Job Description
Job Description
We are seeking a skilled CAE Engineer to support the high-performance computing (HPC) and engineering application environments within our semiconductor R&D and design organizations. In this contract role, you will be responsible for the operational stability, performance, and scalability of compute clusters, EDA tools, license systems, and user access environments.
** Key Responsibilities**
- ** Application Environment Operations:** Install, configure, and upgrade engineering applications; manage version trees and environment modules; perform qualification testing and document results.
- ** EDA Tool Deployment:** Install, patch, and configure EDA tools; support new environment buildouts; troubleshoot installation issues and provide technical support.
- ** License Server Management:** Operate and monitor FlexLM/FlexNet license servers; resolve license-related issues; generate utilization and idle-license reports.
- ** HPC Cluster Operations:** Monitor cluster health and job queues; triage failed/pending jobs; apply resource policies; report on utilization and performance metrics.
- ** User Access Support:** Deploy and maintain remote desktop/login environments; resolve user session issues.
- ** R &D Software Management:** Manage software assets and license inventory; support procurement and renewals; drive consolidation and standardization based on usage data.
- ** Linux System Administration:** Handle server provisioning, patching, storage/filesystem troubleshooting; automate monitoring, reporting, and routine tasks via scripting.
** Qualifications**
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
- 3+ years of hands-on experience in HPC infrastructure, EDA/engineering IT, or Linux system administration.
- Strong working knowledge of job schedulers (e.g., LSF, SLURM, Grid Engine ) and license management systems.
- Experience with engineering/EDA application environments (e.g., Synopsys, Cadence, Siemens EDA tools).
- Proficiency in scripting ( ** Python, Bash, Perl, or similar** ) to automate operational tasks.
- Excellent troubleshooting, documentation, and communication skills.