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Full-Time

AI Networking/IO SoC & Systems Architect

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

Data & Analytics
Enterprise Software
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 Research
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 specializes in developing high-quality AI/ML accelerators, including individual PCIe cards, workstations, servers, and ultra-dense Galaxy pods, featuring industry-standard chiplets and a modular RISC-V CPU. Their products also incorporate a BUDA software framework designed for open-source collaboration, enabling efficient and scalable hardware for deep learning applications.

Company Stage

Series C

Total Funding

$334.5M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

15%

1 year growth

39%

2 year growth

125%
Simplify Jobs

Simplify's Take

What believers are saying

  • The launch of next-generation Wormhole-based developer kits and workstations could attract a significant developer community, driving innovation and adoption.
  • Collaborations with industry giants like Hyundai and Rapidus indicate strong growth potential and access to advanced manufacturing technologies.
  • The introduction of specialized AI inference acceleration boards like the Grayskull e75 and e150 can capture a niche market in AI and machine learning applications.

What critics are saying

  • The competitive landscape in AI hardware is intense, with major players like NVIDIA and Intel posing significant challenges.
  • Dependence on strategic partnerships for advanced manufacturing and technology development could lead to vulnerabilities if these partnerships falter.

What makes Tenstorrent unique

  • Tenstorrent's use of RISC-V architecture in their AI processors offers a unique alternative to traditional x86 and ARM architectures, providing flexibility and open-source benefits.
  • Their focus on high-performance AI chips and scalable developer kits positions them as a key player in the AI hardware market, particularly for developers seeking robust multi-chip solutions.
  • Strategic partnerships with global entities like Rapidus and C-DAC enhance their capabilities in cutting-edge semiconductor technology and edge AI processing.

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