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

Key technologies and capabilities for this role

Power AnalysisPhysical DesignSoC DesignPower OptimizationAI/MLRISC-VPower Modeling

Questions & Answers

Common questions about this position

What is the compensation range for this role?

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets, with the actual offer impacted by experience, skills, education, background, and location.

Is this role remote or hybrid, and where is it based?

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

What skills and experience are required for this position?

Requirements include an MS/PhD in EE/CE with 5-7+ years of SoC power analysis and optimization experience, proven expertise with PowerArtist and PrimePower, strong background in power modeling, budgeting, and PPA tradeoff analysis, and proficiency in Python/scripting with data analysis frameworks.

What is the company culture like at Tenstorrent?

Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems, with a diverse team of technologists passionate about AI and building the best AI platform.

What makes a strong candidate for this role?

Strong candidates are power optimization experts with deep SoC lifecycle experience, data-driven engineers using AI/ML for power modeling, collaborative problem-solvers, and passionate about performance per watt; various experience levels are welcome with assessment during interviews.

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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