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Tenstorrent

Designs AI chips and licenses processor cores

Interconnect and Compute Architect

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA

About the Job

Requirements

  • Knowledge of Ethernet network architecture and performance modeling.
  • Experience with die-to-die interfaces, associated protocols, and design tradeoffs.
  • Understanding of Ethernet networking concepts and their mapping onto on-chip and off-chip fabrics.
  • Experience with datacenter scale-up architectures such as UALink, NVLink, and Broadcom SUE.
  • Experience with scale-out RDMA protocols such as RoCE and InfiniBand.
  • Comfort working at the intersection of forwarding, buffering, modeling, and register-transfer-level design.
  • Ability to collaborate across hardware, software, and systems teams to define and refine networking requirements.

Responsibilities

  • Contribute to current datacenter networking efforts.
  • Help define and build next-generation CPU networking architecture for datacenter and emerging robotics and automotive applications.
  • Seed and specify future medium- to low-power robotics and automotive devices for AI/ML compute and sensor ingest.
  • Guide architectural decisions involving forwarding, buffering, modeling, and register-transfer-level design.
  • Collaborate across hardware, software, and systems teams to define and refine networking requirements.
  • Help drive next-generation CPU networking architecture for AI/ML workloads.

About the Company

Tenstorrent

Designs AI chips and licenses processor cores

Tenstorrent designs AI processors and computing systems for developers, enterprises and chip designers that want control over their hardware. Its Galaxy servers connect multiple AI processors to run language models, video generation and other workloads across larger systems. The company sells accelerator cards, workstations and servers, and licenses RISC-V CPU designs and Tensix AI cores for customers to incorporate into their own chips. Its software compilers translate models from popular machine learning frameworks into programs for Tenstorrent hardware. Founded in 2016, it operates from offices in the United States, Canada, Europe and Asia.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$2.8B
Headquarters
Santa Clara, CA
Founded
2016

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