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EDA Computing / HPC Infrastructure MTS

GlobalFoundries
Posted 20 days ago, valid for 19 days
Location

Essex, VT, US

Salary

$104,000 - $175,000 per year

Contract type

Full Time

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Sonic Summary

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  • GlobalFoundries is seeking an EDA Computing / HPC Infrastructure MTS or Senior MTS to manage semiconductor design and verification computing environments.
  • The role requires a minimum of 8 years of relevant experience for MTS and 10 years for Senior MTS, with a focus on EDA computing and HPC environments.
  • Key responsibilities include supporting EDA compute clusters, optimizing batch scheduling environments, and troubleshooting complex incidents.
  • The expected salary range for this position is between $104,000.00 and $175,000.00, depending on qualifications and experience.
  • Candidates should possess a Bachelor's degree in a related field, with strong skills in Linux administration, batch schedulers, and automation tools.

About GlobalFoundries: 
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and gives customers the power to shape their markets. For more information, visit www.gf.com. 

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.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. 

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. 

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law 




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