Fabric SOC Architect at Tenstorrent

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, SemiconductorsIndustries

Requirements

BS/MS/PhD in EE, ECE, CE, or CS
Deep understanding of NoC topologies, routing algorithms, QoS, and traffic scheduling
Expertise in cache coherency protocols (AMBA CHI/AXI) and modern memory/IO technologies (DDR, LPDDR, GDDR, PCIe, CCIX, CXL)
Proficiency in C/C++ programming, with experience in building efficient performance models
Familiarity with ML/AI traffic patterns or formal verification of cache coherence protocols (strong plus)
Passionate about solving complex system-level performance problems
Comfortable working across hardware and software boundaries
Analytical and data-driven, with a talent for turning workloads into architectural insights
Collaborative, thriving in cross-functional teams spanning compilers, CPU, and interconnect
Excited to shape the future of AI/HPC platforms through performance architecture
Eligible to access U.S. export-controlled technology (contingent on citizenship/permanent residency status or ability to obtain license approval)

Responsibilities

Work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics
Bridge software execution and silicon design
Make data-driven decisions that directly influence SoC performance
Shape the future of high-performance systems for AI, HPC, and general-purpose workloads

Skills

NoC

Routing Algorithms

QoS

Traffic Scheduling

Cache Coherency

RISC-V

Compilers

CPU Design

Interconnect Fabrics

ML Software Stacks

Performance Architecture

HPC Platforms

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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