EDA Computing / HPC Infrastructure MTS

GlobalFoundries•Richardson, TX
•$104,000 - $175,000

About The Position

GlobalFoundries is hiring an EDA Computing / HPC Infrastructure MTS or Senior MTS to provide advanced technical ownership for semiconductor design, verification, and tapeout computing environments. This hands-on senior technical role supports stable, high-performance, secure, scalable, and cost-effective compute, storage, scheduling, and EDA application services for engineering users. The position provides senior-level support for EDA compute clusters and hybrid HPC platforms across on-premises infrastructure and AWS-based environments. It operates and optimizes batch scheduling and EDA storage services, troubleshoots complex engineering workload issues, develops automation, and owns service-management work related to EDA computing. The role also leads root-cause analysis, coordinates planned changes, and communicates technical status during critical incidents. The role requires a bachelor's degree in a relevant technical field or equivalent practical experience, plus at least 8 years of relevant experience for MTS or 10 years for Senior MTS. Travel may be up to 10%.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
  • Minimum 8+ years of relevant experience for MTS, or 10+ years for Senior MTS, in EDA computing, HPC, Linux infrastructure, storage, cloud, or production engineering support.
  • Strong experience supporting EDA computing, HPC, or large-scale Linux production environments.
  • Hands-on experience with batch schedulers, preferably IBM LSF.
  • Strong Linux system administration skills on RHEL-based platforms.
  • Bash scripting capability.
  • Ability to analyze complex incidents, identify root causes, and implement sustainable technical solutions.
  • Fluency in English, written and verbal.
  • Up to 10% travel.

Nice To Haves

  • Master’s degree in Computer Science, Engineering, Information Technology, or a related technical field.
  • Experience supporting semiconductor design and tapeout flows, including Calibre, ASML Brion, Cadence, Synopsys, or similar EDA applications.
  • AWS or other cloud platform experience for HPC or engineering workloads.
  • NetApp ONTAP, NFS, FSx, S3, or high-performance file storage experience.
  • Python automation experience.
  • Experience with monitoring, logging, dashboarding, capacity reporting, and operational analytics tools.
  • Project management skills, including the ability to innovate and execute on meaningful solutions and navigate ambiguity.
  • Strong written and verbal communication skills.
  • Strong planning and organizational skills.

Responsibilities

  • Provide senior-level support for EDA compute clusters used for simulation, physical verification, OPC, lithography, signoff, and tapeout workloads.
  • Operate, optimize, and troubleshoot IBM LSF and other batch scheduling environments for high-throughput engineering workloads.
  • Analyze job failures, hung jobs, queue bottlenecks, license constraints, compute node issues, and workload performance problems.
  • Provide technical ownership for hybrid EDA HPC platforms across on-premises infrastructure and AWS-based compute environments.
  • Support and optimize EDA storage services, including NFS, NetApp ONTAP, AWS FSx, S3, and related high-performance file services.
  • Design, develop, and maintain automation tools to improve EDA operations, observability, reliability, and support efficiency.
  • Own and resolve complex ServiceNow incidents, requests, problems, and changes related to EDA computing services.
  • Lead root-cause analysis, coordinate planned system changes, and provide concise technical status updates during critical incidents.
  • Perform all activities in a safe and responsible manner and support Environmental, Health, Safety & Security requirements and programs.
  • Contribute to team meetings, knowledge sharing, documentation, cross-training, and continuous improvement activities.
  • Perform other duties as assigned by the manager.
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