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SambaNova Tech Stack
Custom AI inference hardware and cloud platform for sovereign, on-premise deployments
SambaNova designs proprietary silicon and system software for AI inference, positioning itself between cloud providers and enterprises that need data sovereignty. The tech stack reveals a hardware-to-software stack (MLIR, kernel drivers, PCIe Gen5/6 validation, InfiniBand) alongside inference frameworks (PyTorch, TensorFlow, JAX). Hiring is heavily engineering-skewed (19 of 26 roles) with senior and principal engineers driving silicon bring-up, kernel development, and performance validation—indicating active silicon iteration cycles and a push to close reliability and integration gaps before scaling enterprise adoption.
Tech Stack 33 technologies
What SambaNova Is Building
◆Challenges
- Expanding ai infrastructure globally
- Accelerating ml feature development
- Accelerating bring-up cycles
- Reducing manual validation effort
- High-throughput inference
- Scaling enterprise adoption
- Bridging ml research and product engineering
- Reliability gaps
- Integration challenges with inference clouds
- Product gaps
▲Active Projects
- Sambastack inference serving platform
- Ai inferencing service
- Pcie gen5/6 interface validation
- Core ml feature development
- Performance analysis and validation tools for manufacturing test flows
- System bring-up and debugging across new silicon and system configurations
- Kernel-level drivers for high-speed io and memory subsystems within datascale platform
- Infrastructure & methodology
- Productization & deployment support
- System bring-up & validation
Hiring Activity
25 roles · 20 in 30d
Department
Seniority
Company intelligence
