Power Analysis Physical Design Engineer at Tenstorrent

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

MS/PhD in EE/CE with 5-7+ years of SoC power analysis and optimization experience
Proven expertise with PowerArtist and PrimePower for accurate power analysis and correlation
Strong background in power modeling, budgeting, and PPA tradeoff analysis at RTL and system levels
Proficiency in Python/scripting and experience applying data analysis frameworks to power optimization
Power optimization expert with deep experience across the entire SoC lifecycle, from architecture to silicon
Data-driven engineer who leverages advanced analysis techniques, including AI/ML, to enhance power modeling
Collaborative problem-solver who partners effectively with cross-functional teams to drive power-aware decisions
Passionate about achieving industry-leading performance per watt through innovative power reduction techniques

Responsibilities

Drive power-efficient SoC designs across the family of CPU and AI products
Span the entire product lifecycle—from early architecture estimation through post-silicon optimization
Ensure industry-leading performance per watt
Apply cutting-edge techniques including AI/ML to solve complex power challenges

Skills

Power Analysis

Physical Design

SoC Design

Power Optimization

AI/ML

RISC-V

Power Modeling

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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