Power Architect, AI Data Center Chiplets 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, Semiconductors, Data CentersIndustries

Requirements

Hands-on expert in Power Management and SoC Power Architecture, with proven experience in data center power optimization
Skilled at debugging, experimentation, and root cause analysis, thriving in fast-paced, technically challenging environments
Strong collaborator and communicator, comfortable working with multidisciplinary teams across silicon, firmware, and systems
Passionate, optimistic, and driven to make bold contributions that push the boundaries of AI hardware
Committed to execution and impact — enjoys doing, not just talking, and motivated to leave a mark on the future of AI
Deep expertise in Power Management, SoC Power Architecture, Power Delivery Networks, Thermal Analysis, and Performance Trade-offs
Proficiency in Power Estimation Methodologies (e.g., using PTPX inputs) and trade-off modeling
Experience with silicon PVT corners, process node trade-offs, binning, voltage droop mitigation techniques
Ability to analyze AI and ML workloads for performance and efficiency
Strong debugging skills and ability to design experiments to root cause issues
Great interpersonal and collaboration skills to work with diverse engineering teams

Responsibilities

Enhance energy efficiency of RISC-V based CPUs and AI Data Centers
Contribute to Open Chiplet Architecture for architectural flexibility, low cost product solutions that are simpler, faster, and open
Work in a fast-paced technical environment with multi-disciplinary teams to tackle energy efficiency challenges of Data Center Products
Own Silicon future through making IPs, Chiplets, Chips, Boards, and Systems

Skills

Key technologies and capabilities for this role

Power ManagementSoC Power ArchitectureRISC-VChipletsPower OptimizationData Center OptimizationDebuggingRoot Cause Analysis

Questions & Answers

Common questions about this position

Is this role remote or office-based?

This role is hybrid based out of Santa Clara, CA.

What are the key skills required for this position?

The role requires deep expertise in Power Management, SoC Power Architecture, Power Delivery Networks, Thermal Analysis, Performance Trade-offs, Power Estimation Methodologies, silicon PVT corners, process node trade-offs, binning, voltage droop mitigation, and analyzing AI/ML workloads, along with strong debugging and collaboration skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Tenstorrent?

Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems in a fast-paced technical environment with multi-disciplinary teams of smart engineers passionate about AI.

What makes a strong candidate for this Power Architect role?

A strong candidate is a hands-on expert in Power Management and SoC Power Architecture with proven data center power optimization experience, skilled at debugging and root cause analysis, a strong collaborator across multidisciplinary teams, and passionate about bold contributions to AI hardware.

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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