Power Architect, Automotive 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

Automotive, Semiconductors, AIIndustries

Requirements

Hands-on expert in Power Management and SoC Power Architecture, with proven experience in performance and energy efficiency 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 autonomous driving and robotics
Committed to execution and impact — enjoys doing, not just talking
Deep expertise in Power Management, SoC Power Architecture, Power Delivery Networks, Thermal Analysis, Power and Performance Trade-offs, and Throttling Algorithms
Knowledge of Silicon PVT corners, process node trade-offs, binning, voltage droop mitigation techniques, latency analysis, and responsiveness
Fluency in Power Estimation Methodologies (e.g., using PTPX inputs) and ability to define and execute power/performance trade-off modeling
Strong debugging and experimental design skills to root cause complex system issues
Excellent interpersonal skills to collaborate with cross-functional engineering teams
Familiarity with AI/ML workload analysis, Open Chiplet Architecture, and OCMI (Open Chiplet Management Interface)
Experience with D2D (Die-to-Die) links, package design trade-offs, or firmware development for power/performance optimization

Responsibilities

Shape the future of autonomous driving and robotics hardware through chiplets, SoCs, and full system design
Contribute to emerging standards like OCMI in open chiplet architectures
Collaborate across Silicon, Firmware, and Data Center teams to solve critical energy efficiency and responsiveness challenges
Influence the next generation of AI infrastructure—simpler, faster, lower-cost, and more open systems
Make bold contributions in a high-energy environment focused on rapid execution and long-term impact

Skills

Power Management

SoC Power Architecture

Chiplets

Energy Efficiency Optimization

Performance Optimization

Debugging

Root Cause Analysis

RISC-V

Autonomous Driving

Robotics

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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