Engineer II - Systems (HPC Engineer)

Microchip Technology Inc.•Chandler, AZ

1d•Onsite

About The Position

Microchip Technology Inc. is a global organization with a 17,000-member team, known for designing technology that powers the world. The company fosters a culture of trust, empowerment, respect, diversity, and communication, supporting employee growth and stability through programs like nationally-recognized Leadership Passage Programs. Microchip prides itself on its commitment to employee development, values-based decision making, and a strong sense of community, driven by its Vision, Mission, and 11 Guiding Values, referred to as the Aggregate System. The company has achieved record revenue and over 30 years of quarterly profitability through dedicated team players. The Engineer II - Systems (HPC Engineer) will be responsible for evaluating and enhancing the performance, scalability, and utilization of existing clustered High-Performance Computing (HPC) systems. This role serves as a primary technical contact for HPC end users, providing guidance and promoting best practices. Key aspects include designing, writing, and maintaining software for EDA workloads within the HPC grid, creating comprehensive documentation, researching emerging technologies, and collaborating with cross-functional engineering teams to ensure secure, stable, and 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.