Job Description

We are seeking an experienced CAE HPC Specialist to manage, support, and optimize our on premises high-performance computing (HPC) infrastructure for the Virtual Engineering Group. The ideal candidate will have significant experience with Linux HPC systems and a deep understanding of CAE engineering software, including Ansys and Altair CFD, FEA and multi-physics applications.

The CAE HPC Specialist will be responsible for performance tuning, user support, license management, troubleshooting, automation and system configuration.

The CAE HPC Specialist will support a global engineering team across multiple locations, requiring strong expertise in remote system administration and software deployment.

Responsibilities

Key Responsibilities:

• Lead HPC performance tuning
• Ensure efficient job scheduling and resource allocation using Open PBS.
• Optimize parallel processing and remote visualization workflows (VNC).
• Monitor system health, usage, and troubleshoot hardware/software issues.

• Troubleshoot job submission failures, simulation crashes, and visualization issues.
• Assist users with best practices for simulation workflows and HPC utilization.
• Maintaining software compatibility across updates and system upgrades
• Install and maintain CAE software on Workstations and ensure version alignment with HPC

• Assign and prioritize CAE license access for global users
• License tracking, usage reports, and cost-benefit analysis.

• Act as the primary contact for HPC-related support tickets.
• Maintain an internal knowledge base for common troubleshooting issues.

Qualifications

Qualifications & Skills:

• 10+ years of experience in CAE, CFD, FEA and HPC systems
• Strong expertise in Linux (Red Hat 8.7), HPC job scheduling (Open PBS), and remote visualization (VNC).
• Hands-on experience with Ansys Fluent, Maxwell, Altair Hypermesh, OptiStruct, and Radioss.
• Familiarity with license server management (FlexNet, LM-X, etc.).
• Strong scripting skills (Bash, Python) for automation and troubleshooting.
• Experience with performance tuning and parallel computing for CAE applications.
• Excellent problem-solving, communication, and global user support skills.

Essential skills

Preferred Qualifications:

• Experience in automotive systems, thermal and electromotive systems and their simulation software.
• Knowledge of containerization tools like Docker and Kubernetes.
• Familiarity with AI/ML workflows in HPC environments.
• Experience with benchmarking and performance analysis of HPC systems.
• Familiarity with cloud-based HPC solutions and hybrid computing environments.
• Knowledge of IT security policies, data encryption, and access control management.