Networking ASIC Architect at Tenstorrent

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI/ML, Datacenter, Semiconductors, HPCIndustries

Requirements

5+ years of experience in networking chip design with hands-on RTL design expertise
Deep knowledge of buffering and queuing mechanisms, especially in networks with ≥25 Gbps per port
Strong grasp of packet forwarding, scheduling algorithms, and transport protocols (L2/L3/L4: e.g., RDMA, RoCE, TCP/UDP, nARQ)
Experience in traffic modeling and performance-driven ASIC architecture
Knowledge of how IP components combine to form a networking interface (SERDES→ PCS→ MAC→ etc.) and how they impact accelerators/IP that sit above them
Understanding of multi-hop switching, traffic congestion control, and head-of-line blocking mitigation
Systems thinker who understands how network architecture affects end-to-end system performance
Passionate about designing scalable, low-latency solutions that support massive AI and HPC workloads
Comfortable diving into both hardware RTL and system-level performance modeling
Strong communicator who can collaborate across architecture, design, software, and silicon teams
Driven by curiosity, with a bias for action and the persistence to drive architectural innovation
Eligible to access U.S. export-controlled technology (per U.S. Export Administration Regulations)

Responsibilities

Help define next-generation high-performance networking architectures for AI/ML and datacenter systems
Work cross-functionally with design teams to drive architecture, microarchitecture, and performance modeling of complex networking systems

Skills

ASIC design

RTL design

networking architectures

microarchitecture

performance modeling

data movement protocols

programmable networking

buffering

Tenstorrent

Builds advanced computers for AI applications

About Tenstorrent

Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, leveraging technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent focuses on integrating neural network compilers into their systems, enhancing the efficiency of AI computations. 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 specialized systems and services.

Toronto, CanadaHeadquarters

2016Year Founded

$1,297.7MTotal Funding

SERIES_DCompany Stage

Hardware, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Hybrid Work Options

Risks

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.

Differentiation

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.

Upsides

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.

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