CPU Memory Systems RTL Lead 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

Semiconductors, Artificial IntelligenceIndustries

Requirements

Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field
Proven track record of memsys RTL design (e.g., loadstore) for high-performance CPU
Deep understanding of design verification strategy and trade-offs for verification methodology (simulation, formal, various checkers, etc.)
Deep understanding of how to verify if design complies with certain memory ordering rules
Deep understanding of CPU microarchitecture and PPA trade-off
Deep understanding of memory ordering model
Basic understanding of AMBA CHI protocol (preferred)
Basic understanding of RISC-V Architecture (preferred)
Proficiency in hardware description languages (HDLs) such as Verilog or VHDL
Excellent problem-solving abilities and analytical skills
Strong communication skills, with the ability to convey complex technical concepts to diverse audiences
Ability to work collaboratively in a team-oriented environment and across multiple disciplines
Deep understanding of CPU design including Architecture, RTL, Design Verification, Physical Design Flow

Responsibilities

Define and develop microarchitecture specifications for CPU (loadstore, data prefetch, cache coherency protocol, shared cache, etc.). The specification includes not only design, but also comprehensive analysis/strategy for verification and PPA (power, performance, area) closure
Define and develop interface between CPU core and external memory subsystem. This drives the definition of bus interface protocol including cache coherence protocol
Responsible for the quality of RTL including design verification and PPA closure. This includes writing RTL, reviewing/refining unit verification environment, applying right RTL optimization to control PPA
Actively use AI tools to accelerate the CPU design process
Drive the team building, the microarchitecture specification, RTL design, and verification

Skills

RTL

CPU Architecture

Microarchitecture

Design Verification

Physical Design

Cache Coherency

RISC-V

PPA

Bus Protocol

Load-Store Unit

Data Prefetch

Shared Cache

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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