Senior Staff Software Engineer, Power & Thermal Simulation

Samsungsemiconductor; San Jose (CA); On-site; USD 189,000 - 301,000; Full time

Benefits offered by this job

Paid time off

Fertility/adoption stipend

Medical travel support

Onsite cafe & gym

Flexible benefits

Job summary

Samsung Semiconductor in San Jose, CA is seeking an engineer to develop and extend a trace‑driven power/thermal simulation engine, integrating power macromodels, workload traces, and thermal solvers into a coherent, scalable flow. The role focuses on high‑fidelity modeling and performance optimization.

You will build or extend simulation frameworks, interface with IP‑level models, and ensure reproducible results across power and thermal domains. Flexible onsite work aligns with our policy.

Qualifications

• Bachelor's degree +15+ years of experience or Master's +13+ years of experience.
• Strong C++ software‑engineering background.
• Experience building or extending simulation frameworks.
• Familiarity with discrete‑event or time‑stepped simulation architectures.
• Solid software‑design, debugging, and performance‑optimization skills.

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++

Simulation frameworks

Time-indexed simulation

Discrete-event

Education

Bachelor's degree +15+ years or Master's +13+ years

Tools

CFD solvers

Job description

Samsung Semiconductor in San Jose, CA is seeking an engineer to develop and extend a trace‑driven power/thermal simulation engine, integrating power macromodels, workload traces, and thermal solvers into a coherent, scalable flow. The role focuses on high‑fidelity modeling and performance optimization.

You will build or extend simulation frameworks, interface with IP‑level models, and ensure reproducible results across power and thermal domains. Flexible onsite work aligns with our policy.