HPC Engineer

Role Overview

We are looking for a highly motivated HPC Engineer who is passionate about driving innovation in engineering computing environments. This role goes beyond traditional HPC operations and focuses on identifying, evaluating, and implementing new technologies and customer solutions in our existing Industrial Engineering Cloud platform.

Key Responsibilities

• Drive innovation initiatives for engineering and HPC customers
• Evaluate and implement new technologies related to AI supported engineering and simulation workflows, GPU computing and acceleration, and NVIDIA Omniverse and digital twin technologies
• Analyze customer requirements and transform them into technical solutions and service enhancements
• Work directly with industrial engineering customers to understand current and future challenges
• Develop proof of concepts, pilot solutions, and production-ready implementations
• Introduce new capabilities into the existing HPC platform and service portfolio
• Collaborate with service management, architects, and operations teams across multiple countries
• Take full end-to-end ownership of projects, from idea generation through implementation and operational handover
• Continuously identify opportunities for automation, optimization, and service improvement

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field
• Solid understanding of High Performance Computing (HPC) environments and concepts
• At least experience with one prominent CAE solver (Ansys, StarCCM, Nastran, Optistruct, or similar)
• Strong Linux administration and troubleshooting skills
• Ability to understand engineering customer requirements and technical workflows
• Experience working in customer-facing or solution-oriented technical roles
• Strong analytical and problem-solving capabilities
• Excellent English communication skills

Preferred Qualifications

• Experience with GPU computing technologies and architectures
• Knowledge of NVIDIA technologies, including CUDA, GPUs, and NVIDIA Omniverse
• Experience with simulation workloads such as CAE, CFD, FEM, or related engineering applications
• Familiarity with AI and machine learning applications in engineering environments
• Experience with HPC workload managers such as Slurm
• Understanding of cloud-hosted HPC platforms and hybrid infrastructures
• Scripting and automation experience using Python, Bash, or similar tools