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This position was posted on April 22, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Neural Concept SA logo

Solutions Engineer

Job Overview

Location

New York Metropolitan Area (Jersey City)

Job Type

Full-time

Category

Product

Date Posted

April 22, 2026

Full Job Description

đź“‹ Description

  • • As a Solutions Engineer at Neural Concept SA, you will serve as a trusted advisor bridging cutting-edge AI technology with real-world engineering challenges, helping industry leaders in automotive, aerospace, and energy adopt AI-assisted design to drive measurable innovation.
  • • Day to day, you will engage senior stakeholders (VP, C-level) to understand business challenges, design and deliver AI-powered solutions using NC’s platform, guide customers from proof-of-concept to full integration, and act as the bridge between customer needs and product evolution by feeding insights back to the development team.
  • • You will join Neural Concept’s Application Engineering team, a collaborative, multicultural group focused on translating complex customer challenges into high-value AI solutions, working closely with engineering, design, and executive teams across global industries.
  • • In this role, you will develop expertise in AI-driven engineering applications, strengthen your ability to translate business needs into technical solutions, gain influence with C-level stakeholders, and contribute directly to product innovation while building a career at the forefront of industrial AI adoption.

Skills & Technologies

Python
Hybrid
Degree Required

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Neural Concept SA logo
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About Neural Concept SA

Neural Concept SA provides cloud-native AI software that accelerates engineering simulations for automotive, aerospace and industrial-product teams. Its core product, Neural Concept Shape, learns from existing CAD and CAE data to predict aerodynamics, structural and thermal performance in seconds, replacing hours of traditional solving. The EPFL-spinoff’s 3D deep-learning models integrate into standard design workflows, enabling rapid shape optimization and lightweighting without expert CFD or FEA setup. Customers include Airbus, Bosch, Subaru and Formula 1 suppliers. Founded in 2018 and headquartered in Lausanne, Switzerland, the company serves global OEMs through subscription licenses and secure cloud deployments.

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