Job Overview
Location
Munich, Germany
Job Type
Full-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Lead, build, and scale a high-performing team of thermal and thermo-mechanical engineers focused on customer engagement and platform adoption across Europe.
- • Drive the technical evaluation of Vinci’s platform by supporting simulation setup, running test cases, and interpreting results for prospective customers in semiconductor, electronics packaging, and wafer-scale systems.
- • Collaborate directly with customer engineering teams to understand their thermal and mechanical design challenges, providing expert guidance on steady-state and transient thermal behavior, linear and nonlinear mechanics, geometric and material nonlinearities, and contact interactions.
- • Deliver product demonstrations, proof-of-concept evaluations, and technical workshops to showcase how Vinci’s AI-driven platform improves product design, thermal performance, reliability, and time-to-market.
- • Support customer onboarding and production deployments by offering ongoing technical training, troubleshooting, and workflow integration assistance.
- • Serve as a key feedback channel between customers and Vinci’s product and engineering teams, translating real-world use cases into actionable product improvements.
- • Represent Vinci at industry conferences and semiconductor events through live demonstrations, booth engagement, and technical networking with prospects and partners.
- • Maintain deep expertise in commercial simulation tools such as Flowtherm, Cadence, Ansys, Abaqus, and LS-DYNA to validate customer designs and benchmark platform performance.
- • Analyze critical reliability factors including thermal risk, warpage, stress evolution, and mechanical deformation across advanced semiconductor devices and packaging architectures.
- • Work closely with the Sales team to align technical engagements with business objectives and accelerate the sales cycle through technical credibility and customer trust.
- • Travel moderately within continental Europe and occasionally intercontinentally to collaborate with the Palo Alto, CA-based Sales, Product, and Engineering teams.
- • Be onsite several days per week in Munich to collaborate on joint programs with a world-leading research institute.
- • Stay current on competitive technologies, industry trends, and market positioning to effectively articulate Vinci’s unique value proposition in physics AI for hardware design.
- • Mentor junior engineers in thermal-mechanical simulation best practices, technical communication, and customer-facing engineering methodologies.
- • Develop and deliver technical training materials to enable customer teams to independently adopt and scale Vinci’s platform within their design workflows.
- • Apply scripting skills in Python or C++ to automate simulation workflows, analyze large datasets, and enhance platform usability for customer applications.
🎯 Requirements
- • Degree in Mechanical, Electrical, or related engineering field
- • 15+ years of hands-on experience with thermal management, mechanical warpage, stress, and reliability using commercial software such as Flowtherm, Cadence, Ansys, Abaqus, LS-DYNA, etc.
- • Scripting experience using Python or C++
- • Prior managerial or leadership experience
- • Prior experience in customer-facing roles
- • Strong communication and interpersonal skills
🏖️ Benefits
- • 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
- • Moderate travel within continental Europe and occasional intercontinental travel for collaboration
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Vinci4D Inc.
Vinci4D is a biotechnology company focused on developing novel therapeutics for challenging diseases. Leveraging advanced AI and machine learning, they aim to accelerate drug discovery and development by identifying new therapeutic targets and designing innovative drug candidates. Their platform integrates multi-omics data with proprietary algorithms to gain deeper insights into disease mechanisms. Vinci4D's approach seeks to overcome limitations in traditional drug development, offering a more efficient and effective pathway to bring life-saving treatments to patients. The company operates within the pharmaceutical and biotechnology sectors, contributing to the advancement of precision medicine.
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