Summary of Role:
We are 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.

Essential 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.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Other duties as assigned by manager.

Contribute to team meetings, knowledge sharing, documentation, cross-training, and continuous improvement activities.

Required Qualifications:

Education - Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

Experience - Minimum 8+ years of relevant experience for MTS, or 10+ years of relevant experience for Senior MTS, in EDA computing, HPC, Linux infrastructure, storage, cloud, or production engineering support.

Skills - 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; and ability to analyze complex incidents, identify root causes, and implement sustainable technical solutions.

Travel - Up to 10%

Fluency in English Language - written & verbal.

Preferred Qualifications:

Education - Master's degree in Computer Science, Engineering, Information Technology, or related technical field preferred.

Experience - Experience supporting semiconductor design and tapeout flows, including Calibre, ASML Brion, Cadence, Synopsys, or similar EDA applications.

Skills - 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; and experience with monitoring, logging, dashboarding, capacity reporting, and operational analytics tools.

Project management skills - i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.

Strong written and verbal communication skills.

Strong planning & organizational skills.

Expected Salary Range
$104,000.00 - $175,000.00

The exact Salary will be determined based on qualifications, experience and location.