Memory Architect at Tenstorrent

Wellington, Kentucky, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

Deep understanding of JEDEC standard DRAMs (GDDR, HBM, LPDDR, DDR) and their specifications
10+ years of experience in memory system architecture, scheduling algorithms, and controller architecture exploration and design
Hands-on experience building performance/power simulators or developing memory IPs in HDL
Collaborative team player with excellent communication skills and a history of mentoring junior engineers
Experience with 3D-stacking, advanced packaging, custom memory, DFI, die-to-die interfaces, storage, and I/O protocols (huge plus)
Deep understanding of memory reliability and security (strong plus)
PhD with a focus on computer architecture or a strong research background (or a publication track record) (strong plus)

Responsibilities

Define the architecture and micro-architecture specifications for memory and I/O chiplets, focusing on state-of-the-art memory technology for AI and CPU applications
Explore and evaluate next-generation memory technologies, analyzing trade-offs across key metrics like bandwidth, latency, and power to develop a strategic roadmap
Develop and own a detailed performance and power modeling infrastructure to enable data-driven decisions for high-throughput, low-latency memory architectures
Work closely with SoC design/verification, physical design, packaging, and systems engineering teams to ensure seamless integration
Communicate frequently with external partners and customers

Skills

GDDR

HBM

LPDDR

DDR

3D-stacking

advanced packaging

custom memory

DFI

die-to-die interfaces

HDL

memory controllers

scheduling algorithms

performance simulators

memory reliability

RISC-V

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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