in Asia Pacific. You'll engage customer engineering teams, set technical direction, and demonstrate how Vinci's platform **transforms product design and reliability**. This role offers a unique chance to shape product direction by translating customer insights into actionable inputs.

You'll **validate simulation systems** and build **runtime evaluation mechanisms** to ensure customers receive high-quality results from our physics simulation platform. Your work will **bridge ML and classical solvers** in a production environment serving Tier-1 semiconductor customers.

You'll design and implement low-latency, scalable solutions to **decompose and distribute production simulations** across multi-GPU machines, multi-node clusters, and networked nodes. Your north star will be parallelism and correctness, enabling simulations to run efficiently on any hardware—from a single desktop to **global data center clusters**. This role offers a rare chance to define a foundational abstraction layer at an early-stage startup.

You'll lead the design of **high-quality software libraries** for a **core physics simulation engine**, defining interfaces that correctly reflect the underlying physics. You'll drive **code health and testability** across the team, ensuring production systems scale gracefully and remain maintainable.

You'll apply **physics simulation expertise** to help build **operator intelligence infrastructure** for hardware programs. You'll expand Vinci's unified model architecture into the transient domain, working with a team of physicists and AI researchers. This is a rare early-stage opportunity to **define foundational abstractions** from research to production.

You'll lead a team of thermal-mechanical engineers to drive adoption of an AI-powered simulation platform for semiconductor design. You'll build and mentor the team, engage with customer engineering teams, and demonstrate platform value. This role combines deep simulation expertise with customer-facing leadership in a fast-growing AI startup.

You'll join a small team building **data pipelines and APIs** for an AI copilot that helps hardware engineers **simulate designs in seconds**. You'll own systems spanning data generation and product backend, working with ML researchers and engineers.

You'll design and build pipelines and tools for an AI assistant that accelerates hardware design. You'll develop key features, integrate LLM/VLM infrastructure, and set up MLOps frameworks. **Scalability** and **high-performance computing** are core to this role.

You'll architect the core solver substrate for **extreme-scale sparse linear algebra** and **domain decomposition** at a physics simulation startup. Your work will enable deterministic solutions for trillion-DOF problems in real hardware workflows, impacting Tier-1 semiconductor and energy clients. This role stands out for its focus on production-grade solver infrastructure rather than academic prototypes.

You'll engage with customer engineering teams to demonstrate Vinci's simulation software, running thermal models and interpreting results to show its value. You'll bridge the gap between **advanced AI** and **real-world hardware design**, working closely with sales and product teams. This hybrid role offers a chance to shape AI-driven engineering workflows.

You'll define and scale the core operator intelligence layer for a **foundation model** already deployed in production across Tier-1 hardware environments. You'll architect **transformer variants** and distributed training systems to expand from billion-voxel to trillion-voxel domains. This is an **opportunity for architectural ownership** at a high-growth Series A startup.

You'll join the Forward Deployment Sales team to accelerate adoption of AI-powered hardware design software. You'll build and simulate thermo-mechanical models for customer designs, demonstrating **real-world engineering value** and **driving product improvements** through customer insights. You'll collaborate with top engineering teams in a fast-moving startup environment.

You'll design and develop multi-physics CFD solvers for complex geometry applications. You'll work on GPU-accelerated simulation codes that will enable **mechanical engineers to iterate designs 1000x faster**. This role offers the chance to **build a co-pilot for hardware designers** backed by Khosla Ventures.

You'll build **Python/gRPC microservices** and **React frontends** for a physics simulation platform. You'll own features end-to-end, from UI to C++ integration, impacting how engineers solve complex physical systems.

You'll directly support customers using **our AI assistant for hardware design**, running and validating thermal test cases. You'll bridge customer needs with our product, ensuring actionable results. This role combines **hands-on thermal analysis** with customer training and feedback.