Full-Time

Principal Thermal-Mechanical Engineer

Vinci4d

Vinci4d

11-50 employees

Physics-driven AI for hardware design simulations

No salary listed

Munich, Germany

Hybrid

Hybrid arrangement; remote work possible but on-site several days/week in Munich; travel mainly within Europe.

Category
Mechanical Engineering (2)
,
Requirements
  • Degree in Mechanical, Electrical, or related engineering field.
  • Fifteen or more years of hands-on thermal management, mechanical warpage, stress and reliability using commercial software such as Flow Therm, Cadence, Ansys, Abaqus, LS-Dyna, etc.
  • Strong communication and interpersonal skills.
  • Prior managerial or leadership experience.
  • Prior 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 and business).
Responsibilities
  • Build, lead, and scale a high-performing team of thermal and thermo-mechanical engineers, setting technical direction, mentoring team members, and driving execution.
  • 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.
Desired Qualifications
  • Familiarity with semiconductor electronics packaging, advanced packaging or foundry (chip warpage, wafer warpage, 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 Electronic Design Automation or simulation tools—into semiconductor and electronics companies

Vinci4D provides a physics-driven AI platform to accelerate hardware design and semiconductor simulations by delivering thousand-fold faster, verified results without meshing. Its agentic system blends physics with AI to ensure accuracy and prevent hallucinations, and it runs behind client firewalls with production-ready software that does not require training on customer data. The platform can ingest industry-layout files like OASIS/GDS and resolve nanometer-scale features, enabling engineers to run thousands of simulations to guide design decisions. The goal is to speed up hardware design and improve reliability—especially for electronics thermal management—by delivering simulation software that integrates into engineering teams' workflows and production environments.

Company Size

11-50

Company Stage

Series A

Total Funding

$36.5M

Headquarters

Menlo Park, California

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • $46M funding from Xora Innovation and Eclipse supports rapid scaling in 2025.
  • Deployed at three leading semiconductor manufacturers with top-20 validations.
  • Team led by Hardik Kabaria and Sarah Osentoski expands to multi-physics soon.

What critics are saying

  • Ansys integrates Flowthermic AI thermal sim into Discovery, eroding differentiation by September 2026.
  • NVIDIA CUDA-Q undercuts Vinci speed at partners by April 2027.
  • Three manufacturers retain Synopsys Sentaurus due to lock-in, starving ARR by July 2026.

What makes Vinci4d unique

  • Vinci eliminates meshing using physics-driven AI for 1000x faster simulations.
  • Vinci achieves 2nm resolution on GDS/OASIS files without customer data training.
  • Vinci guarantees accuracy by verifying predictions against physics fundamentals.

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Business Wire
Feb 24th, 2026
Vinci launches AI-powered thermo-mechanical simulation 1,000x faster than traditional tools

Vinci has launched production-grade thermo-mechanical simulation capability that predicts warpage in hardware designs, built on what it calls the world's first foundation model for physics. The system analyses how hardware bends, twists and deforms under thermal conditions, working directly from full-resolution designs without manual setup. The Palo Alto-based company's platform delivers simulations up to 1,000 times faster than traditional tools whilst maintaining solver-grade accuracy. In production benchmarks, Vinci completed full thermo-mechanical analysis on manufacturing-resolution models in approximately 30 minutes, handling boards up to 100 × 100 centimetres with features down to 20 microns. The pre-trained model runs securely behind customer firewalls without requiring proprietary data training. Over ten semiconductor companies have independently verified Vinci's results against existing finite element analysis solvers and experimental data.

FinSMEs
Dec 3rd, 2025
Vinci Announces $46M in Total Funding

Vinci announces $46M in total funding. Vinci, a Palo Alto, CA-based developer of Physics-Driven AI for hardware design and simulation, emerged from stealth with $46M in total funding. Its Series A round was led by Xora Innovation while its Seed round was led by Eclipse. Founded by Hardik Kabaria and by Sarah Osentoski, Vinci has launched a physics-driven AI system that operates like a team of hardware engineers, running thousands of verified simulations in hours. Vinci's agentic system combines proven physics methods with an AI model to deliver fast simulations. The system is already deployed, powering next-generation design programs at three leading semiconductor manufacturers. Pre-trained and production-ready, it operates securely behind customer firewalls, requires no training on proprietary data and delivers verified results immediately upon deployment.

MarketScreener
Dec 2nd, 2025
Software firm Vinci, which speeds up hardware simulation, raises $36 million

Startup Vinci said on Tuesday it has raised $36 million to finance its business of building software that can speed chip and other hardware design by significantly accelerating the simulation of such...

K5 Global
May 31st, 2024
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