HPC & CAE Environment Lead - Hybrid (40% Remote)

Neural Concept; Cambridge; Híbrido; GBP 100.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model (40% remote)

Competitive salary

Global impact

Descripción de la vacante

Neural Concept is seeking an Engineering Environment Owner to empower engineering teams by shaping CAD/CAE environments, licenses and compute infrastructure. You will own the internal stack and drive reproducible workflows across diverse engineering contexts, enabling faster AI-assisted design.

You'll stay hands-on with scripting and automation while managing shared compute resources and vendor relationships, ensuring cost-effective, reliable environments for HPC simulations and CAE workloads.

Formación

• 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.

Responsabilidades

• Own the internal CAD/CAE 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.

Descripción del empleo

Neural Concept is seeking an Engineering Environment Owner to empower engineering teams by shaping CAD/CAE environments, licenses and compute infrastructure. You will own the internal stack and drive reproducible workflows across diverse engineering contexts, enabling faster AI-assisted design.

You'll stay hands-on with scripting and automation while managing shared compute resources and vendor relationships, ensuring cost-effective, reliable environments for HPC simulations and CAE workloads.