Power RTL Macromodeling Intern for AI Memory

Samsung Semiconductor; San Jose (CA); On-site; USD 39,000 - 94,000; Full time

Benefits offered by this job

Relocation Support

Housing Stipend

Charitable giving match

Emotional Wellness

Onsite Café & gym

Flexible environment

Job summary

Samsung Semiconductor is seeking an RTL-focused intern in San Jose to help build and validate power models for AI memory components. You will work in a small, fast-moving team with direct ownership and minimal busywork, contributing to real hardware projects and collaborating with hardware, software, and thermal experts.

You will develop IP-level power macromodels, extract features from RTL and SystemC simulations, and validate models against silicon data.

Qualifications

• Must have at least 1 academic quarter/semester remaining.
• RTL design and analysis experience using Verilog/SystemVerilog/SystemC.
• Solid coding in C++ or Python and exposure to power modeling concepts.

Responsibilities

• Develop IP-level power macromodels for AI memory components using analytical, lookup-table, FSM, neural network approaches.
• Extract activity, value, and state-dependent power features from RTL/SystemC/C simulations.
• Validate models against RTL/gate-level power analysis and silicon data.
• Deliver validated models and regression checks into the trace-driven flow with software engineers.
• Assist across multiple research projects and shape scope with mentorship.

Skills

RTL design

Verilog

SystemVerilog

SystemC

C++

Python

Power analysis

Education

MS or PhD in Electrical and Computer Engineering, Computer Science, or related field

Must have at least 1 academic quarter/semester remaining

Tools

PrimeTime PX

StarRC

VCS

PowerArtist

McPAT

CACTI

Wattch

S-parameters

SPICE

UCIe

Job description

Samsung Semiconductor is seeking an RTL-focused intern in San Jose to help build and validate power models for AI memory components. You will work in a small, fast-moving team with direct ownership and minimal busywork, contributing to real hardware projects and collaborating with hardware, software, and thermal experts.

You will develop IP-level power macromodels, extract features from RTL and SystemC simulations, and validate models against silicon data.