AI SoC Architect

3 days ago

Old Toronto, Ontario, Canada Tenstorrent Inc Full time
Job Title: AI SoC Architect

As a key member of the Tenstorrent Inc team, you will play a critical role in designing and developing innovative AI SoC architectures for networking and I/O systems. Your expertise will be instrumental in crafting solutions that address complex challenges in these areas.

Responsibilities:
  • Translate end-application use cases and workloads into comprehensive systems and SoC architectures.
  • Identify necessary IP, perform make-or-buy analysis, and architect solutions as required.
  • Contribute to the writing, iteration, and maintenance of SoC specifications.
  • Define APIs and SW/HW contracts, ensuring proper co-design dependencies.
  • Engage directly with customers to define use cases and system solutions.
  • Support virtual and global engineering teams, including third parties and joint ventures, in achieving business objectives.
Requirements:
  • Bachelor's or Master's degree in Electrical Engineering or Computer Science.
  • 15+ years of proven experience in Embedded Processor and Network SoC development, from inception to production.
  • Expertise in software system architecture with a focus on hardware-software system co-design optimization, especially in networking and I/O workloads.
  • Direct experience with open-source platform distributions, including Linux and SONiC.
  • In-depth knowledge of network protocols across the Physical to Transport layers, with up-to-date expertise in the latest protocols, line speeds, and various virtualization and acceleration techniques.
  • Strong background in high-speed I/O sub-systems such as PCIe,,, and storage transports like NVMe, NVMeOF, Object, and Block storage.
  • Experience in high-speed network acceleration, with the ability to discern when to use hardware or software termination based on workload requirements.
  • Understanding of Identity, Isolation, Security, and Privacy implications at every hardware layer.
  • Extensive experience in data center AI/HPC scale-up and scale-out technology, with a deep understanding of the architecture and performance optimization required for large-scale deployments.

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