Staff Software Engineer: Power & Thermal Simulator

Samsungsemiconductor; San Jose (CA); On-site; USD 163,000 - 253,000; Full time

Benefits offered by this job

4+ weeks paid time off

Fertility/adoption stipend

Virtual therapy support

Onsite cafe & gym

Flexible work environment

Job summary

Samsung Semiconductor in San Jose, CA seeks an experienced engineer to develop and extend a trace-driven power and thermal simulation engine. You will integrate IP-level power macromodels into system-level simulations and manage a time-indexed flow across power and thermal domains.

The role requires strong C++ software engineering, experience with simulation frameworks, and the ability to optimize performance and scalability. Daily onsite work aligns with our Flexible Work policy.

Qualifications

• Bachelors or higher with significant experience in power/thermal simulation.
• Experience building or extending simulation frameworks.
• Familiarity with discrete-event or time-stepped simulation architectures.

Responsibilities

• Implement and optimize trace-driven power and thermal simulation engines.
• Integrate IP-level power macromodels into system-level simulation.
• Manage a time-indexed simulation flow across power and thermal domains.
• Generate transient power maps and perform spatiotemporal hotspot analysis.
• Interface with reduced-order thermal models and CFD-calibrated solvers.
• Ensure simulation performance, scalability, and reproducibility.

Skills

C++ programming

Simulation frameworks

Discrete-event simulation

Software optimization

Debugging skills

Education

Bachelor's degree

Master's degree

PhD

Tools

Power macromodels

CFD solvers

Time-indexed simulation

Job description

Samsung Semiconductor in San Jose, CA seeks an experienced engineer to develop and extend a trace-driven power and thermal simulation engine. You will integrate IP-level power macromodels into system-level simulations and manage a time-indexed flow across power and thermal domains.

The role requires strong C++ software engineering, experience with simulation frameworks, and the ability to optimize performance and scalability. Daily onsite work aligns with our Flexible Work policy.