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Microchip TechnologyPosted 1 month ago

Engineer II Systems (HPC)

On-siteChennai, Tamil Nadu, India

Full TimeLarge

Job Summary

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. Design, write, and maintain software to drive, tune, and monitor EDA workloads within the HPC grid, while creating comprehensive documentation for infrastructure and workflows. Research emerging technologies to support purchasing decisions and collaborate with cross-functional teams to ensure secure, stable operations. Requires 2.5-5 years of experience in Electrical Engineering, Computer Science, or HPC, with proficiency in Unix/Linux, Bash, Python, and EDA tools like Cadence and Synopsys. No travel required.

Required Qualifications

  • Minimum of 2.5 - 5 years of experience in Electrical Engineering, Computer Science, or High-Performance Computing
  • Hands-on experience with HPC system software and cluster management tools, including job schedulers such as LSF, SGE, RTDA, or similar
  • Strong proficiency with Unix/Linux operating systems and file systems
  • Fundamental programming and scripting skills using Bash, Perl, Python, Tcl, and/or C/C++
  • Experience with Electronic Design Automation (EDA) tools and suites from Cadence, Synopsys, and Siemens
  • 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

Desired Qualifications

  • Familiarity with Machine Learning and Artificial Intelligence frameworks (e.g.,LLM, TensorFlow) is a plus

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