Member of Technical Staff, Performance Modeling

The role

You will develop functional and performance models for a scale-up network-attached memory expansion device for AI accelerators. You will work with the silicon architecture team to build system-level and chip-level models and identify performance bottlenecks.

What you will do

• Build and maintain system-level and chip-level performance models for high-bandwidth data movement.
• Model workloads from software memory access patterns through data distribution to on-device memory channels.
• Work with silicon architects, system designers, and workload owners to align performance expectations.
• Identify performance bottlenecks, scaling limits, and sensitivity points across compute, memory, and interconnects.
• Communicate modeling assumptions, limitations, and conclusions to technical and non-specialist stakeholders.

Required 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.

Nice to have

• Prior experience modeling performance for networking protocols with memory semantics.
• Familiarity with shared memory systems and frameworks (e.g. CUDA VMM).
• Familiarity with modern AI/ML technical stack from a workload perspective: large language model inference and sharding, KV caching, serving system (e.g. continuous batching).
• Experience with scale-up and high-bandwidth interconnects (e.g. NVLink or similar technologies).
• Experience with modeling memory subsystems

Benefits

• Competitive salary with performance-based bonus and early-stage equity grant
• 100% employer-paid Health, Dental, and Vision coverage for you and your dependents
• 401(k) match with immediate vesting
• Access to financial advisors
• 100% employer-paid Life, Disability, and AD&D insurance
• Fitness stipend
• Wellness & mental health perks
• 20 vacation days
• 15 company holidays (including 3 floating days)
• Daily lunch stipend
• Enterprise-level Claude & ChatGPT access
• On-site parking and EV charging

Before you apply

• Visa sponsorship and relocation assistance offered

About the company

Netpreme is building a solution to allow AI memory to scale independently of AI compute. The company is based in Cambridge, MA, and Santa Clara, CA.