Netpreme
Develops photonic-electronic memory fabrics for AI data centers.
Company facts
- Founded
- 2024
- Employees
- 10
- Headquarters
- United States
- Type
- Private
- Funding
- Series B · $11.7M · 2025
Open positions
Member of Technical Staff, Performance Modeling
A silicon architecture engineer who builds functional and performance models (rack-scale and chip-level) for netpreme's network-attached memory expansion device for AI accelerators, identifying bottlenecks across compute, memory, and interconnects. Work centers on performance modeling of high-bandwidth data movement using technologies like CXL, NVLink, CUDA, and NoC.
Member of Technical Staff, ASIC Design
About Netpreme The biggest bottleneck in AI systems today is memory. Chips compute faster than they can be fed data—a problem known as the memory wall—and Netpreme is building the solution that allows AI memory to…
Director, ASIC Verification
About Netpreme The biggest bottleneck in AI systems today is memory. Chips compute faster than they can be fed data—a problem known as the memory wall—and Netpreme is building the solution that allows AI memory to…
AI Infrastructure Engineer
Builds and operates LLM serving infrastructure using vLLM and SGLang on Kubernetes: deploying models, tuning parallelism and batching/KV-cache configs, benchmarking latency and throughput, and profiling GPU bottlenecks alongside a small team of model and hardware/systems engineers.