CPU Core Unit 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

AI, SemiconductorsIndustries

Requirements

Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field
Proven track record of designing high-performance CPU RTL
Deep understanding of design verification strategy and trade-offs for verification methodology (simulation, formal, various checkers, etc.)
Deep understanding of CPU microarchitecture and PPA trade-off
Basic understanding of RISC-V Architecture including V-extension is 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
U.S. citizenship/permanent residency, asylee, or refugee status (due to U.S. Export Control laws)

Responsibilities

CPU Core Unit Microarchitecture Specification: Define and develop microarchitecture specifications for the assigned unit (vector execution, vector load/store support), including comprehensive analysis/strategy for verification and PPA (power, performance, area) closure
CPU Core Unit RTL Design: Responsible for the quality of RTL including design verification and PPA closure, writing RTL, reviewing/refining unit verification environment, and applying RTL optimization to control PPA
AI Assisted Design Adaption: Actively use AI tools to accelerate the CPU design process
Mentoring Junior Engineers: Mentor team members as the lead

Skills

RTL

RISC-V

CPU Microarchitecture

Design Verification

Physical Design

PPA Optimization

Vector Execution

Unit Verification

AI Tools

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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