HPC Operations Engineer - EDA Infrastructure
NVIDIAJob Title
HPC Operations Engineer - EDA Infrastructure
Role Summary
The HPC Operations Engineer will ensure reliable daily operation of NVIDIA's high-performance computing environment that supports semiconductor builds and engineering workflows. The role is part of an operations team responsible for compute, scheduler, storage, access, and incident triage for large-scale HPC systems.
Primary goals are to provide first-line user support, maintain system health, execute operational procedures, and produce clear operational documentation and runbooks.
Experience Level
Mid-level. The posting requests a minimum of 2+ years of experience supporting Linux-based production environments.
Responsibilities
Provide operational support and maintain stable HPC services. Typical duties include:
- Provide first-line support for HPC users on scheduling, compute, storage, and access issues.
- Troubleshoot job failures, scheduler errors, resource constraints, and performance issues; drive to resolution or escalate to SMEs.
- Triage infrastructure incidents, collect diagnostics, and escalate when outside defined ownership.
- Monitor system health, job queues, node status, and service availability to ensure stable operations.
- Execute maintenance, patching, and configuration updates according to operational procedures.
- Develop and maintain runbooks, knowledge-base articles, and operational documentation.
- Identify recurring issues and recommend process or workflow improvements.
Requirements
Must-have skills and experience:
- 2+ years supporting Linux-based production environments.
- Strong Linux systems administration fundamentals (RHEL/CentOS and/or Ubuntu).
- Ability to troubleshoot technical issues methodically and escalate appropriately.
- Experience interacting directly with users in a technical support or operations role.
- Strong written communication skills for producing documentation and procedural guides.
- Demonstrated ability to follow established processes with attention to detail.
Nice-to-have:
- Foundational scripting or automation experience (e.g., Bash or Python).
- Familiarity with workload schedulers such as LSF, Slurm, or similar systems.
- Knowledge of supporting infrastructure (NFS, automounter, LDAP).
- Experience supporting HPC or large-scale compute environments and familiarity with EDA workloads.
Education Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
