EDA Computing / HPC Infrastructure MTS

Overview

Senior technical role providing ownership of semiconductor design, verification and tapeout computing environments, supporting stable, high-performance, secure, scalable and cost-effective compute, storage, scheduling and EDA application services for engineering users.

What you'll do

• Provide senior-level support for EDA compute clusters supporting simulation, physical verification, OPC, lithography, signoff and tapeout workloads.
• Operate, optimize and troubleshoot IBM LSF and other batch scheduling environments supporting high-throughput engineering workloads.
• Analyze and resolve job failures, hung jobs, queue bottlenecks, license constraints, compute-node issues and workload performance problems.
• Provide technical ownership for hybrid EDA HPC platforms spanning 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 that improves EDA operations, observability, reliability and support efficiency.
• Own and resolve complex ServiceNow incidents, requests, problems and changes associated with EDA computing services.
• Lead root-cause analysis, coordinate planned system changes and provide concise technical status updates during critical incidents.
• Contribute to technical documentation, knowledge sharing, cross-training, operational standards and continuous improvement.
• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety and Security requirements and programs.
• Perform other duties as assigned by the manager.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related technical discipline, or equivalent practical experience.
• Minimum 8 years of relevant experience for MTS or minimum 10 years of relevant experience 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 enterprise batch scheduling platforms, preferably IBM LSF.
• Strong Linux system administration skills, particularly on RHEL-based platforms.
• Hands-on Bash scripting capability.
• Demonstrated ability to investigate complex production incidents, identify root causes and implement sustainable technical solutions.

Nice to have

• Master's degree in Computer Science, Engineering, Information Technology or a related technical field.
• Experience supporting semiconductor design and tapeout flows using technologies such as Calibre, ASML Brion, Cadence, Synopsys or comparable EDA applications.
• Experience with AWS or another cloud platform supporting HPC or engineering workloads.
• Experience with NetApp ONTAP, NFS, AWS FSx, S3 or other high-performance storage technologies.
• Python automation experience.
• Experience with monitoring, logging, dashboarding, capacity reporting and operational analytics.
• Ability to innovate and execute solutions in technically complex and ambiguous environments.
• Strong written and verbal communication skills.
• Strong planning and organizational skills.

Details

• Location: Bengaluru, Karnataka, India (North).
• Travel: up to 10%.