Technical Staff Engineer - Design

Responsibilities

• Define and drive chiplet-based architectures for edge AI microcontroller platforms, including chiplet boundaries, interfaces, and integration strategies.
• Collaborate with the analog business unit to align on die-to-die interface specifications and packaging requirements.
• Perform architectural trade-off analysis to optimize power, performance, area, and cost (PPA) using modeling and simulation.
• Conduct advanced-node product research and feasibility studies for edge AI workloads.
• Develop and optimize end-to-end advanced-node design flows for high-volume MCU products.
• Work cross-functionally with AI accelerator, CPU core, memory, and manufacturing teams to ensure system optimization.
• Provide technical leadership and mentorship to junior engineers within the MCU and Edge AI teams.

Requirements

• Bachelor's Degree in Electrical or Computer Engineering (Master's preferred).
• 10+ years of relevant experience with Verilog, SystemVerilog, and/or VHDL.
• Strong knowledge of chiplet-based or modular architectures and system-level integration.
• Hands-on experience with advanced-node FinFET technology and associated design flows.
• Proficiency with EDA tools for architecture exploration, RTL design, synthesis, and physical implementation.
• Scripting skills in Python, Tcl, or Perl for design automation.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with edge AI acceleration, digital signal processors, or embedded machine learning engines.
• Knowledge of UCIe (Universal Chiplet Interconnect Express) or other chiplet interface standards.
• Proven track record in high-volume, cost-sensitive MCU product development.
• Experience with advanced nodes (e.g., 7nm-class and beyond) and roadmap planning.
• Familiarity with silicon bring-up, validation, and debug activities.

About the Company

Microchip Technology Inc. is a leading semiconductor company that designs and manufactures microcontrollers, mixed-signal, analog, and Flash-IP solutions. Our MCU Business Unit is at the forefront of Edge AI innovation, delivering intelligent real-time decision-making solutions for industrial, automotive, and IoT networks.