Sr. Analog/Mixed-Signal Architect at Tenstorrent

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductors, AIIndustries

Requirements

10+ years of experience architecting and implementing analog/mixed-signal circuits, with hands-on expertise in die-to-die PHYs
Proven track record in analog/mixed-signal IC design, especially for high-speed, high-volume applications
Deep knowledge of die-to-die interconnect standards and PHYs (including UCIe and BoW), SerDes architectures, signal and power integrity
Mastery of high-speed interface design (e.g., SerDes, NRZ, PAM4), clocking (PLLs, DLLs), and advanced PI/SI analysis
Proficiency in EDA tools for analog/mixed-signal design, simulation, and layout (e.g., Cadence Virtuoso, Spectre, SPICE)
Strong communication skills and the ability to drive architectural definition, feasibility analysis, and cross-discipline integration
Adept at technical leadership—mentoring both junior and senior engineers and fostering a culture of innovation
Comfortable collaborating across digital, packaging, and system teams to deliver highly integrated, multi-die solutions
U.S. citizenship, permanent residency, asylee, or refugee status (due to U.S. Export Control laws)

Responsibilities

Define and lead the development of advanced die-to-die interconnect circuits for next-generation AI silicon
Architect high-speed analog/mixed-signal solutions
Drive adoption of cutting-edge standards such as UCIe and BoW
Shape the technology roadmap for chiplet-based products

Skills

Analog IC Design

Mixed-Signal IC Design

UCIe

BoW

SerDes

Die-to-Die Interconnect

PHY Design

Signal Integrity

Power Integrity

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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