Server Farm Engineer

Role: Server Farm Engineer US Location: San Jose, CA OR Austin, TX Europe Location: Brussels, Belgium OR Velizy, France OR Munich, Germany Rate: $60/hr obo Must haves Hands-on technical experience managing IBM LSF and RTM (or Slurm) 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 (EDA or CFD 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 (Azure). 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 Education: BS / MS in computer science, engineering, or related field Best Regards, Job Type: Contract Pay: $55.00 - $60.00 per hour Work Location: In person