IT System Engineer (HPC Administrator + Linux) / Server Farm Engineer with LSF or Slurm

Must haves

• Hands-on technical experience managing IBM LSF (Load Sharing Facility) and RTM (and scripting using Python, shell, Perl, etc., in a Farm environment and knowledge of LSF (Load Sharing Facility) spanning Farm to Cloud is highly desirable

• Solid understanding and proven operational experience with compute farms, job submission/management technologies, cloud, and associated management tools.
• Proven experience working directly with R&D software development teams to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)

Responsibilities

• Supporting multiple geological locations to serve user communities across North America, Europe, and Asia sites.
• Focusing on improving R&D productivity and committing to customer success.
• Driving the overall operational strategy for internal High-Performance Compute (HPC) farms in all Cadence locations.
• Developing and executing the three-year compute roadmap and planning annual capacity growth for on-premises server farm in San Jose.
• Operating, managing, and enhancing the internal compute farm and associated cloud (AWS).
• Maintaining, enhancing, monitoring, reporting, and improving its efficiency.

Requirements

• 8+ years of technical experience architecting, managing, and improving a compute farm environment running Linux.
• At least 5 years of direct hands-on experience in a global or regional compute farm and/or hybrid cloud environment consisting of 1,000 or more servers with some remote direct reports
• At least 3 years working in a global group, coordinating support, strategies, projects, and operations across multiple geographies in a team-oriented approach
• Extensive technical experience managing IBM LSF and RTM and scripting using Python, shell, Perl, etc., in a Farm environment and knowledge of LSF spanning Farm to Cloud is highly desirable
• Solid understanding and proven operational experience with compute farms, job submission/management technologies, cloud, and associated management tools.
• Proven experience working directly with R&D software development teams to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)
• Proven experience in capacity and performance management, optimizing performance, ensuring adequate capacity, working with R&D on optimization of their workloads, and development and maintenance of key performance indicators
• A proven process focus shown through documentation, change management, incident management and problem-resolution activities