Senior Vehicle AI Solutions Owner — Hybrid (40% Remote)

Neural Concept; Vaud; Hybrid; CHF 100.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Hybrid working model (40% remote)

Professional development opportunities

Collaborative, multicultural environment

Global impact work

Zusammenfassung

Neural Concept is looking for a Senior Vehicle Solution Owner to lead the development of innovative automotive solutions. You will utilize your decade of experience in automotive engineering to partner with leading OEMs, shaping how vehicles are engineered with AI.

The role involves defining the Vehicle Body solution, collaborating with cross-functional teams, and enabling go-to-market strategies. Candidates should have a strong background in vehicle engineering, excellent customer discovery skills, and be familiar with tools like CATIA and machine learning processes.

Qualifikationen

• 10+ years of experience in the automotive industry designing vehicles.
• Proven track record of owning vehicle engineering decisions across the development cycle.
• Experience influencing relationships with senior engineering stakeholders at OEMs.

Aufgaben

• Define and deliver competitive solutions for automotive vehicle engineering on Neural Concept platform.
• Lead discovery interviews with OEM and Tier-1 customers.
• Collaborate with CAD/CAE/ML engineers from prototype to production-ready solution.
• Equip Sales and Marketing with necessary domain knowledge and materials.
• Represent Neural Concept in strategic discussions and monitor key customer projects.

Kenntnisse

Automotive industry design

CAD tools (CATIA / NX)

Simulation tools (LS-DYNA, Abaqus)

Machine learning processes

Tools

Teamcenter / 3DEXPERIENCE

OpenFOAM

Jobbeschreibung

Neural Concept is looking for a Senior Vehicle Solution Owner to lead the development of innovative automotive solutions. You will utilize your decade of experience in automotive engineering to partner with leading OEMs, shaping how vehicles are engineered with AI.

The role involves defining the Vehicle Body solution, collaborating with cross-functional teams, and enabling go-to-market strategies. Candidates should have a strong background in vehicle engineering, excellent customer discovery skills, and be familiar with tools like CATIA and machine learning processes.