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Recognizable semiconductor brand and mid-level role, but niche HPC/EDA skills reduce applicant density.
Strong domain and tool specificity (HPC clusters, EDA tools) limits cross-industry transferability.
Explicit years plus mandatory HPC, job scheduler, Unix, scripting, and EDA tool experience enforce strict filters.
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Evaluate and improve performance, scalability, and utilization of clustered HPC systems.
Serve as primary technical contact for HPC end users, guiding simulation execution and promoting best practices.
Design, develop, and maintain software to manage and monitor EDA workloads within the HPC grid.
2.5 - 5 years of experience in Electrical Engineering, Computer Science, or High-Performance Computing.
Hands-on experience with HPC cluster management tools and job schedulers such as LSF, SGE, or RTDA.
Strong proficiency in Unix/Linux operating systems and scripting/programming skills in Bash, Perl, Python, Tcl, and/or C/C++.
Experience with Electronic Design Automation (EDA) tools from Cadence, Synopsys, or Siemens.
Technical leadership capability in managing complex, large-scale HPC projects and infrastructure.
Experienced in cross-functional collaboration for secure, stable, and optimized HPC operations.
Strong problem-solver able to independently identify and resolve HPC grid issues while driving process improvements.