Machine Learning 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, Robotics, SemiconductorsIndustries

Requirements

Endlessly curious, with a passion for exploring new technologies and solving complex, system-level challenges
Self-motivated, capable of working both independently and collaboratively across teams
Deep interest in robotics and machine learning, energized by driving innovation in intelligent machines
Strong communicator, comfortable presenting architectural ideas and digging into technical bottlenecks with implementation teams
Thrives in fast-paced, cross-functional environments and eager to make an impact on industry-defining products
Eligible to access U.S. export-controlled technology

Responsibilities

Own and author detailed architecture specifications for ML chiplets and SoCs targeting next-generation robotics platforms
Work closely with internal stakeholders, partners, and customers to communicate architectural direction and tradeoffs
Innovate and define new architectural features to optimize PPA (performance, power, area) and meet robotics-specific requirements
Ensure solutions meet rigorous safety, reliability, and real-time constraints, including those required for automotive-grade systems
Collaborate with modeling teams to analyze real-world robotics use cases, identifying system bottlenecks and optimization opportunities
Provide ongoing architectural guidance to implementation teams across the project lifecycle, from idea to silicon delivery

Skills

SoC Architecture

Machine Learning

RISC-V

Chiplets

AI Hardware

Robotics

PPA Optimization

System Design

Semiconductors

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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