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Salary
$140k – $200k per year
Location
Remote/Hybrid (Palo Alto, United States)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
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About Us

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.

Role Overview

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.

Responsibilities

  • Engage with customer engineering teams during the evaluation phase by supporting simulation setup, running test cases, and interpreting results to demonstrate Vinci’s value.

  • Collaborate with the sales team to deliver product demonstrations, conduct proof-of-concept evaluations, and participate in in-depth technical discussions with prospective customers.

  • Support customer onboarding and deployments by providing technical guidance, training, and troubleshooting throughout the deployment and production phases.

  • Identify customer pain points and workflow challenges, and collaborate with the product and engineering teams to improve product capabilities and overall customer experience.

  • Deliver technical training sessions and workshops to enable customer teams to effectively adopt and scale Vinci within their engineering workflows.

  • Represent Vinci at industry conferences and semiconductor events by delivering live product demonstrations, managing booth activities, and engaging technically with prospective customers and partners.

  • Maintain a strong understanding of competitive technologies, industry trends, and market positioning to effectively communicate Vinci’s differentiators.

Required Qualifications

  • Degree in Mechanical, Electrical, or related engineering field

  • 3+ years of hands-on electronics thermal engineering or simulation experience (CFD/FEA, Ansys ICEPAK, Siemens FLOTHERM, Cadence Celsius, etc.)

  • Experience in Customer-facing roles

  • Strong problem-solving mindset and ability to quickly learn new tools and workflows

  • Strong ability to communicate complex results clearly to a mixed audience (technical + business)

Preferred Qualifications

  • Familiarity with semiconductor electronics packaging and advanced cooling (cold plates, vapor chambers, 2.5D/3D IC, etc.)

  • Experience in pre-sales, technical sales, or customer-facing engineering roles

  • Ability to rapidly learn and adapt to new physics-based workflows and AI-assisted design tools

  • Experience with commercializing technical software-ideally EDA or simulation tools-into semiconductor and electronics companies

Why Join Us

  • Be part of a team defining the future of AI in hardware design.

  • Work at the intersection of advanced AI, real-world engineering, and customer success.

  • Collaborate with world-class engineers and researchers in a fast-moving startup environment.

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