We are building Physics AI for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting-edge AI with the realities of engineering design workflows.
As part of the Forward Deployment Sales team, you will play a key role in accelerating the adoption of Vinci’s software with leading engineering teams. You will work closely with prospective customers to demonstrate Vinci’s capabilities and show how the platform can significantly improve product design, thermal performance, time to market and reliability.
In this role, you will build and simulate thermal models based on customer designs to validate Vinci’s software and showcase its value in real-world applications. You will leverage your expertise in thermal analysis and CFD to analyze steady-state and transient thermal behavior, particularly in areas such as electronics cooling, thermal management, and product reliability.
You will collaborate directly with customer engineering teams to understand their requirements, answer technical questions, and clearly communicate Vinci’s product capabilities. Your insights from customer engagements will also help guide product development by identifying key needs and opportunities for improvement.
This is a hybrid role, with the expectation of working 3 days per week in our Palo Alto office for close collaboration with Sales, Product, and Engineering. The role includes moderate travel, primarily within the United States. Some infrequent international travel may be required for key customers and events in Asia and Europe.
Vinci is a frontier lab building the foundation model for the physical world. The company is developing deterministic, solver-grounded systems that make physics continuously computable, shifting engineering from episodic simulation to continuous physics infrastructure. Already deployed inside production engineering workflows and running on flagship programs, Vinci operates directly on native design and manufacturing geometry to enable high-fidelity physics reasoning without the traditional burden of manual setup, meshing, and specialist-only access. Rather than functioning as a faster point tool, Vinci changes the operating model of engineering by making physics more available, more repeatable, and more actionable across the organization. Its systems support design, verification, manufacturing, and reliability decisions, helping teams evaluate more scenarios, surface physical risk earlier, and improve engineering leverage without scaling specialist simulation teams linearly. Vinci’s broader aim is to make physics a shared reasoning layer for designing, building, and operating the physical world.
