Location: Cambridge (UK) or Lausanne (Switzerland)
Neural Concept builds AI-powered solutions that help the world’s leading engineering teams design better products, faster. As Engineering Environment Owner, you’ll enable our teams to develop blueprint solutions across different CAD/CAE environments and create a strong foundation for testing and improving our agents. You’ll own a critical part of how we work and help our product succeed in the diverse engineering environments our customers rely on.
Own the internal engineering environment: CAD and CAE tools, licences and compute infrastructure.
Work with product engineers and vertical engineers to understand their needs and improve their CAD/CAE setup, from software and configuration to access and compute resources.
Stay hands-on: script, automate and troubleshoot to keep environments reproducible and catch issues before they disrupt teams.
Manage shared compute and licence resources, vendor relationships and spend.
Monitor usage and performance (utilization, wait times, cost per run) and share what you see with the teams.
A builder at heart, you enjoy turning engineering needs into useful tools and workflows. Your approach combines creativity and independence with a product mindset: choosing what to build or reuse, making it easy for teams to adopt, and owning its deployment, operation and improvement.
Experience at an OEM, Tier 1 supplier, or CAE or cloud provider, with practical insight into engineering workflows in sectors such as automotive, aerospace or electronics.
Hands-on CAE experience (CFD and/or FEA) and a practical understanding of high-performance computing (HPC) for simulation workloads.
Ability to design how CAD, PLM, CAE and compute fit together, drawing on domain experts for depth in individual tools.
A pragmatic approach to collaboration and problem-solving, keeping processes simple and removing barriers for others.
A world-class technology team that aims for excellence.
Competitive salary and rewarding opportunities as we scale.
A collaborative, multicultural environment where work is visible and recognized.
Professional growth alongside talented colleagues who share knowledge freely.
Global impact, helping customers shift to AI-assisted design.
Hybrid model (40% remote) and flexible hours.
Build and operate cloud infrastructure, developer platforms, and edge services while improving reliability, enabling safe software delivery, and supporting compute and GPU capacity across engineering teams.
Build and scale AWS infrastructure for a healthcare data platform, improving reliability, security, and cost efficiency while enabling engineering teams to deploy software and support production systems.
Operate and improve multi-cloud GPU and TPU Kubernetes fleets for model training and serving, focusing on reliability, performance, utilization, automated fault recovery, and hardware partnerships.
Design, administer, and secure client IT environments across Microsoft 365, Windows Server, Azure, virtualization, and networking, while owning infrastructure troubleshooting, migrations, and modernization projects.
Build and operate cloud, HPC, CI/CD, regression, and data infrastructure that supports custom silicon development, improving reliability and enabling hardware engineering teams to work faster.
