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Netpreme is a hardware-focused startup designing memory acceleration and networking silicon for AI inference workloads. The tech stack—Verilog, SystemVerilog, CUDA, TensorRT, JAX, PyTorch, TensorFlow, NVLink—signals deep GPU/accelerator integration. The project list reveals a systems-level focus: memory acceleration for LLMs, silicon IP/SoC design, GPU kernel optimization, and TPU/Trainium prototyping. The all-senior, engineering-heavy hiring (7 positions, 4 posted in 30 days) and aggressive performance/power/area constraints suggest they're solving hard datacenter efficiency problems that require experienced IC and systems engineers.
Tech Stack 18 technologies
Core StackC++ PyTorch TensorFlow Verilog SystemVerilog Ethernet vLLM SGLang TensorRT CUDA JAX ROCm GPU TPU Nsight Systems Nsight Compute XLA NVLink
What Netpreme Is Building
◆Challenges
- Aggressive performance, power and area goals
- Tight schedules and budget constraints
- Improving ai efficiency
- Identifying performance bottlenecks early
- Identifying scaling limits
- Identifying sensitivity points
▲Active Projects
- Memory acceleration for advanced llm in data centers
- Memory acceleration for ai/datacenter
- Silicon roadmap ip/soc design
- Prototype emerging ml inference systems
- Develop novel memory models for expandable vram
- Benchmark inference engines
- Gpu ml kernel optimization
- Accelerator benchmarking tools
- Tpu/trainium support prototype
- Performance modeling for silicon
Hiring Activity
8 roles · 4 in 30d
Department
Seniority
Company intelligence
