Full-Time

AI Networking/IO SoC & Systems Architect

Posted on 9/20/2024

Tenstorrent

Tenstorrent

501-1,000 employees

Builds advanced computers for AI applications

Hardware
AI & Machine Learning

Compensation Overview

$100k - $500kAnnually

Expert

Boston, MA, USA + 3 more

More locations: Toronto, ON, Canada | Austin, TX, USA | Santa Clara, CA, USA

Hybrid role based out of Santa Clara, CA; Boston, MA; Toronto, ON; or Austin, TX.

US Citizenship Required

Category
Applied Machine Learning
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Linux/Unix
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, CXL.io, CXL.mem, 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.
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.

Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, focusing on technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent emphasizes a combination of computer architecture expertise and neural network compilers to enhance AI performance. The company's goal is to advance the capabilities of AI computing, serving clients in the AI and computing sectors while generating revenue through the sale of their systems and services.

Company Stage

Series D

Total Funding

$1.3B

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-6%

2 year growth

-4%
Simplify Jobs

Simplify's Take

What believers are saying

  • RISC-V architecture's growth aligns with Tenstorrent's open-source AI software focus.
  • Automotive AI chip market growth offers lucrative opportunities for Tenstorrent's BOS partnership.
  • Increasing demand for HPC systems could expand Tenstorrent's reach beyond tech industries.

What critics are saying

  • Competition from established AI hardware companies like Nvidia could impact market share.
  • Reliance on open-source software may delay product development timelines.
  • Geopolitical tensions in South Korea and Japan could disrupt Tenstorrent's supply chains.

What makes Tenstorrent unique

  • Tenstorrent leverages RISC-V technology for flexible, open-source AI hardware solutions.
  • The company partners with BOS Semiconductors to develop next-gen automotive AI chips.
  • Tenstorrent's global presence includes offices in key tech hubs like Silicon Valley and Tokyo.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Hybrid Work Options

INACTIVE