Performance Modeling Engineer - AI Memory Systems

Netpreme; Santa Clara (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health, Dental, and Vision coverage

Early-stage equity grant

401(k) match

Daily lunch stipend

On-site parking with EV charging

Job summary

Netpreme is seeking a Member of Technical Staff, Functional and Performance Modeling to develop functional and performance models for our scale-up memory expansion device for AI accelerators. You’ll work with the silicon architecture team to explore design tradeoffs and validate performance assumptions.

This onsite role is based in Santa Clara, CA or Boston, MA, and involves modeling system- and chip-level data movement, identifying bottlenecks, and communicating results to stakeholders across

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a closely related field.
• 5–10+ years of experience in performance modeling for data movement devices: NICs, memory expansion cards (e.g. CXL), IPU/DPU, NoC.
• Ability to reason across multiple abstraction layers, from architectural details to system-level performance behavior.

Responsibilities

• Build and maintain system-level (e.g., rack-scale) and chip-level performance models for high-bandwidth data movement between devices operating in the scale-up domain.
• Model workloads from software memory access patterns through data distribution in the network and all the way down to on-device memory channels.
• Work day-to-day with silicon architects, system designers, and workload owners to align performance expectations and constraints.
• Identify performance bottlenecks, scaling limits, and sensitivity points across compute, memory, and interconnects in end-to-end workload settings.
• Clearly communicate modeling assumptions, limitations, and conclusions to both technical and non-specialist stakeholders.

Skills

Performance modeling

System-level modeling

Multi-layer reasoning

Data movement

NVLink

Education

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or closely related field

Tools

CUDA

NoC

NVLink

Job description

Netpreme is seeking a Member of Technical Staff, Functional and Performance Modeling to develop functional and performance models for our scale-up memory expansion device for AI accelerators. You’ll work with the silicon architecture team to explore design tradeoffs and validate performance assumptions.

This onsite role is based in Santa Clara, CA or Boston, MA, and involves modeling system- and chip-level data movement, identifying bottlenecks, and communicating results to stakeholders across