EDA Computing / HPC Infrastructure MTS
Core
Provide advanced technical ownership for semiconductor design, verification, and tapeout computing environments, ensuring stable, high-performance, secure, and scalable compute, storage, and scheduling services for engineering users.
Role type
Senior Infrastructure Engineer (HPC/EDA)
Builds
Hybrid EDA HPC platforms across on-premises infrastructure and AWS-based compute environments
Domain
Semiconductor manufacturing / High-Performance Computing (HPC)
Deliverable
production ML models | infrastructure
Required skills
Linux system administration (RHEL), batch scheduling (IBM LSF), Bash scripting, incident root-cause analysis, automation tool development, NFS/NetApp ONTAP/AWS FSx/S3 storage management, ServiceNow
Preferred skills
Semiconductor tapeout flows (Calibre, ASML Brion, Cadence, Synopsys), AWS HPC workloads, Python automation, operational analytics tools
Technologies
IBM LSF, RHEL, AWS, NetApp ONTAP, NFS, FSx, S3, ServiceNow, Calibre, ASML Brion, Cadence, Synopsys
Responsibilities
Operate and optimize IBM LSF and batch scheduling environments; analyze and resolve job failures, queue bottlenecks, and license constraints; design and maintain automation tools for EDA operations; lead root-cause analysis and coordinate system changes; support hybrid on-premises and AWS EDA storage services
Seniority
Senior, hands-on IC
