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Job Description:

Evaluate the effectiveness and efficiency of existing clustered HPC systems and develop strategies to enhance performance, scalability, and utilization.
Serve as a primary technical contact for HPC end users, providing guidance on running simulations and promoting best practices across the user community.
Design, write, and maintain software to drive, tune, and monitor EDA workloads within the HPC grid.
Create and maintain clear, comprehensive documentation related to HPC infrastructure and EDA workflows.
Research emerging software and systems technologies to support recommendations and purchasing decisions.
Collaborate with cross-functional engineering teams to ensure secure, stable, and optimized HPC operations.

Requirements/Qualifications:

Minimum of2.5 - 5years of experiencein Electrical Engineering, Computer Science, or High-Performance Computing.
Hands-on experience with HPC system software and cluster management tools, including job schedulers such asLSF, SGE, RTDA, or similar.
Strong proficiency withUnix/Linuxoperating systems and file systems.
Fundamental programming and scripting skills usingBash, Perl, Python, Tcl, and/or C/C++.
Experience withElectronic Design Automation (EDA)tools and suites fromCadence, Synopsys, and Siemens.
Familiarity withMachine LearningandArtificial Intelligenceframeworks (e.g.,LLM, TensorFlow) is a plus.
Demonstrated ability to provide technical leadership for complex, large-scale computing projects.
Strong problem-solving skills with the ability to independently identify and resolve HPC grid issues.
Ability to define and implement processes that maintain system performance and promote best practices.
Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
Proven ability to build positive working relationships and collaborate effectively with team members.
Strong organizational skills and attention to detail.

Engineer II Systems (HPC Engineer)