Principal Product Engineer - Low Power Emulation

Quick Facts

Role focuses on low-power design and verification, including UPF modeling, multi-voltage domain design, and power-aware simulation/emulation, with customer support for functional verification and power validation.

Description

Responsibilities include driving low-power design/verification, debugging power-intent and RTL/system integration issues, and collaborating with global R&D teams.

Responsibilities

• Drive low-power design and verification activities, including UPF modeling, multi-voltage domain design, and power-aware simulation/emulation
• Support customer projects on both functional verification and power validation
• Analyze and debug complex issues related to power intent, RTL design, and system integration
• Collaborate closely with global R&D teams to deliver and optimize technical solutions
• Guide customers to success by providing high-quality technical support and troubleshooting solutions
• Contribute to methodology development, knowledge sharing, and best-practice standardization

Requirements

• Bachelor’s degree or above in Microelectronics, Electrical Engineering, or related fields
• Experience in at least one of the following areas: low-power design or verification (UPF/CPF/power-aware verification) OR RTL design or verification (SystemVerilog/UVM preferred)
• Solid understanding of SoC architecture and digital design principles
• Solid understanding of power management techniques (power domains, isolation, retention, DVFS, etc.)
• Strong problem-solving and debugging skills in complex systems
• Good communication skills in English (both verbal and written), able to work in a global environment

Benefits

We’re doing work that matters. Help us solve what others can’t.

Preferred Qualifications

• Experience with Palladium/Protium/hardware emulation platforms
• Familiarity with EDA tools and verification flows
• Customer-facing experience (AE/PE/Solution Engineer)
• Tape-out experience in SoC or ASIC projects
• Experience in power analysis and optimization