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Neural Concept

3D deep-learning CAD-CAE design optimization

Vice President of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLausanne, SwitzerlandNo salary listedHybrid

About the Job

Requirements

  • Experience scaling software engineering teams by at least 2x and to 50+ engineers.
  • Experience managing managers and tech leads.
  • A track record of managing delivery in fast-growing, low-process environments.
  • Broad understanding of modern software architecture, infrastructure, and security.
  • Deep understanding of modern AI technology for software engineering.
  • Ability to engage deeply with engineers on design, trade-offs, and reliability.
  • Comfort operating in AI- and data-intensive product environments.
  • Ability to balance speed, quality, and long-term sustainability.
  • High empathy and strong communication skills.
  • Commitment to growing others and building healthy teams.
  • Willingness to take responsibility and make hard calls.
  • A track record of inspiring others and building confidence in high-uncertainty environments.

Responsibilities

  • Ensure predictable, high-quality delivery across product and platform initiatives.
  • Translate product and technical strategy into realistic plans, milestones, and commitments.
  • Identify risks early and manage trade-offs transparently.
  • Evolve team structures, ownership boundaries, and collaboration models as the organization scales.
  • Build and coach engineering managers and tech leads.
  • Continuously adapt the organization to match company growth.
  • Establish lightweight, effective development processes that scale without bureaucracy.
  • Leverage AI technologies to amplify impact while maintaining small, agile teams.
  • Define and track appropriate engineering metrics.
  • Partner with the CTO to uphold architectural principles and long-term technical health.
  • Drive pragmatic approaches to technical debt, quality testing, and operational excellence.
  • Collaborate with go-to-market and deployment teams to ensure smooth, secure deployments across diverse customer scaling scenarios.
  • Work with Product, Research, Deployment, and Leadership.
  • Represent engineering in cross-functional and customer-facing discussions.
  • Act as a key partner to the CTO, providing clear signals on execution, risk, and organizational health.

About the Company

Neural Concept

3D deep-learning CAD-CAE design optimization

Neural Concept uses 3D deep-learning to improve product design in automotive and aerospace. Its product, Neural Concept Shape (NCS), analyzes designs directly within CAD to provide physics-based insights, guiding designers without the need for meshing and lengthy simulations. This speeds up the design workflow by bridging CAD and CAE teams, reducing iteration time and late-stage failures. The company licenses its technology to clients, integrating into existing design processes, and has partnered with OEMs and Tier 1 suppliers such as Danfoss and Mitsubishi Chemical Group to boost performance and efficiency. Its goal is to help customers cut design lead times by substantial margins (claimed over 90%) and deliver better-performing products faster.

Company size
51-200
Company stage
Series C
Total funding
$137.8M
Headquarters
Lausanne, Switzerland
Founded
2018

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