Engineer II - Systems (HPC Engineer)

Microchip•Chandler, AZ

2d•Onsite

About The Position

Microchip Technology Inc. is seeking an Engineer II - Systems (HPC Engineer) to join their team. This role offers an opportunity to be part of a large, global organization focused on designing technology that powers the world. The company emphasizes a culture of trust, empowerment, respect, diversity, and communication, with a strong commitment to employee development and innovation. Microchip has a history of record revenue and consistent profitability, driven by a dedicated team. The Job Description outlines the responsibilities of evaluating and enhancing existing clustered HPC systems, serving as a technical contact for HPC end users, designing and maintaining software for EDA workloads, creating documentation, researching new technologies, and collaborating with cross-functional teams to ensure optimized HPC operations.

Requirements

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.
Strong organizational skills and attention to detail.

Nice To Haves

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

Responsibilities

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.