Senior Automotive Vehicle Solution Owner - Switzerland

Senior Automotive Vehicle Solution Owner - Switzerland

Full-Time 81000 - 99000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the development of innovative vehicle solutions using AI technologies.
  • Company: Join a cutting-edge tech firm transforming automotive engineering.
  • Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
  • Other info: Collaborative culture focused on innovation and diversity.
  • Why this job: Shape the future of vehicle design at an industry scale with AI.
  • Qualifications: 10+ years in automotive engineering with strong leadership skills.

The predicted salary is between 81000 - 99000 £ per year.

About The Role

Neural Concept’s Vertical Solutions team turns the most critical engineering use cases into streamlined, production-grade workflows empowered by leading AI technologies. As Senior Vehicle Solution Owner, you will use a decade of automotive engineering experience to lead one of the most strategically important parts of our automotive offering. You will define the Vehicle Body solution — built on top of the Neural Concept platform — combining design, simulation and data-science/ML to compress development cycles across the full breadth of vehicle attributes. You will partner directly with leading OEMs to understand their needs and translate them into solution direction and product strategy. If you have spent your career as a chief engineer, attribute lead or technical specialist designing cars, this is a unique chance to step out of a single program and shape, at industry scale, how vehicles are engineered with AI.

What You Will Do

  • Own the Vehicle solution end to end.
  • Define and deliver competitive, replicable solutions for automotive vehicle engineering on the Neural Concept platform, spanning the full breadth of body attributes.
  • Partner with lead customers.
  • Lead discovery interviews with OEM and Tier-1 customers, build trusted strategic relationships, validate solutions against real-world requirements, and expand product scope to cover a larger part of the design process.
  • Work hands-on with ML engineers and scientists.
  • Collaborate closely with a cross-functional team of CAD/CAE/ML engineers — from prototype to production-ready solution — to advance what is possible in engineering design with AI.
  • Enable go-to-market teams.
  • Equip Sales, Solution Engineering, and Marketing with the domain knowledge, value proposition, and materials they need to position the Vehicle solution credibly with senior automotive stakeholders.
  • Support strategic customers and partners.
  • Represent Neural Concept in high-level technical and strategic discussions, monitor key customer projects within the vertical to ensure alignment and value delivery, and align vertical initiatives with overall company strategy.

Experience

Who you are

  • 10+ years in the automotive industry designing vehicles, in a role such as chief engineer, attribute lead, or technical lead focused on key performance attributes (e.g. aerodynamics, crash/structural safety, thermal).
  • Proven track record of owning vehicle engineering decisions across the full development cycle: requirements, concept, modeling and simulation, validation, testing, and release.
  • Experience building and influencing relationships with senior engineering stakeholders at OEMs.

Hard Skills

  • Hands-on understanding of CAD, PLM, simulation (CAE), physical and virtual testing, and design for manufacturing.
  • Fluent in the workflows and tools automotive body engineers use — for example CATIA / NX and Teamcenter / 3DEXPERIENCE (CAD/PLM); LS-DYNA, Pam-Crash, Radioss, Abaqus, Nastran (crash/structural); StarCCM+, OpenFOAM, PowerFLOW (aero/thermal).
  • Comfortable working with data-driven engineering approaches.

Mindset

  • Pragmatic problem solver — focused on impact, not buzzwords; willing to look at engineering from a new angle and challenge established ways of working.
  • Strong customer discovery skills and empathy, with the credibility to engage senior automotive leaders.
  • Strategic thinker who can move fluidly between long‑term direction and hands‑on, cross‑functional delivery.

Nice to have

  • Hands‑on experience with Python, AI tools, and ML/data‑science processes.
  • Exposure to applying machine learning or surrogate modeling to engineering design.

What You Get

  • Work with a world‑class technology team — our engineers are top‑notch, and we always aim for excellence.
  • Benefit from a competitive salary and rewarding opportunities as we continue to scale.
  • Thrive in a collaborative, multicultural environment where your work is visible and recognized.
  • Develop professionally alongside talented colleagues who share knowledge freely and support one another.
  • Make a global impact by helping customers shift to AI‑assisted design, making innovation faster, smarter, and more sustainable.
  • Balance life and work with a hybrid model (40% remote) and flexible hours — we care about results, not rigid schedules.
  • We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Senior Automotive Vehicle Solution Owner - Switzerland employer: Neural Concept

Neural Concept is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and engineering. With a strong focus on employee growth, you will have the opportunity to engage with leading firms while enjoying the flexibility of a hybrid role across vibrant locations like London and Cambridge. Our commitment to strategic development and collaboration ensures that you will be part of a forward-thinking team dedicated to shaping the future of enterprise software sales.

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Contact Details:

Neural Concept Recruitment Team

We think you need these skills to ace Senior Automotive Vehicle Solution Owner - Switzerland

Automotive Engineering
Vehicle Design
CAD Software (e.g. CATIA, NX)
PLM Tools (e.g. Teamcenter, 3DEXPERIENCE)
Simulation Software (e.g. LS-DYNA, Abaqus)
Data-Driven Engineering Approaches
Machine Learning