Jobs at Neural Concept

Own end-to-end product lifecycle for a vertical engineering solution: run customer discovery, define and prioritize requirements, prototype with AI-assisted tools (including scripting), lead cross-functional CAD/CAE/ML engineering teams to production, and track adoption and value delivery to inform the global roadmap.

Lead the design and delivery of AI-driven engineering workflows. Collaborate with product managers, customers, and engineers to standardize components and drive adoption across platforms.

The ML Application Engineer will work with customers to apply machine and deep learning to engineering challenges, develop solutions using Python, and train customer teams in AI adoption.

Responsible for implementing test automation, achieving quality targets, maintaining QA roadmap, and improving bug resolution times while collaborating with teams.

The Senior Technical Account Manager drives customer success by creating success plans, managing existing accounts, delivering tailored demos, scoping and running projects, and collaborating cross-functionally to align customer objectives with internal strategies.

As EV Powertrain Solution Owner, you will lead the development of workflows integrating design, simulation, and data-driven engineering to enhance product development cycles and customer value.

Drive revenue and strategic partnerships by selling Neural Concept's AI-driven design and simulation platform to engineering-led enterprise customers in the UK and Europe. Leverage engineering background to engage technical stakeholders, identify new business, manage long sales cycles, close large enterprise deals, and strengthen customer relationships.

As an ML Application Engineer, you will help clients solve engineering challenges using ML and automation, develop solutions, train users, and drive AI adoption in workflows.

As VP of Engineering, you will lead a high-performing software engineering team, ensuring quality delivery, structuring the organization, establishing modern processes, and collaborating closely with leadership and clients.

Work with customers to integrate NC's AI into PLM, CAD, and simulation workflows. Build API- and script-based integrations, automate data exchange and job execution across cloud/HPC, and feed field experience back into the core product as product engineering work.

Provide high-level executive support to the CRO and manage day-to-day Munich office operations: calendar and travel management, meeting prep, event coordination, invoice and expense processing, vendor and facilities liaison, and administrative issue resolution.

As an ML Application Engineer, you'll run projects with customers in engineering, applying machine learning to optimize workflows and provide training.

As an ML Application Engineer, you will lead projects with customers, applying machine learning to engineering challenges and training customers on the platform.

Provide autonomous operational support to the CTO: manage complex international calendar, coordinate events and travel, process invoices and expenses, draft communications and briefs, liaise with internal teams and Finance, and proactively solve administrative bottlenecks to enable technology leadership.

The Application Engineer will collaborate with customers in the automotive, aerospace, and energy industries to solve engineering challenges through machine and deep learning, utilizing Python to process data and develop tailored workflows, while providing training and translating customer feedback into product improvements.

The role involves collaborating with customers to solve engineering challenges using machine learning, develop solutions, train teams, and improve products based on feedback.

As a Technical Account Manager, you will drive customer adoption of AI-driven simulation tools, engage with engineering teams, and support software implementation in design workflows.

Own full enterprise sales cycle for Engineering AI platform in Sweden, building territory strategy, generating pipeline, leading multi-stakeholder deals, creating business cases, negotiating contracts, and coordinating cross-functional teams to close and expand strategic accounts.

Drive pre-sales and account technical strategy for Neural Concept's Engineering AI platform: lead discovery, craft tailored demos, define technical roadmaps and SOWs, run steering committees, drive adoption and expansion, and collaborate with Sales, Forward Deployed Engineering, Product and R&D. Requires engineering credibility and fluency in Korean and English.

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.